Pipe operator

Description

See magrittr::%>% for details.

Usage

lhs %>% rhs

Arguments

Value

The result of calling rhs(lhs).

Pipe assign operator

Description

See magrittr::%<>% for details.

Usage

lhs %<>% rhs

Arguments

Value

The result of calling lhs <- rhs(lhs).

R6 Class Representing a Schedule

Description

This class is a representation of Precedence Diagramming Method (PDM). PDM is a technique used for constructing a schedule model in which activities are represented by nodes and are graphically linked by one or more logical relationships to show the sequence in which the activities are to be performed.

A schedule has activities and relations data-frames. With this class, it is possible to apply critical path method

Active bindings

Methods

Public methods

• Schedule$new()

• Schedule$add_activity()

• Schedule$add_activities()

• Schedule$get_activity()

• Schedule$add_relation()

• Schedule$add_relations()

• Schedule$add_act_rel()

• Schedule$print()

• Schedule$all_successors()

• Schedule$all_predecessors()

• Schedule$is_redundant()

• Schedule$change_durations()

• Schedule$gantt_matrix()

• Schedule$xy_gantt_matrix()

• Schedule$topoi_sp()

• Schedule$topoi_ad()

• Schedule$topoi_la()

• Schedule$topoi_tf()

• Schedule$clone()

Method new()

Make a schedule with activities and relations between activities. The method Schedule$new(activities, relations) creates an schedule object from two data frames, one containing activities lists and the other the precedence relations between activities. After creation, it is applied the Critical Path Method (CPM).

It is possible to create a empty schedule, without any activity or relation with the constructor Schedule$new(). After that, it is possible to add activity with add_activity and relation with add_relation methods.

Usage

Schedule$new(activities = NULL, relations = NULL)

Arguments

Returns

A Schedule object with CPM parameters calculated.

Method add_activity()

Add an activity to a schedule.

Usage

Schedule$add_activity(id, name = "", duration = 0L)

Arguments

Returns

A Schedule object with an activity added and the critical path calculated.

Method add_activities()

Add activities from a data frame to a schedule.

Usage

Schedule$add_activities(activities)

Arguments

Returns

A Schedule object with activities added and CPM calculated.

Method get_activity()

Gets an activity by id. It returns a data frame with one line about activity.

Usage

Schedule$get_activity(id)

Arguments

Returns

A data frame with one line with the activity, or an error if activity id doesn't exist.

Method add_relation()

Add a relation to a schedule.

Usage

Schedule$add_relation(from, to, type = "FS", lag = 0L)

Arguments

Returns

A Schedule object with CPM parameters calculated.

Method add_relations()

Add relations between activities from a data frame to a schedule.

Usage

Schedule$add_relations(relations)

Arguments

Returns

A Schedule object with relations added and CPM calculated.

Method add_act_rel()

Add an activity and her relations to a schedule.

Usage

Schedule$add_act_rel(
  id,
  name,
  duration,
  relations_id = c(),
  direction = "succ"
)

Arguments

Returns

A Schedule object.

Method print()

Print a description of the class

Usage

Schedule$print(...)

Arguments

Returns

A String .

Method all_successors()

List all successors from an activity: direct and indirect successors.

Usage

Schedule$all_successors(id, ign_to = NULL)

Arguments

Returns

A vector whith all activities ids.

Method all_predecessors()

List all predecessors from an activity: direct or indirect predecessors.

Usage

Schedule$all_predecessors(id, ign_from = NULL)

Arguments

Returns

A vector with all activities ids.

Method is_redundant()

Verify if a relation between two activities is redundant. A relation A->C is redundant if there are A->C, A->B, B->C relations.

Usage

Schedule$is_redundant(id_from, id_to)

Arguments

Returns

A logical TRUE if an arc is redundant; FALSE if it is not.

Method change_durations()

Change activities duration and calculate critical path. This way is faster than creating a new schedule with new durations.

Usage

Schedule$change_durations(new_durations)

Arguments

Returns

A Schedule object.

Method gantt_matrix()

Create a matrix that represents a Gantt chart, a matrix where "1" indicates that an activity is planned to be in execution.

In this matrix, the rows represent activities, whereas the columns represents the activity execution period. So, the number of columns is equal to project duration.

Usage

Schedule$gantt_matrix()

Returns

A matrix where "1" indicates that an activity is in execution.

Method xy_gantt_matrix()

Transform a Gantt matrix in x, y coordinates and the weight one. Each point greater than zero in a Gantt matrix becomes a x, y coordinate.

Usage

Schedule$xy_gantt_matrix(gantt = NULL)

Arguments

Returns

A matrix x, y and weight.

Method topoi_sp()

SP Serial or Parallel Topological Indicator: It shows the closeness of a network to a serial or parallel graph. As the network becomes serial, the SP increase, until one, when the network totally serial.

Usage

Schedule$topoi_sp()

Returns

A number between 0 and 1, inclusive.

Method topoi_ad()

AD Activity Distribution Topological Indicator: Measures the distribution of the activities over the levels. If AD is approximately equal zero, each level has same numbers of activities. Otherwise, if AD is equal one, the quantity of each level is not uniformly distributed.

Usage

Schedule$topoi_ad()

Returns

A number between 0 and 1, inclusive.

Method topoi_la()

LA Length of Arcs Topological Indicator: Measures the presence of long arcs based on the difference between the progressive level of the end activity and the start node of each relation. If LA is approximately equal zero, the progressive level between activities is as far as possible. Otherwise, if LA is equal one, the relation distance are one.

Usage

Schedule$topoi_la()

Returns

A number between 0 and 1, inclusive.

Method topoi_tf()

TF Topological Float Indicator: Measures the topological float of each activity. If TF = 0, there is no float between activities. If TF = 1, there is float between activities and they be shift without affecting other activities.

Usage

Schedule$topoi_tf()

Returns

A number between 0 and 1, inclusive.

Method clone()

The objects of this class are cloneable with this method.

Usage

Schedule$clone(deep = FALSE)

Arguments

Author(s)

Rubens Jose Rosa (rubens@rubensjoserosa.com), Marcos dos Santos (marcosdossantos@ime.eb.br), Thiago Marques (profestathimarques@gmail.com)

References

Csardi, G. & Nepusz, T. (2005). The Igraph Software Package for Complex Network Research. InterJournal. Complex Systems. 1695.

Project Management Institute (2017) A Guide to the Project Management Body of Knowledge (PMBOK Guide). Sixth Edition.

Project Management Institute (2017) PMI Lexicon of Project Management Terms: Version 3.2.

Vanhoucke, M. (2009) Measuring Time: Improving Project Performance Using Earned Value Management. Springer-Verlag US.

Vanhoucke, M. (2013) Project Management with Dynamic Scheduling: Baseline Scheduling, Risk Analysis and Project Control. Springer-Verlag Berlin Heidelberg.

Vanhoucke, M. (2014) Integrated Project Management and Control: First Comes the Theory, then the Practice. Springer International Publishing Switzerland.

See Also

On vignette package there is more information with examples about:

• Critical Path Method Package criticalpath.

• How to create a schedule:

  • Add activities and relations together to an schedule.

  • Add activities to a schedule.

  • Add relations to a schedule.

  • Create a schedule object from data frames.

• How to get schedule information:

  • Title, Reference and Schedule Duration.

• How to get activities properties:

  • Activity Properties.

  • Gantt Matrix.

• How to change activities duration:

  • Change Activities Duration.

• How to get relations properties:

  • Relation Properties

  • Successors and Predecessors.

• How to get topological properties:

  • Topological Indicators.

criticalpath: Critical Path Method R Implementation

Description

criticalpath package is an R implementation of the Critical Path Method (CPM). CPM is a method used to estimate the minimum project duration and determine the amount of scheduling flexibility on the logical network paths within the schedule model. The flexibility is in terms of early start, early finish, late start, late finish, total float and free float. Beside, it permits to quantify the complexity of network diagram through the analysis of topological indicators. Finally, it permits to change the activities duration to perform what-if scenario analysis.

Details

With this package, you can calculate the following CPM parameters:

• Schedule duration

• Early start and finish date of each activity

• Late start and finish date of each activity

• Critical activities

• Critical path

• Total float and free float

• Gantt Matrix

• What-if scenario analysis

• Topological indicators

Author(s)

Rubens Jose Rosa (rubens@rubensjoserosa.com), Marcos dos Santos (marcosdossantos@ime.eb.br), Thiago Marques (profestathimarques@gmail.com)

References

Csardi, G. & Nepusz, T. (2005). The Igraph Software Package for Complex Network Research. InterJournal. Complex Systems. 1695.

Project Management Institute (2017) A Guide to the Project Management Body of Knowledge (PMBOK Guide). Sixth Edition.

Project Management Institute (2017) PMI Lexicon of Project Management Terms: Version 3.2.

Vanhoucke, M. (2009) Measuring Time: Improving Project Performance Using Earned Value Management. Springer-Verlag US.

Vanhoucke, M. (2013) Project Management with Dynamic Scheduling: Baseline Scheduling, Risk Analysis and Project Control. Springer-Verlag Berlin Heidelberg.

Vanhoucke, M. (2014) Integrated Project Management and Control: First Comes the Theory, then the Practice. Springer International Publishing Switzerland.

See Also

On vignette package there are more information with examples about:

• How to create a schedule:

  • Create a new schedule without any information.

    • sch_new()

  • Add activities and relations together to an schedule.

    • sch_add_activities()

    • sch_add_relations()

  • Add activities to a schedule.

    • sch_add_activity()

  • Add relations to a schedule.

    • sch_add_relation()

• How to get schedule information:

  • Title

    • sch_title()

  • Reference

    • sch_reference()

  • Duration

    • sch_duration()

• How to get activities properties:

  • Activity Properties.

    • sch_activities()

    • sch_get_activity()

  • Gantt Matrix.

    • sch_gantt_matrix()

    • sch_xy_gantt_matrix()

• How to change activities duration:

  • Change Activities Duration.

    • sch_change_activities_duration()

• How to get relations properties:

  • Relation Properties

    • sch_relations()

  • Successors and Predecessors.

    • sch_all_successors()

    • sch_successors()

    • sch_all_predecessors()

    • sch_predecessors()

• How to get topological properties:

  • Topological Indicators.

    • sch_topoi_sp()

    • sch_topoi_ad()

    • sch_topoi_la()

    • sch_topoi_tf()

Activities

Description

Return a tibble with all activities of a schedule in an insertion order. These are the main information calculated by CPM.

Usage

sch_activities(sch)

Arguments

Details

The tibble is formed by following structure:

• id: Activity id.

• name: The name of activity.

• duration: A number that represents the activity's duration.

• milestone: A milestone is an activity with zero duration. This property indicates if an activity is a milestone or not: TRUE indicates it is a milestone; FALSE indicates it is not.

• critical: A critical activity is one with total float minor or equal to zero. This property indicates if an activity is critical: TRUE indicates it is critical; FALSE indicates it is not critical.

• early_start: Is the earliest start period an activity can begin after its predecessors without violating precedence relation.

• early_finish: Is the early start plus activity duration.

• late_start: Is the late finish minus activity duration.

• late_finish: Is the latest finish an activity can finish before their successors without violating precedence relation.

• total_float: It is the amount of period an activity can be delayed without violating the project duration. Its formula is: late_start - early_start or late_finish - early_finish

• free_float: It is the amount of period an activity can be delayed without violating the start time of the successors activities.

• progr_level: It is the rank of activities counted from begin. The level of the activities that don't have predecessor is one; the level of the other activities, is one plus the maximal level of their predecessor.

• regr_level: Regressive level is the rank of activities counted from the end. The level of the activities that don't have successor is the maximal progressive level; the level of the other activities, is one minus the minimal level of their successor.

• topo_float: It is the difference between progressive level and regressive level.

Value

A tibble with activities.

See Also

sch_has_any_activity(), sch_change_activities_duration(), sch_add_activity(), sch_nr_activities(), sch_critical_activities(), sch_add_activities(), sch_get_activity(), sch_duration().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2,3,4) %>%
  sch_add_activity(  2L, "a2" , 4L, 5) %>%
  sch_add_activity(  3L, "a3" , 9L, 10) %>%
  sch_add_activity(  4L, "a4" , 1L, 6) %>%
  sch_add_activity(  5L, "a5" , 4L, 9) %>%
  sch_add_activity(  6L, "a6" , 5L, 7) %>%
  sch_add_activity(  7L, "a7" , 1L, 8,11) %>%
  sch_add_activity(  8L, "a8" , 7L, 12) %>%
  sch_add_activity(  9L, "a9" , 8L, 12) %>%
  sch_add_activity( 10L, "a10", 3L, 12) %>%
  sch_add_activity( 11L, "a11", 3L, 12) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_activities(sch)

Add Activities

Description

Combine several vectors for activities and their attributes into a tibble, which can be combined with other similarly-generated tibbles, resulting in unique tibble to be added in a schedule. If the schedule already contain some activities, the new activities will be added in the end.

Usage

sch_add_activities(sch, id, name, duration, ...)

Arguments

Details

A activity tibble, or atb, has at least the following columns:

• id (of type integer): Activity id. It is an integer number that must be unique within a schedule.

• name (of type character): Activity name. It may be empty string.

• duration (of type integer): Activity duration. It is integer number without unit time. It may be zero.

An arbitrary number of additional columns containing data attributes can be part of the atb, so long as they follow the aforementioned columns.

Value

A schedule with a activity tibble (atb) added.

See Also

sch_reference(), sch_add_relations(), sch_add_activity(), sch_title(), sch_nr_activities(), sch_new(), sch_plan(), sch_get_activity(), sch_has_any_activity(), sch_change_activities_duration().

Examples

# Example #1
sch <- sch_new() %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
  ) %>%
  sch_plan()
sch_duration(sch)
sch_activities(sch)

# Example #2
sch <- sch_new() %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L),
    resource  = "Rubens",
    cost      = 123.45
  ) %>%
  sch_plan()
sch_duration(sch)
atb <- sch_activities(sch)
atb$resource
atb$cost

# Example #3
sch <- sch_new() %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L),
    resource  = c(
      "Rubens", "Jose", "Rosa", "Rodrigues", "Silva",
      "Rubens", "Jose", "Rosa", "Rodrigues", "Silva",
      "Rubens", "Jose", "Rosa", "Rodrigues", "Silva",
      "Rubens", "Jose"),
    cost      = c(
      123.45, 234.56, 345.56, 456.78, 567.89,
      123.45, 234.56, 345.56, 456.78, 567.89,
      123.45, 234.56, 345.56, 456.78, 567.89,
      123.45, 234.56)
  ) %>%
  sch_plan()
sch_duration(sch)
atb <- sch_activities(sch)
atb$resource
atb$cost

Add Activities Tibble

Description

Add activities tibble to a schedule.

Usage

sch_add_activities_tibble(sch, atb)

Arguments

Value

A schedule with a activity tibble (atb) added.

Examples

atb <- tibble::tibble(
  id        = 1:17,
  name      = paste("a", as.character(1:17), sep=""),
  duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
)
sch <- sch_new() %>%
  sch_add_activities_tibble(atb) %>%
  sch_plan()
sch_duration(sch) #4
# sch_activities(sch)

Add Activity

Description

Add an activity and her relations to a schedule. The relations are optional. They will be included if a set of activity id is informed, after activity duration.

Usage

sch_add_activity(sch, id, name, duration, ..., direction = "succ")

Arguments

Value

A Schedule object with an activity added to it. If relations id is present, it will be included to the schedule.

See Also

sch_change_activities_duration(), sch_has_any_activity(), sch_new(), sch_add_activities(), sch_get_activity(), sch_plan(), sch_nr_activities(), sch_add_relation().

Examples

# Example #1: Only with activities
sch <- sch_new() %>%
  sch_add_activity(1L, "Task 1", 5L) %>%
  sch_add_activity(2L, "Task 2", 6L) %>%
  sch_add_activity(3L, "Task 3", 8L) %>%
  sch_add_activity(4L, "Task 4", 6L) %>%
  sch_add_activity(5L, "Task 5", 9L) %>%
  sch_add_activity(6L, "Task 6", 3L) %>%
  sch_add_activity(7L, "Task 7", 4L) %>%
  sch_plan()
sch_duration(sch)
sch_activities(sch)

# Example #2: With activities and relations.
sch <- sch_new() %>%
  sch_add_activity(1L, "Task 1", 5L, 2L, 3L) %>%
  sch_add_activity(2L, "Task 2", 6L, 4L) %>%
  sch_add_activity(3L, "Task 3", 8L, 5L) %>%
  sch_add_activity(4L, "Task 4", 6L, 6L) %>%
  sch_add_activity(5L, "Task 5", 9L, 6L) %>%
  sch_add_activity(6L, "Task 6", 3L, 7L) %>%
  sch_add_activity(7L, "Task 7", 4L) %>%
  sch_plan()
sch_duration(sch)
sch_activities(sch)
sch_relations(sch)

Add Relation

Description

Add a relation to a schedule.

Usage

sch_add_relation(sch, from, to, type = "FS", lag = 0L)

Arguments

Value

A Schedule object with a relation added.

See Also

sch_has_any_relation(), sch_nr_relations(), sch_add_relations(), sch_plan(), sch_validate(), sch_add_activities(), sch_new().

Examples

sch <- sch_new() %>%
  sch_title("Project 3: Old Carriage House Renovation") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
  first comes the theory, then the practice. Gent: Springer, 2014, p. 11") %>%
  sch_add_activity( 1L, "a1" , 2L) %>%
  sch_add_activity( 2L, "a2" , 2L) %>%
  sch_add_activity( 3L, "a3" , 4L) %>%
  sch_add_activity( 4L, "a4" , 3L) %>%
  sch_add_activity( 5L, "a5" , 4L) %>%
  sch_add_activity( 6L, "a6" , 1L) %>%
  sch_add_activity( 7L, "a7" , 1L) %>%
  sch_add_activity( 8L, "a8" , 1L) %>%
  sch_add_activity( 9L, "a9" , 1L) %>%
  sch_add_activity(10L, "a10", 1L) %>%
  sch_add_activity(11L, "a11", 3L) %>%
  sch_add_activity(12L, "a12", 2L) %>%
  sch_add_activity(13L, "a13", 1L) %>%
  sch_add_activity(14L, "a14", 1L) %>%
  sch_add_activity(15L, "a15", 2L) %>%
  sch_add_activity(16L, "a16", 1L) %>%
  sch_add_activity(17L, "a17", 1L) %>%
  sch_add_relation( 1L,  2L) %>%
  sch_add_relation( 2L,  3L) %>%
  sch_add_relation( 3L,  4L) %>%
  sch_add_relation( 4L,  5L) %>%
  sch_add_relation( 5L,  6L) %>%
  sch_add_relation( 6L,  7L) %>%
  sch_add_relation( 6L,  8L) %>%
  sch_add_relation( 6L,  9L) %>%
  sch_add_relation( 7L, 10L) %>%
  sch_add_relation( 8L, 10L) %>%
  sch_add_relation( 9L, 10L) %>%
  sch_add_relation(10L, 11L) %>%
  sch_add_relation(10L, 13L) %>%
  sch_add_relation(11L, 12L) %>%
  sch_add_relation(12L, 15L) %>%
  sch_add_relation(13L, 14L) %>%
  sch_add_relation(14L, 15L) %>%
  sch_add_relation(15L, 16L) %>%
  sch_add_relation(16L, 17L) %>%
  sch_plan()
sch_duration(sch)
sch_activities(sch)
sch_relations(sch)

Add Relations

Description

Combine several vectors for relation and their attributes into a tibble and add relations between activities to a schedule.

Usage

sch_add_relations(sch, from, to, type = "FS", lag = 0L, ...)

Arguments

Details

An relation tibble, or rtb, has at least the following columns:

• from (of type integer): The id of predecessor activity. Must exist an activity with from id.

• to (of type integer): The id of successor activity. Must exist an activity with to id.

• type (of type character) Specifies the relation type between activities. The default type is FS and its value may be: FS, FF, SS, SF, that means:

  • FS: Finish-Start relation. Activity 'to' id can only start after the finish of activity 'from' id.

  • FF: Finish-Finish relation. Activity 'to' id must finish together with activity 'from' id.

  • SS: Start-Start relation. Activity 'to' id must start together with activity 'from' id.

  • SF: Start-Finish relation. Activity 'to' id must finish when activity 'from' id starts.

• lag (of type integer): The time period between activities that the successor activity to must be advanced after activity from has been finished. The value may be negative, in such case, the activity 'to' will be anticipated 'lag' time periods. It must be an integer, less than, equal or greater than zero. If lag is not defined, it is assumed to be zero.

An arbitrary number of additional columns containing data attributes can be part of the rtb, so long as they follow the aforementioned columns.

Value

A schedule with a relation tibble (rtb) added.

See Also

sch_title(), sch_reference(), sch_add_relation(), sch_nr_relations(), sch_has_any_relation(), sch_new(), sch_plan(), sch_add_activities(), sch_validate().

Examples

sch <- sch_new() %>%
  sch_title("Project 1: Cost Information System") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
    first comes the theory, then the practice.Gent: Springer, 2014, p. 6"
  ) %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
  ) %>%
  sch_plan()
sch_has_any_relation(sch) # FALSE
sch_nr_relations(sch) # 0
sch_duration(sch) # 4

sch %<>%
  sch_add_relations(
    from = c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,  3L,  4L,  5L,  6L,
             7L,  8L,  9L, 10L, 11L, 11L, 12L, 12L, 13L, 13L, 14L, 14L, 15L, 15L),
    to   = c(2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 11L, 11L,
             12L, 13L, 14L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L)
  ) %>%
  sch_plan()
sch_has_any_relation(sch) # TRUE
sch_nr_relations(sch) # 26
sch_duration(sch) # 11

Add Relations Tibble

Description

Add relations tibble to a schedule.

Usage

sch_add_relations_tibble(sch, rtb)

Arguments

Value

A Schedule object with a relation added.

Examples

atb <- tibble::tibble(
  id        = 1:17,
  name      = paste("a", as.character(1:17), sep=""),
  duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
)
rtb <- data.frame(
  from = c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,  3L,  4L,  5L,  6L,
           7L,  8L,  9L, 10L, 11L, 11L, 12L, 12L, 13L, 13L, 14L, 14L, 15L, 15L),
  to   = c(2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 11L, 11L,
           12L, 13L, 14L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L)
)
sch <- sch_new() %>%
  sch_add_activities_tibble(atb) %>%
  sch_add_relations_tibble(rtb) %>%
  sch_plan()
sch_duration(sch) # 11

All Predecessors

Description

List all predecessors from an activity: direct or indirect predecessors.

Usage

sch_all_predecessors(sch, id, ign_from = NULL)

Arguments

Value

A vector with all activities ids.

See Also

sch_successors(), sch_relations(), sch_is_redundant(), sch_all_successors(), sch_activities(), sch_non_critical_activities(), sch_predecessors().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity( 2L, "a2" , 4L,  5L, 12L) %>%
  sch_add_activity( 3L, "a3" , 9L, 10L) %>%
  sch_add_activity( 4L, "a4" , 1L,  6L) %>%
  sch_add_activity( 5L, "a5" , 4L,  9L) %>%
  sch_add_activity( 6L, "a6" , 5L,  7L) %>%
  sch_add_activity( 7L, "a7" , 1L,  8L,11L) %>%
  sch_add_activity( 8L, "a8" , 7L, 12L) %>%
  sch_add_activity( 9L, "a9" , 8L, 12L) %>%
  sch_add_activity(10L, "a10", 3L, 12L) %>%
  sch_add_activity(11L, "a11", 3L, 12L) %>%
  sch_add_activity(12L, "a12", 0L) %>%
  sch_plan()
sch_all_predecessors(sch, 2) # nothing
sch_all_predecessors(sch, 7) # 6, 4
sch_all_predecessors(sch, 10) # 3

All Successors

Description

List all successors from an activity: direct and indirect successors.

Usage

sch_all_successors(sch, id, ign_to = NULL)

Arguments

Value

A vector with all activities ids.

See Also

sch_predecessors(), sch_activities(), sch_non_critical_activities(), sch_successors(), sch_relations(), sch_is_redundant(), sch_all_predecessors().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity( 2L, "a2" , 4L,  5L, 12L) %>%
  sch_add_activity( 3L, "a3" , 9L, 10L) %>%
  sch_add_activity( 4L, "a4" , 1L,  6L) %>%
  sch_add_activity( 5L, "a5" , 4L,  9L) %>%
  sch_add_activity( 6L, "a6" , 5L,  7L) %>%
  sch_add_activity( 7L, "a7" , 1L,  8L,11L) %>%
  sch_add_activity( 8L, "a8" , 7L, 12L) %>%
  sch_add_activity( 9L, "a9" , 8L, 12L) %>%
  sch_add_activity(10L, "a10", 3L, 12L) %>%
  sch_add_activity(11L, "a11", 3L, 12L) %>%
  sch_add_activity(12L, "a12", 0L) %>%
  sch_plan()

sch_all_successors(sch, 2) # 5, 9, 12
sch_all_successors(sch, 7) # 8, 11, 12
sch_all_successors(sch, 10) # 12

Change Activities Duration

Description

Change activities duration and calculates critical path. This way is faster than creating a new schedule with new durations. The order of duration is the insertion order of activities.

Usage

sch_change_activities_duration(sch, new_durations)

Arguments

Value

A schedule object with new durations.

See Also

sch_activities(), sch_has_any_activity(), sch_duration(), sch_nr_activities(), sch_add_activity(), sch_add_activities(), sch_get_activity().

Examples

sch <- sch_new() %>%
  sch_title("Project 2: Patient Transport System") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
  first comes the theory, then the practice. Gent: Springer, 2014, p. 9") %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,1L,3L,2L, 2L,2L,2L,1L, 4L,5L,3L,3L, 4L,5L,1L,5L,2L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 3L, 3L, 4L, 5L, 6L, 7L, 8L,  8L,  8L,
             8L,  8L,  9L, 10L, 11L, 12L, 13L, 13L, 14L, 14L, 15L, 15L),
    to   = c(2L, 3L, 4L, 6L, 5L, 8L, 7L, 8L, 9L, 10L, 11L,
             12L, 13L, 14L, 14L, 14L, 14L, 14L, 15L, 16L, 17L, 16L, 17L)
  ) %>%
  sch_plan()

# Project duration
sch_duration(sch) # 25
# Activities duration
atb <- sch_activities(sch)
atb$duration

# Now, change activities duration
new_durations <- c(1L,2L,5L, 4L,3L, 2L,1L, 5L, 3L,5L,5L,3L,4L, 2L,1L, 2L,4L)
sch %<>%
  sch_change_activities_duration(new_durations)

#Project duration
sch_duration(sch) # 31
# Activities duration
atb <- sch_activities(sch)
atb$duration

Critical Activities

Description

Return a tibble with all critical activities of a schedule in an insertion order.

Usage

sch_critical_activities(sch)

Arguments

Value

A tibble with critical activities.

See Also

sch_get_activity(), sch_add_activities(), sch_activities(), sch_add_activity(), sch_nr_activities(), sch_non_critical_activities(), sch_has_any_activity().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2,3,4) %>%
  sch_add_activity(  2L, "a2" , 4L, 5) %>%
  sch_add_activity(  3L, "a3" , 9L, 10) %>%
  sch_add_activity(  4L, "a4" , 1L, 6) %>%
  sch_add_activity(  5L, "a5" , 4L, 9) %>%
  sch_add_activity(  6L, "a6" , 5L, 7) %>%
  sch_add_activity(  7L, "a7" , 1L, 8,11) %>%
  sch_add_activity(  8L, "a8" , 7L, 12) %>%
  sch_add_activity(  9L, "a9" , 8L, 12) %>%
  sch_add_activity( 10L, "a10", 3L, 12) %>%
  sch_add_activity( 11L, "a11", 3L, 12) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_critical_activities(sch)

Critical Relations

Description

Return a tibble with critical relations of a schedule in topological order.

Usage

sch_critical_relations(sch, order = "topological")

Arguments

Value

A tibble with critical relations.

See Also

sch_relations(), sch_add_activities(), sch_has_any_relation(), sch_topoi_tf(), sch_gantt_matrix(), sch_activities(), sch_topoi_la(), sch_add_relations(), sch_topoi_sp(), sch_non_critical_activities(), sch_topoi_ad(), sch_nr_relations(), sch_non_critical_relations().

Examples

sch <- sch_new() %>%
  sch_title("Project 3: Old Carriage House Renovation") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
  first comes the theory, then the practice. Gent: Springer, 2014, p. 11") %>%
  sch_add_activity( 1L, "a1" , 2L) %>%
  sch_add_activity( 2L, "a2" , 2L) %>%
  sch_add_activity( 3L, "a3" , 4L) %>%
  sch_add_activity( 4L, "a4" , 3L) %>%
  sch_add_activity( 5L, "a5" , 4L) %>%
  sch_add_activity( 6L, "a6" , 1L) %>%
  sch_add_activity( 7L, "a7" , 1L) %>%
  sch_add_activity( 8L, "a8" , 1L) %>%
  sch_add_activity( 9L, "a9" , 1L) %>%
  sch_add_activity(10L, "a10", 1L) %>%
  sch_add_activity(11L, "a11", 3L) %>%
  sch_add_activity(12L, "a12", 2L) %>%
  sch_add_activity(13L, "a13", 1L) %>%
  sch_add_activity(14L, "a14", 1L) %>%
  sch_add_activity(15L, "a15", 2L) %>%
  sch_add_activity(16L, "a16", 1L) %>%
  sch_add_activity(17L, "a17", 1L) %>%
  sch_add_relation(14L, 15L) %>%
  sch_add_relation( 9L, 10L) %>%
  sch_add_relation( 2L,  3L) %>%
  sch_add_relation( 8L, 10L) %>%
  sch_add_relation(10L, 13L) %>%
  sch_add_relation( 5L,  6L) %>%
  sch_add_relation(11L, 12L) %>%
  sch_add_relation(15L, 16L) %>%
  sch_add_relation( 6L,  8L) %>%
  sch_add_relation( 3L,  4L) %>%
  sch_add_relation(16L, 17L) %>%
  sch_add_relation( 6L,  7L) %>%
  sch_add_relation(10L, 11L) %>%
  sch_add_relation(13L, 14L) %>%
  sch_add_relation( 4L,  5L) %>%
  sch_add_relation( 7L, 10L) %>%
  sch_add_relation(12L, 15L) %>%
  sch_add_relation( 6L,  9L) %>%
  sch_add_relation( 1L,  2L) %>%
  sch_plan()
# In "topological" order.
sch_critical_relations(sch)
# In "insert" order.
sch_critical_relations(sch, order = "insert")

Duration

Description

An integer value that indicates the duration of a schedule. Atention: the schedule must be planned with the function sch_plan().

Usage

sch_duration(sch)

Arguments

Value

The duration of the schedule.

See Also

sch_change_activities_duration(), sch_validate(), sch_add_activities(), sch_reference(), sch_add_relations(), sch_title(), sch_gantt_matrix(), sch_plan(), sch_new().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id = c(1L, 2L, 3L, 4L),
    name = c("A", "B", "C", "D"),
    duration = c(3L, 4L, 9L, 1L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 2L),
    to   = c(2L, 3L, 4L)
  ) %>%
  sch_plan()
sch_duration(sch) # 16

Evaluate Redundancy

Description

Evaluates redundancy of each relation and creates another column in relation tibble. If the schedule does not have any relation, this function do nothing.

Usage

sch_evaluate_redundancy(sch)

Arguments

Value

Object Schedule redundancy column added. Or the Schedule without any modification, is trere is no relation in it.

Examples

atb <- tibble::tibble(
  id        = 1:17,
  name      = paste("a", as.character(1:17), sep=""),
  duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
)
rtb <- data.frame(
  from = c(1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L,  3L,  4L,  5L,  6L,
           7L,  8L,  9L, 10L, 11L, 11L, 12L, 12L, 13L, 13L, 14L, 14L, 15L, 15L),
  to   = c(2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 11L, 11L,
           12L, 13L, 14L, 15L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L)
)
sch <- sch_new() %>%
  sch_title("Project 1: Cost Information System") %>%
  sch_reference("VANHOUCKE, Mario.
      Integrated project management and control:
      first comes the theory, then the practice.
      Gent: Springer, 2014, p. 6") %>%
  sch_add_activities_tibble(atb) %>%
  sch_add_relations_tibble(rtb) %>%
  sch_plan() %>%
  sch_evaluate_redundancy()

sch_duration(sch)  # 11L

rtb <- sch_relations(sch)
sum(rtb$redundant) # 0

sch1 <- sch %>%
  sch_add_relation(1L, 6L) %>%
  sch_add_relation(3L, 16L) %>%
  sch_add_relation(4L, 17L) %>%
  sch_plan() %>%
  sch_evaluate_redundancy()

sch_duration(sch)  # 11L

rtb <- sch_relations(sch1)
sum(rtb$redundant) # 3L

Gantt Matrix

Description

Create a matrix that represents a Gantt chart, a matrix where "1" indicates that an activity is planned to be in execution. Atention: the schedule must be planned with the function sch_plan().

Usage

sch_gantt_matrix(sch)

Arguments

Details

In this matrix, the rows represent activities, whereas the columns represents the activity execution period. So, the number of columns is equal to project duration. The cells is an integer value that indicates the activity is in execution or not.

Value

A matrix where 1 indicates that an activity is in execution and 0, the activity is not executing.

See Also

sch_add_activities(), sch_activities(), sch_add_relations(), sch_add_relation(), sch_relations(), sch_plan(), sch_xy_gantt_matrix().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id        = c( 1L,  2L,  3L,  4L),
    name      = c("A", "B", "C", "D"),
    duration  = c( 2L,  3L,  1L, 2L )
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 4L, 4L),
    to   = c(3L, 3L, 1L, 2L)
  ) %>%
  sch_plan()

sch_duration(sch)
gantt <- sch_gantt_matrix(sch)
gantt

# What is the effort by time period?
colSums(gantt) # 1 1 2 2 1 1

# What is the duration by activities?
rowSums(gantt) # 2 3 1 2

# what is the S curve
cumsum(colSums(gantt))
plot(cumsum(colSums(gantt)), type="l", lwd=3)

Get Activity

Description

Gets an activity by id.

Usage

sch_get_activity(sch, aid)

Arguments

Value

A an activity information in a tibble with one line, or an error if activity id doesn't exist.

See Also

sch_activities(), sch_duration(), sch_nr_activities(), sch_add_activities(), sch_critical_activities(), sch_has_any_activity(), sch_change_activities_duration(), sch_add_activity().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id        = 1:17,
    name      = paste("a", as.character(1:17), sep=""),
    duration  = c(1L,2L,2L,4L,3L,3L,3L,2L,1L,1L,2L,1L,1L,1L,1L,2L,1L)
  ) %>%
  sch_plan()
sch_get_activity(sch, 7)

Has Any Activity

Description

A logical value that indicates if the schedule has any activity. A TRUE value means that the schedule has any activity; a FALSE, means that the schedule do not have any activity.

Usage

sch_has_any_activity(sch)

Arguments

Value

A logical value:

• TRUE: The schedule has any activity;

• FALSE: The schedule do not have any activity.

See Also

sch_nr_activities(), sch_critical_activities(), sch_add_activities(), sch_change_activities_duration(), sch_activities(), sch_nr_relations(), sch_has_any_relation(), sch_add_activity().

Examples

sch <- sch_new()
sch_has_any_activity(sch) # FALSE

sch <- sch_new() %>%
  sch_add_activity(1L, "Only one", 0L) %>%
  sch_plan()
sch_has_any_activity(sch) # TRUE

Has Any Relation

Description

A logical value that indicates if the schedule has any relation. A TRUE value means that the schedule has some relation; a FALSE, means that the schedule do not have any relation.

Usage

sch_has_any_relation(sch)

Arguments

Value

A logical value:

• TRUE: The schedule has any relation;

• FALSE: The schedule do not have any relation.

See Also

sch_topoi_la(), sch_relations(), sch_add_relations(), sch_topoi_sp(), sch_has_any_activity(), sch_all_predecessors(), sch_topoi_ad(), sch_nr_relations(), sch_all_successors(), sch_nr_activities(), sch_topoi_tf().

Examples

sch <- sch_new()
sch_has_any_relation(sch) # FALSE

sch <- sch_new() %>%
  sch_add_activity(1L, "A", 2L) %>%
  sch_add_activity(2L, "B", 5L, 1L, direction = "pred")
sch_has_any_activity(sch) # TRUE

Is Redundant

Description

Verify if a relation between two activities is redundant. A relation A->C is redundant if there are A->C, A->B, B->C relations.

Usage

sch_is_redundant(sch, id_from, id_to)

Arguments

Value

A logical TRUE if an arc is redundant; FALSE if it is not.

See Also

sch_all_predecessors(), sch_all_successors(), sch_gantt_matrix(), sch_relations(), sch_predecessors(), sch_successors(), sch_activities().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity( 2L, "a2" , 4L,  5L, 12L) %>%
  sch_add_activity( 3L, "a3" , 9L, 10L) %>%
  sch_add_activity( 4L, "a4" , 1L,  6L) %>%
  sch_add_activity( 5L, "a5" , 4L,  9L) %>%
  sch_add_activity( 6L, "a6" , 5L,  7L) %>%
  sch_add_activity( 7L, "a7" , 1L,  8L,11L) %>%
  sch_add_activity( 8L, "a8" , 7L, 12L) %>%
  sch_add_activity( 9L, "a9" , 8L, 12L) %>%
  sch_add_activity(10L, "a10", 3L, 12L) %>%
  sch_add_activity(11L, "a11", 3L, 12L) %>%
  sch_add_activity(12L, "a12", 0L) %>%
  sch_plan()
sch_is_redundant(sch, 2, 5) # FALSE
sch_is_redundant(sch, 2, 12) # TRUE

New Schedule

Description

Create a new schedule without any information. The new schedule contains the structure to include activities and relations.

Usage

sch_new()

Value

A list with schedule definition.

See Also

sch_reference(), sch_add_activities(), sch_duration(), sch_xy_gantt_matrix(), sch_plan(), sch_add_relations(), sch_validate(), sch_non_critical_activities(), sch_title().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id = c(1L, 2L, 3L, 4L),
    name = c("A", "B", "C", "D"),
    duration = c(3L, 4L, 9L, 1L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 2L),
    to   = c(2L, 3L, 4L)
  ) %>%
  sch_plan()
sch_duration(sch) # 16

Non Critical Activities

Description

Return a tibble with all non critical activities of a schedule in an insertion order.

Usage

sch_non_critical_activities(sch)

Arguments

Value

A tibble with non critical activities.

See Also

sch_get_activity(), sch_add_activity(), sch_activities(), sch_critical_activities(), sch_has_any_activity(), sch_nr_activities(), sch_add_activities().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2,3,4) %>%
  sch_add_activity(  2L, "a2" , 4L, 5) %>%
  sch_add_activity(  3L, "a3" , 9L, 10) %>%
  sch_add_activity(  4L, "a4" , 1L, 6) %>%
  sch_add_activity(  5L, "a5" , 4L, 9) %>%
  sch_add_activity(  6L, "a6" , 5L, 7) %>%
  sch_add_activity(  7L, "a7" , 1L, 8,11) %>%
  sch_add_activity(  8L, "a8" , 7L, 12) %>%
  sch_add_activity(  9L, "a9" , 8L, 12) %>%
  sch_add_activity( 10L, "a10", 3L, 12) %>%
  sch_add_activity( 11L, "a11", 3L, 12) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_non_critical_activities(sch)

Non Critical Relations

Description

Return a tibble with non critical relations of a schedule in topological order.

Usage

sch_non_critical_relations(sch, order = "topological")

Arguments

Value

A tibble with non critical relations.

See Also

sch_relations(), sch_add_activities(), sch_has_any_relation(), sch_topoi_tf(), sch_gantt_matrix(), sch_activities(), sch_topoi_la(), sch_add_relations(), sch_topoi_sp(), sch_non_critical_activities(), sch_topoi_ad(), sch_nr_relations(), sch_critical_relations().

Examples

sch <- sch_new() %>%
  sch_title("Project 3: Old Carriage House Renovation") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
  first comes the theory, then the practice. Gent: Springer, 2014, p. 11") %>%
  sch_add_activity( 1L, "a1" , 2L) %>%
  sch_add_activity( 2L, "a2" , 2L) %>%
  sch_add_activity( 3L, "a3" , 4L) %>%
  sch_add_activity( 4L, "a4" , 3L) %>%
  sch_add_activity( 5L, "a5" , 4L) %>%
  sch_add_activity( 6L, "a6" , 1L) %>%
  sch_add_activity( 7L, "a7" , 1L) %>%
  sch_add_activity( 8L, "a8" , 1L) %>%
  sch_add_activity( 9L, "a9" , 1L) %>%
  sch_add_activity(10L, "a10", 1L) %>%
  sch_add_activity(11L, "a11", 3L) %>%
  sch_add_activity(12L, "a12", 2L) %>%
  sch_add_activity(13L, "a13", 1L) %>%
  sch_add_activity(14L, "a14", 1L) %>%
  sch_add_activity(15L, "a15", 2L) %>%
  sch_add_activity(16L, "a16", 1L) %>%
  sch_add_activity(17L, "a17", 1L) %>%
  sch_add_relation(14L, 15L) %>%
  sch_add_relation( 9L, 10L) %>%
  sch_add_relation( 2L,  3L) %>%
  sch_add_relation( 8L, 10L) %>%
  sch_add_relation(10L, 13L) %>%
  sch_add_relation( 5L,  6L) %>%
  sch_add_relation(11L, 12L) %>%
  sch_add_relation(15L, 16L) %>%
  sch_add_relation( 6L,  8L) %>%
  sch_add_relation( 3L,  4L) %>%
  sch_add_relation(16L, 17L) %>%
  sch_add_relation( 6L,  7L) %>%
  sch_add_relation(10L, 11L) %>%
  sch_add_relation(13L, 14L) %>%
  sch_add_relation( 4L,  5L) %>%
  sch_add_relation( 7L, 10L) %>%
  sch_add_relation(12L, 15L) %>%
  sch_add_relation( 6L,  9L) %>%
  sch_add_relation( 1L,  2L) %>%
  sch_plan()
# In "topological" order.
sch_non_critical_relations(sch)
# In "insert" order.
sch_non_critical_relations(sch, order = "insert")

Nr. of Activities

Description

Number of activities in a schedule as an integer value.

Usage

sch_nr_activities(sch)

Arguments

Value

A integer value indicating the number of activities.

See Also

sch_add_activity(), sch_nr_relations(), sch_add_activities(), sch_activities(), sch_change_activities_duration(), sch_critical_activities(), sch_get_activity(), sch_has_any_relation().

Examples

sch <- sch_new()
sch_nr_activities(sch) # 0

sch <- sch_new() %>%
  sch_add_activity(1L, "Only one", 0L) %>%
  sch_plan()
sch_nr_activities(sch) # 1

Nr. of Relations

Description

Number of relations in a schedule as an integer value.

Usage

sch_nr_relations(sch)

Arguments

Value

A integer value indicating the number of relations.

See Also

sch_relations(), sch_topoi_la(), sch_topoi_tf(), sch_all_successors(), sch_topoi_ad(), sch_nr_activities(), sch_topoi_sp(), sch_has_any_relation(), sch_all_predecessors(), sch_add_relations(), sch_has_any_activity().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2,3,4) %>%
  sch_add_activity(  2L, "a2" , 4L, 5) %>%
  sch_add_activity(  3L, "a3" , 9L, 10) %>%
  sch_add_activity(  4L, "a4" , 1L, 6) %>%
  sch_add_activity(  5L, "a5" , 4L, 9) %>%
  sch_add_activity(  6L, "a6" , 5L, 7) %>%
  sch_add_activity(  7L, "a7" , 1L, 8,11) %>%
  sch_add_activity(  8L, "a8" , 7L, 12) %>%
  sch_add_activity(  9L, "a9" , 8L, 12) %>%
  sch_add_activity( 10L, "a10", 3L, 12) %>%
  sch_add_activity( 11L, "a11", 3L, 12) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_nr_relations(sch) # 14

Plan Schedule

Description

Perform schedule plan: execute topological sort and critical path calculation. All information about critical path are calculated.

Usage

sch_plan(sch)

Arguments

Value

A schedule with critical path calculated.

See Also

sch_gantt_matrix(), sch_duration(), sch_reference(), sch_add_activities(), sch_has_any_activity(), sch_title(), sch_new(), sch_add_relations().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id = c(1L, 2L, 3L, 4L),
    name = c("A", "B", "C", "D"),
    duration = c(3L, 4L, 9L, 1L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 2L),
    to   = c(2L, 3L, 4L)
  ) %>%
  sch_plan()
sch_duration(sch) # 16

Predecessors

Description

List the direct predecessors of an activity.

Usage

sch_predecessors(sch, id)

Arguments

Value

A vector with all activities ids.

See Also

sch_gantt_matrix(), sch_all_successors(), sch_is_redundant(), sch_all_predecessors(), sch_successors(), sch_activities(), sch_relations().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity( 2L, "a2" , 4L,  5L, 12L) %>%
  sch_add_activity( 3L, "a3" , 9L, 10L) %>%
  sch_add_activity( 4L, "a4" , 1L,  6L) %>%
  sch_add_activity( 5L, "a5" , 4L,  9L) %>%
  sch_add_activity( 6L, "a6" , 5L,  7L) %>%
  sch_add_activity( 7L, "a7" , 1L,  8L,11L) %>%
  sch_add_activity( 8L, "a8" , 7L, 12L) %>%
  sch_add_activity( 9L, "a9" , 8L, 12L) %>%
  sch_add_activity(10L, "a10", 3L, 12L) %>%
  sch_add_activity(11L, "a11", 3L, 12L) %>%
  sch_add_activity(12L, "a12", 0L) %>%
  sch_plan()
sch_predecessors(sch, 2) # nothing
sch_predecessors(sch, 7) # 6
sch_predecessors(sch, 10) # 3

Reference

Description

A reference from project origin, for example, a book, a paper, a corporation, or nothing.

Usage

sch_reference(sch, new_value = NULL)

Arguments

Value

• A schedule object with new reference.

• A reference.

See Also

sch_new(), sch_activities(), sch_relations(), sch_title(), sch_plan(), sch_duration(), sch_validate().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id = c(1L, 2L, 3L, 4L),
    name = c("A", "B", "C", "D"),
    duration = c(3L, 4L, 9L, 1L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 2L),
    to   = c(2L, 3L, 4L)
  ) %>%
  sch_plan()

sch_reference(sch) # empty
sch %<>% sch_reference("This schedule is from...")
sch_reference(sch)

Relations

Description

Return a tibble with all relations of a schedule in topological order. These are the main information calculated by CPM.

Usage

sch_relations(sch, order = "topological")

Arguments

Details

The tibble is formed by following structure:

• from: Predecessor activity id from a relation.

• to: Successor activity id to a relation.

• type: The type of relation between activities. Its value may be: FS, FF, SS, SF.

• lag: The time period between activity predecessor and activity successor activity

• critical: A critical relation is formed by two activity critical: predecessor and successor. TRUE indicates it is critical; FALSE indicates it is not critical.

• ord: Indicates de order that the relation was added in the schedule.

• i_from: It is the index of predecessor activity in the activities tibble.

• i_to: It is the index of successor activity in the activities tibble.

Value

A tibble with relations.

See Also

sch_add_activities(), sch_has_any_relation(), sch_topoi_tf(), sch_gantt_matrix(), sch_activities(), sch_add_relations(), sch_topoi_sp(), sch_topoi_la(), sch_non_critical_activities(), sch_topoi_ad(), sch_nr_relations().

Examples

sch <- sch_new() %>%
  sch_title("Project 3: Old Carriage House Renovation") %>%
  sch_reference(
    "VANHOUCKE, Mario. Integrated project management and control:
  first comes the theory, then the practice. Gent: Springer, 2014, p. 11") %>%
  sch_add_activity( 1L, "a1" , 2L) %>%
  sch_add_activity( 2L, "a2" , 2L) %>%
  sch_add_activity( 3L, "a3" , 4L) %>%
  sch_add_activity( 4L, "a4" , 3L) %>%
  sch_add_activity( 5L, "a5" , 4L) %>%
  sch_add_activity( 6L, "a6" , 1L) %>%
  sch_add_activity( 7L, "a7" , 1L) %>%
  sch_add_activity( 8L, "a8" , 1L) %>%
  sch_add_activity( 9L, "a9" , 1L) %>%
  sch_add_activity(10L, "a10", 1L) %>%
  sch_add_activity(11L, "a11", 3L) %>%
  sch_add_activity(12L, "a12", 2L) %>%
  sch_add_activity(13L, "a13", 1L) %>%
  sch_add_activity(14L, "a14", 1L) %>%
  sch_add_activity(15L, "a15", 2L) %>%
  sch_add_activity(16L, "a16", 1L) %>%
  sch_add_activity(17L, "a17", 1L) %>%
  sch_add_relation(14L, 15L) %>%
  sch_add_relation( 9L, 10L) %>%
  sch_add_relation( 2L,  3L) %>%
  sch_add_relation( 8L, 10L) %>%
  sch_add_relation(10L, 13L) %>%
  sch_add_relation( 5L,  6L) %>%
  sch_add_relation(11L, 12L) %>%
  sch_add_relation(15L, 16L) %>%
  sch_add_relation( 6L,  8L) %>%
  sch_add_relation( 3L,  4L) %>%
  sch_add_relation(16L, 17L) %>%
  sch_add_relation( 6L,  7L) %>%
  sch_add_relation(10L, 11L) %>%
  sch_add_relation(13L, 14L) %>%
  sch_add_relation( 4L,  5L) %>%
  sch_add_relation( 7L, 10L) %>%
  sch_add_relation(12L, 15L) %>%
  sch_add_relation( 6L,  9L) %>%
  sch_add_relation( 1L,  2L) %>%
  sch_plan()
# In "topological" order.
sch_relations(sch)
# In "insert" order.
sch_relations(sch, order = "insert")

Successors

Description

List the direct successors from an activity.

Usage

sch_successors(sch, id)

Arguments

Value

A vector with all activities ids.

See Also

sch_relations(), sch_all_predecessors(), sch_activities(), sch_gantt_matrix(), sch_predecessors(), sch_is_redundant(), sch_all_successors().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity( 2L, "a2" , 4L,  5L, 12L) %>%
  sch_add_activity( 3L, "a3" , 9L, 10L) %>%
  sch_add_activity( 4L, "a4" , 1L,  6L) %>%
  sch_add_activity( 5L, "a5" , 4L,  9L) %>%
  sch_add_activity( 6L, "a6" , 5L,  7L) %>%
  sch_add_activity( 7L, "a7" , 1L,  8L,11L) %>%
  sch_add_activity( 8L, "a8" , 7L, 12L) %>%
  sch_add_activity( 9L, "a9" , 8L, 12L) %>%
  sch_add_activity(10L, "a10", 3L, 12L) %>%
  sch_add_activity(11L, "a11", 3L, 12L) %>%
  sch_add_activity(12L, "a12", 0L) %>%
  sch_plan()

sch_successors(sch, 2) # 5, 12
sch_successors(sch, 7) # 8, 11
sch_successors(sch, 10) # 12

Title

Description

A title for project identification. It depends on user of the class. It is used to set or get project's title.

Usage

sch_title(sch, new_value)

Arguments

Value

• A schedule object with new title.

• A title.

See Also

sch_relations(), sch_plan(), sch_new(), sch_validate(), sch_activities(), sch_reference(), sch_duration().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id = c(1L, 2L, 3L, 4L),
    name = c("A", "B", "C", "D"),
    duration = c(3L, 4L, 9L, 1L)
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 2L),
    to   = c(2L, 3L, 4L)
  ) %>%
  sch_plan()

sch_title(sch) # empty
sch %<>% sch_title("New title")
sch_title(sch)

AD Activity Distribution Topological Indicator

Description

Measures the distribution of the activities over the levels. If AD is approximately equal zero, each level has same numbers of activities. Otherwise, if AD is equal one, the quantity of each level is not uniformly distributed.

Usage

sch_topoi_ad(sch)

Arguments

Value

A number between 0 and 1, inclusive.

See Also

sch_topoi_sp(), sch_topoi_la(), sch_topoi_tf(), sch_xy_gantt_matrix(), sch_add_relations(), sch_add_activities(), sch_relations(), sch_activities().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2L,3L,4L) %>%
  sch_add_activity(  2L, "a2" , 4L, 5L) %>%
  sch_add_activity(  3L, "a3" , 9L, 10L) %>%
  sch_add_activity(  4L, "a4" , 1L, 6L) %>%
  sch_add_activity(  5L, "a5" , 4L, 9L) %>%
  sch_add_activity(  6L, "a6" , 5L, 7L) %>%
  sch_add_activity(  7L, "a7" , 1L, 8L,11L) %>%
  sch_add_activity(  8L, "a8" , 7L, 12L) %>%
  sch_add_activity(  9L, "a9" , 8L, 12L) %>%
  sch_add_activity( 10L, "a10", 3L, 12L) %>%
  sch_add_activity( 11L, "a11", 3L, 12L) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_topoi_ad(sch) # 0.4

LA Length of Arcs Topological Indicator

Description

Measures the presence of long arcs based on the difference between the progressive level of the end activity and the start node of each relation. If LA is approximately equal zero, the progressive level between activities is as far as possible. Otherwise, if LA is equal one, the relation distance are one.

Usage

sch_topoi_la(sch)

Arguments

Value

A number between 0 and 1, inclusive.

See Also

sch_topoi_sp(), sch_add_relations(), sch_topoi_ad(), sch_relations(), sch_xy_gantt_matrix(), sch_activities(), sch_topoi_tf(), sch_add_activities().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2L,3L,4L) %>%
  sch_add_activity(  2L, "a2" , 4L, 5L) %>%
  sch_add_activity(  3L, "a3" , 9L, 10L) %>%
  sch_add_activity(  4L, "a4" , 1L, 6L) %>%
  sch_add_activity(  5L, "a5" , 4L, 9L) %>%
  sch_add_activity(  6L, "a6" , 5L, 7L) %>%
  sch_add_activity(  7L, "a7" , 1L, 8L,11L) %>%
  sch_add_activity(  8L, "a8" , 7L, 12L) %>%
  sch_add_activity(  9L, "a9" , 8L, 12L) %>%
  sch_add_activity( 10L, "a10", 3L, 12L) %>%
  sch_add_activity( 11L, "a11", 3L, 12L) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_topoi_la(sch) # 0.07692308

SP Serial or Parallel Topological Indicator

Description

Shows the closeness of a network to a serial or parallel graph. As the network becomes serial, the SP increase, until one; As the network becomes parallel, the SP decrease until zero.

Usage

sch_topoi_sp(sch)

Arguments

Value

A number between 0 and 1, inclusive.

See Also

sch_topoi_tf(), sch_activities(), sch_topoi_ad(), sch_xy_gantt_matrix(), sch_relations(), sch_topoi_la(), sch_add_activities(), sch_add_relations().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2L,3L,4L) %>%
  sch_add_activity(  2L, "a2" , 4L, 5L) %>%
  sch_add_activity(  3L, "a3" , 9L, 10L) %>%
  sch_add_activity(  4L, "a4" , 1L, 6L) %>%
  sch_add_activity(  5L, "a5" , 4L, 9L) %>%
  sch_add_activity(  6L, "a6" , 5L, 7L) %>%
  sch_add_activity(  7L, "a7" , 1L, 8L,11L) %>%
  sch_add_activity(  8L, "a8" , 7L, 12L) %>%
  sch_add_activity(  9L, "a9" , 8L, 12L) %>%
  sch_add_activity( 10L, "a10", 3L, 12L) %>%
  sch_add_activity( 11L, "a11", 3L, 12L) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_topoi_sp(sch) # 0.4545455

TF Topological Float Indicator

Description

Measures the topological float of each activity. If TF = 0, there is no float between activities. If TF = 1, there is float between activities and they be shift without affecting other activities.

Usage

sch_topoi_tf(sch)

Arguments

Value

A number between 0 and 1, inclusive.

See Also

sch_topoi_ad(), sch_add_activities(), sch_add_relations(), sch_xy_gantt_matrix(), sch_topoi_la(), sch_activities(), sch_relations(), sch_topoi_sp().

Examples

sch <- sch_new() %>%
  sch_title("Fictitious Project Example") %>%
  sch_reference("VANHOUCKE, Mario. Measuring time:
  improving project performance using earned value management.
  Gent: Springer, 2009, p. 18") %>%
  sch_add_activity(  1L, "a1" , 0L, 2L,3L,4L) %>%
  sch_add_activity(  2L, "a2" , 4L, 5L) %>%
  sch_add_activity(  3L, "a3" , 9L, 10L) %>%
  sch_add_activity(  4L, "a4" , 1L, 6L) %>%
  sch_add_activity(  5L, "a5" , 4L, 9L) %>%
  sch_add_activity(  6L, "a6" , 5L, 7L) %>%
  sch_add_activity(  7L, "a7" , 1L, 8L,11L) %>%
  sch_add_activity(  8L, "a8" , 7L, 12L) %>%
  sch_add_activity(  9L, "a9" , 8L, 12L) %>%
  sch_add_activity( 10L, "a10", 3L, 12L) %>%
  sch_add_activity( 11L, "a11", 3L, 12L) %>%
  sch_add_activity( 12L, "a12", 0L) %>%
  sch_plan()
sch_topoi_tf(sch) # 0.2333333

Validate Schedule

Description

Validate your schedule in terms of structure: cannot have duplicated activity id, all 'from' and 'to' relation id must exist in activities tibble and cannot have duplicated relation. This function is called by sch_plan(plan). If there is an error, the schedule cannot be calculated.

Usage

sch_validate(sch)

Arguments

Details

There are two forms to use this function:

• The first is automatic, when you call sch_plan(plan), the validation is called for you.

• The second, you can call sch_plan(plan) with your schedule, before plan, to see all error in your schedule.

In both way, the calculation schedule is stopped, because there is some error. To see the errors, you call the sch_plan(plan) function to find how to correct the errors.

The result of sch_plan(plan) is a lista with a lot of information about the error. The structure is:

• is_valid: A logical value that indicates if the schedule structure is valid.

  • TRUE: The schedule structure is NOT valid.

  • FALSE: The schedule structure is valid.

• is_error_with_activities: A logical value that indicates if there is any error with activities.

  • TRUE: There is any error with activities.

  • FALSE: There is NOT any error with activities.

• is_error_with_relations: A logical value that indicates if there is any error with relations.

  • TRUE: There is any error with relations.

  • FALSE: There is NOT any error with relations.

• is_error_with_dag: A logical value that indicates if there is any error with igraph object tha support the schedule.

  • TRUE: There is any error with igraph.

  • FALSE: There is NOT any error with igraph.

• activities_errors: A tibble that list the activities errors:

  • id: activity's id of the error

    • error: the error.

    • to_fix: suggestion of how to fix the error.

• relations_errors:

  • from: Predecessor activity id 'from' of the error.

    • to: Successor activity id from a relation.

    • error: the error.

    • to_fix: suggestion of how to fix the error.

• dag_errors: Error identified by igraph object.

• dag_igraph: The igraph object that is totally validated.

Attention: You must identify and correct all errors before call sch_plan(plan)!

Value

A list object with a description of all error.

See Also

sch_add_relation(), sch_relations(), sch_add_relations(), sch_add_activities(), sch_add_activity(), sch_activities(), sch_plan().

XY Gantt Matrix

Description

Transform a Gantt matrix into x, y coordinates and the weight one. Each point greater than zero in a Gantt matrix becomes a x, y coordinate. Atention: the schedule must be planned with the function sch_plan().

Usage

sch_xy_gantt_matrix(sch, gantt = NULL)

Arguments

Value

A matrix with three columns: x, y and weight.

See Also

sch_relations(), sch_activities(), sch_add_activities(), sch_add_relations(), sch_add_relation(), sch_plan(), sch_gantt_matrix().

Examples

sch <- sch_new() %>%
  sch_add_activities(
    id        = c( 1L,  2L,  3L,  4L),
    name      = c("A", "B", "C", "D"),
    duration  = c( 2L,  3L,  1L, 2L )
  ) %>%
  sch_add_relations(
    from = c(1L, 2L, 4L, 4L),
    to   = c(3L, 3L, 1L, 2L)
  ) %>%
  sch_plan()

sch_duration(sch)

xyw <- sch_xy_gantt_matrix(sch)
xyw
plot(xyw[, 1:2])