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Resource analysis 2

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Title: Resource analysis 2


1
Resource analysis 2
  • Project management
  • (seminar)

2
Optimum seeking procedures
  • Constraints
  • Resource-limited projects
  • Time-limited projects
  • Resource-limited AND time-limited projects
    (question of priority)
  • Methods
  • Linear programming
  • Levelling
  • Allocation
  • Smoothing

3
Linear programming
  • Successful only for small networks (up to about
    200 activities)
  • Need for precise data

4
Levelling
  • Need for a previously produced starting schedule.
  • Attempts to level out peaks and valleys in
    resource requirements by rescheduling some
    activities.
  • Difficulty of interactions between activities.

5
Allocation
  • Allocation resources
  • Splitting an activity stopping an activity,
    which is currently in progress, by the removal of
    its resources for use on an activity of higher
    priority.
  • Two procedures for allocation
  • Serial if only a few activities are splitable
  • Parallel if many activities are splitable more
    complicated method that needs more time and data

6
Allocation when resources are limited
  • Serial procedure
  • All activities in the project are ranked using
    constant priority rule. The most frequently used
    rule ascending order of the LSTs with a
    tiebreaker of the ascending order of total
    floats.
  • Activities are scheduled in the above order at
    the earliest possible point in time consistent
    with the availability of resources and the
    precedence requirements.
  • Step-by-step process
  • Draw the network diagram for the logical
    connections
  • Compute the activity times and total floats
  • Plot a Gantt or time-scaled network in tandem
    with a resource-histogram

7
Network with single resource data
  • Resource limit 5

8
Network with multiple resource data
  • Resource limits 5A, 5B

9
Allocation when resources are limited
  • Parallel procedureActivities are considered
    sequentially (sub-lists). Unscheduled activities
    are retained and ranked in the next period with
    new activities.

10
The time-limited case
  • Balancing the S-curve with milestones
  • Forcing early activities to start sooner

11
Smoothing
  • Aim is to produce a feasible schedule within the
    time constraints provide as smooth a resource
    requirement profile as possible.
  • Informational needs of smoothing
  • Start time and timeframe
  • Priority order of the resources required
  • Prioritising activities and selecting them in
    order for scheduling (critical activities have
    supreme priority).
  • Finding the best place for the activity
    (placing).
  • Repeat the process with the next activity.

12
Prioritising activities
  • Considerables
  • Resource type(s) and importance
  • Total work content (resource units per time
    multiplied with the duration for all resources
    used on the activity
  • Available float
  • Formula
  • (Total work content) / (Float remaining)
  • In descending order (greatest first).

13
Placing
  • The best position is the one that gives the
    lowest usage increase in the time span of the
    activity.
  • Two ways of finding this position
  • Visual
  • Sum of squares
  • Calculate the sum of squared resource needs of
    each period within the questionable time frame
    (between the ES and LF time of the given
    activity) for every possible positioning
  • Choose the position with the lowest value

14
Reading
  • Lockyer Gordon (2005) Chapter 18

15
Thanks for your attention
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