Introduction to Project Management |
The CPM Procedure
PROC CPM does the project scheduling and forms the core of the
project management functionality in
SAS/OR software.
It uses activity precedence, time, and resource constraints, and
holiday and calendar information to determine a feasible schedule for
the project. The precedence constraints between the activities are
described using a network representation, either in Activity-On-Arc (AOA)
or Activity-On-Node (AON) notation, and input to PROC CPM in an Activity
data set. The two different representations are described
in Chapter 2, "The CPM Procedure."
The Activity data set can also specify time
constraints on the activities and resource requirement information.
The Activity data set is required.
Resource availability information can be specified using
another data set,
referred to here as the Resource data set. Holiday, workday, and other
calendar information is contained in the Holiday, Workday, and Calendar
data sets (each of these data sets is described in detail in
Chapter 2, "The CPM Procedure"). The schedule calculated by PROC CPM using all the
input information and any special scheduling options is saved in an
output data set, referred to as the Schedule data set.
For projects that use resources, individual resource schedules for each
activity can be saved in a Resource Schedule output data set.
Resource usage information can also be saved in another output data
set, referred to as the Usage data set. Figure 1.1 illustrates all the
input and output data sets that are possible with PROC CPM. In the
same figure, _ORCPM_
is the SAS macro variable defined by PROC CPM.
Figure 1.1: Input and Output Data Sets in PROC CPM
The three output data
sets produced by PROC CPM contain all the information about the schedule
and the resource usage; these data sets can be used as input to either
PROC GANTT or PROC NETDRAW or to any of the several reporting, charting,
or plotting procedures in the SAS System.
The Schedule data set can also contain
additional project information such as project id, department and phase
information, accounting categories, and so on,
in the form of ID variables passed to
it from the Activity input data set via the ID statement. These
variables can be used to produce
customized reports by reordering, subsetting, summarizing, or
condensing the information in the Schedule data set in various
ways.
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.