Product Development Process Modeling Using Advanced Simulation
Name
IFM_PDProcessModeling.pdf
Size
99.96 KB
Format
Adobe PDF
Checksum (MD5)
a35bd91d90d60476a8bd1b118f6d4d59
Author(s)
Cho, Soo-Haeng
Eppinger, Steven
Date Issued
September 2001
Abstract
This paper presents a product development process
modeling and analysis technique using advanced simulation.The model computes the probability distribution of lead time in a resource-constrained project network where iterations take
place among sequential, parallel and overlapped tasks. The model uses the design structure matrix representation to capture the information flows between tasks. In each simulation run,
the expected durations of tasks are initially sampled using the Latin Hypercube Sampling method and decrease over time as the model simulates the progress of dynamic stochastic processes. It is assumed that the rework of a task occurs for the
following reasons: (1) new information is obtained from overlapped tasks after starting to work with preliminary inputs,
(2) inputs change when other tasks are reworked, and (3) outputs fail to meet established criteria. The model can be used for better project planning and control by identifying leverage points for process improvements and evaluating alternative planning and execution strategies. An industrial example is used to illustrate the utility of the model.
Subjects
process modeling
advanced simulation
resource-constrained project network
design structure matrix
information flows
Latin Hypercube Sampling
project management
project simulation
iteration
DSM
Persistent DSpace Link
