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Please use this identifier to cite or link to this item: http://hdl.handle.net/1721.1/3807

Title: Product Development Process Modeling Using Advanced Simulation
Authors: Cho, Soo-Haeng
Eppinger, Steven
Keywords: process modeling
advanced simulation
resource-constrained project network
design structure matrix
information flows
Latin Hypercube Sampling
project management
project simulation
iteration
DSM
Issue Date: Sep-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.
URI: http://hdl.handle.net/1721.1/3807
Appears in Collections:Information Flow Modeling (IFM)

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