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Product Development Process Modeling Using Advanced Simulation

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dc.creator Cho, Soo-Haeng
dc.creator Eppinger, Steven
dc.date 2003-12-10T15:39:45Z
dc.date 2003-12-10T15:39:45Z
dc.date 2001-09
dc.date.accessioned 2013-10-09T02:32:39Z
dc.date.available 2013-10-09T02:32:39Z
dc.date.issued 2013-10-09
dc.identifier DETC2001/DTM-21691
dc.identifier http://hdl.handle.net/1721.1/3807
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description 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.
dc.description Center for Innovation in Product Development
dc.format 102354 bytes
dc.format application/pdf
dc.language en_US
dc.subject process modeling
dc.subject advanced simulation
dc.subject resource-constrained project network
dc.subject design structure matrix
dc.subject information flows
dc.subject Latin Hypercube Sampling
dc.subject project management
dc.subject project simulation
dc.subject iteration
dc.subject DSM
dc.title Product Development Process Modeling Using Advanced Simulation
dc.type Working Paper


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