Modeling, scheduling and simulation of product development process by extended stochastic high-level evaluation Petri nets

This paper presents a methodology for modeling and simulating product development process-based on the extended stochastic high-level evaluation Petri nets (ESHLEP-N). A product development process is composed of many design activities and the ESHLEP-N model can describe some special features of des...

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Veröffentlicht in:Robotics and computer-integrated manufacturing 2003-08, Vol.19 (4), p.329-342
Hauptverfasser: Yan, Hong-Sen, Wang, Zheng, Jiao, Xiao-Cheng
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container_title Robotics and computer-integrated manufacturing
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creator Yan, Hong-Sen
Wang, Zheng
Jiao, Xiao-Cheng
description This paper presents a methodology for modeling and simulating product development process-based on the extended stochastic high-level evaluation Petri nets (ESHLEP-N). A product development process is composed of many design activities and the ESHLEP-N model can describe some special features of design activity in detail, such as randomness of its duration, uncertainty of its interruption and complexity of design iteration. Therefore, the ESHLEP-N model is employed to simulate a product development process. The initial product development plan obtained by a mathematical method beforehand is taken as the input of the simulation. Then the simulation procedure is proposed, along with four types of rules, i.e. activity-sequencing rules, resource-assigning rules, state-changing rules and the simulation-terminating rule, for scheduling the design activities. An example of the development process of an automobile drive system in concurrent engineering environment is presented to illustrate the method of the ESHLEP-N-based modeling, simulation procedure and scheduling rules. The simulation results show that the simulation procedure and the scheduling rules are effective.
doi_str_mv 10.1016/S0736-5845(03)00027-9
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Petri nets
Product development process
Scheduling
Simulation
title Modeling, scheduling and simulation of product development process by extended stochastic high-level evaluation Petri nets
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