A GENERALIZED STOCHASTIC PETRI-NET MODEL FOR PERFORMANCE ANALYSIS AND ALLOCATION OPTIMIZATION OF A PARTICULAR REPAIR SYSTEM

Binfeng Li (), Xiaobin Li (), Weihong Guo () and Su Wu ()
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Binfeng Li: Industrial Engineering, Tsinghua University, Beijing, 100084, China
Xiaobin Li: Industrial Engineering, Tsinghua University, Beijing, 100084, China
Weihong Guo: Industrial Engineering, Tsinghua University, Beijing, 100084, China
Su Wu: Industrial Engineering, Tsinghua University, Beijing, 100084, China

Asia-Pacific Journal of Operational Research (APJOR), 2013, vol. 30, issue 01, 1-19

Abstract: This paper presents a generalized stochastic Petri-net model for performance analysis and allocation optimization of a repair system with interchangeable inventory. A repair system with interchangeable-inventory is an important type of repair-service, which features components that are assembled circularly with interchangeable-component inventory. Despite improved efficiency, major difficulties in model formulation and performance analysis arise due to a complex fork/join structure and the presence of interchangeable-component inventory. In this study, by applying a generalized stochastic Petri-net to model the fork/join structure and interchangeable inventory, a system with one overhaul center and one interchangeable-component repair shop was defined in the Petri-net by places, transitions and tokens. A performance analysis with single and multiple parameters and simulation experiments was performed according to the real field data of high-speed railway locomotives overhaul. With appropriate weights on each portion of the system resources, the optimal design scenario for the allocation of a specific repair system was achieved to control the overall expenditure.

Keywords: Repair system with interchangeable inventory; generalized stochastic Petri-net; fork/join queue; performance analysis; allocation optimization (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S021759591250042X

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