Hybrid simulation and multi-attribute decision making method in solving the combinatorial dispatching problem–a case study on multilayer ceramic capacitor manufacturing

碩士 === 國立成功大學 === 製造工程研究所碩博士班 === 93 ===  The flow shop with multiple processors (FSMP) problem involves the sequencing of jobs in a flow shop where, at any stage, there may exist more than one identical machine. This type of environment is relatively common and has a variety of applications includi...

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Bibliographic Details
Main Authors: Yao-Ching Tseng, 曾耀慶
Other Authors: Taho Yang
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/91009181981475191688
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Summary:碩士 === 國立成功大學 === 製造工程研究所碩博士班 === 93 ===  The flow shop with multiple processors (FSMP) problem involves the sequencing of jobs in a flow shop where, at any stage, there may exist more than one identical machine. This type of environment is relatively common and has a variety of applications including semiconductor, electronics manufacturing, and petrochemical production.  The behavior of real FSMP is very complicated, so the dispatching problem is unique and difficult. The simulation is capable of modeling a non-linear and stochastic problem, but it does not provide a method for optimization. The present paper proposes to solve FSMP dispatching problem by combining simulation and multi-attribute decision making method. A practical case study from a multilayer ceramic capacitor (MLCC) plant illustrates the efficiency and effectiveness of the proposed method.  The research uses simulation tool to model the MLCC manufacturing process. Through the simulation model, the various combined dispatching rules can be experimented. This paper considers four performance measure including average tardiness, cycle time, makespan and service level. In order to improve the performances of the whole production system, the research applies multi-attribute decision making method to decide the suitable dispatching rules for FSMP workstations. Empirical results show that the performances of the proposed methodology are better than the conventional dispatching rules.