Game theoretic optimization for high variety assembly system design

Game theory;Bi-level;Assembly system;High variety;High mix;Joint optimization;Genetic algorithm;Layout design;Process variety;Product variety;Modular design;Mass customization;Product family design

Liu, Yitao ; Jiao, Jianxin Mechanical Engineering Choi, Seung-Kyum Wang, Yan Fu, Katherine Hora, Manpreet S. ; Jiao, Jianxin

University:Georgia Institute of Technology

Department:Mechanical Engineering

关键词: Game theory;    Bi-level;    Assembly system;    High variety;    High mix;    Joint optimization;    Genetic algorithm;    Layout design;    Process variety;    Product variety;    Modular design;    Mass customization;    Product family design;   

Others  :  https://smartech.gatech.edu/bitstream/1853/56263/1/LIU-DISSERTATION-2016.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Continuous growing demands of customized products, increasing competition amongmanufacturing industries and increasing labor cost are demanding mass customization to berealized in all spectrum of industry. However, mass customization has largely not lived up to itspromise. The assembly system, being identified as the breaking point to enable masscustomization, also bring challenges when dealing with high variety products which is typicalsituation in mass customization. The topic of this dissertation is identified as game theoreticoptimization for high variety assembly system design. It suggests itself as a key enabler of masscustomization paradigm, which should allow companies to supply high variety product fortoday’s market that demands customization without too much tradeoff. The proposed work isgeared towards a game theory based solution to solve complex engineering system design problem, and using the high variety assembly system design as an example. The dissertationreveals the fundamental issues underlying high variety assembly system design and decisionmaking in complex engineered systems. In order to tackle the fundamental issues, a technicalframework of game theoretic optimization of high variety assembly system design is proposed. Accordingly, mathematical and computational models are developed within the framework tosupport 1) variety propagation from product to assembly process, 2) assembly system layoutdesign, 3) assembly process design and resource allocation, and 4) assembly process planning.