A Hybrid Heuristic for Multi-shop Car Sequencing Problem with a Buffer

Yong-yi Wu () and Hai-ping Zhu
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Yong-yi Wu: Huazhong University of Science and Technology
Hai-ping Zhu: Huazhong University of Science and Technology

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 667-674 from Springer

Abstract: Abstract Considering the paint shop and assembly shop of car manufacturing as a whole, a two-phase method is proposed to solve the multi-objective car sequencing problem which consists of both shops with a buffer. Firstly, we minimize the objective in the paint shop and pre-optimize the objective of the assembly shop based on a multi-objective evolutionary algorithm, local search and crossover operator based greedy approach are designed for either objective. Secondly, the buffer adjusts the car sequence again by mixed heuristic. Simulation experiments are performed and the results show the effectiveness of the method.

Keywords: Buffer; Car sequencing problem; Multi-object evolutionary algorithm; Pareto (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-642-40060-5_64

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