Integrated Optimization of Production Planning for Large and Complex Discrete Manufacturing System

Xiao-ying Yang (), Xue Wang and Guo-hong Shi
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Xiao-ying Yang: Jiangsu University
Xue Wang: Henan University of Science and Technology
Guo-hong Shi: Jiangsu University

Chapter Chapter 14 in Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 2013, pp 127-137 from Springer

Abstract: Abstract The integrated optimization problem of multi-level production planning for large and complex discrete manufacturing system was taken as research object in this paper. Firstly, the decision-making process of multi-level distributed production planning in large and complex system was proposed based on system survey. Secondly, the integrated optimization theoretical model of multilevel production planning was formulated by weighted combinatorial optimization method, considering customer satisfaction (quality and delivery), lean manufacturing (bottleneck utilization and cost) as the optimization objective. Finally, augmented lagrangian relaxation method and Heuristic algorithm were adopted and a rule-based hybrid algorithm was designed in order to efficiently solve nonlinear inequality constraints combinatorial optimization problems. This study provided a theoretical approach to solve the scientific problem of production planning decision for the large and complex discrete manufacturing system.

Keywords: Augmented lagrangian relaxation method; Combinatorial optimization; Hybrid heuristic algorithm; Large and complex discrete manufacturing systems; Multi-level production planning (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33012-4_14

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DOI: 10.1007/978-3-642-33012-4_14

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