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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

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

verfasst von : Xiao-ying Yang, Xue Wang, Guo-hong Shi

Erschienen in: Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Verlag: Springer Berlin Heidelberg

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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.

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Vorheriges Kapitel Study on an Affected Operations Rescheduling Method Responding to Stochastic Disturbances
Nächstes Kapitel A Modified Simulated Annealing Algorithm for Optimal Capacity Allocation in Make-to-Order Job-Shops
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Metadaten
Titel
Integrated Optimization of Production Planning for Large and Complex Discrete Manufacturing System
verfasst von
Xiao-ying Yang
Xue Wang
Guo-hong Shi
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Print ISBN: 978-3-642-33011-7

Electronic ISBN: 978-3-642-33012-4

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-33012-4_14