Manufacturing/remanufacturing production optimization decision considering update cycle disruptions

doi:10.13196/j.cims.2018.11.025

›› 2018, Vol. 24 ›› Issue (第11): 2909-2920.DOI: 10.13196/j.cims.2018.11.025

Online:2018-11-30 Published:2018-11-30
Supported by:
Project supported by the National Natural Science Fundation,China(No.51705386),the China Scholarship Council Foundation,China(No.201606955091),and the Fundamental Research Funds for the Central Universities,China(No.2017II27GX,2013-IVA-018).

考虑换代周期影响的制造/再制造生产优化决策

钟精诚^1,2,郭钧^1,2+,杜百岗^1,2,郭顺生^1,2

1.武汉理工大学机电工程学院
2.武汉理工大学湖北省数字制造重点实验室

基金资助:
国家自然科学基金资助项目(51705386);中国国家留学基金资助项目(201606955091);中央高校基本科研业务费资助项目(2017II27GX,2013-IVA-018)。

Abstract

Abstract: The rapidly upgrade of product and dynamic association among decision variables have deepened the time-varying perturbation in manufacturing/remanufacturing hybrid production system.Aiming at this problem,a hybrid production decision model was established for manufacturing/remanufacturing process of short life-cycle products by considering uncertain update-cycle.Moreover,an improved algorithm named Chaos-based hybrid Algorithm of Artificial Fish and Genetics (CAAFG) was proposed to solve the model.The hybrid of chaos theory and global search of genetic algorithm in CAAFG algorithm had effectively enhanced the speed of convergence and solution precision.An example of hybrid production planning in an electronics manufacturing group was addressed to validate the efficiency and rationality of the proposed approach.

Key words: remanufacturing, update-cycle, production decision, chaotic mapping, artificial fish-swarm algorithm

摘要： 产品更新换代速度的加快以及生产系统中各决策变量之间的动态联系,加深了制造/再制造混合生产系统的时变性扰动。针对这一问题,建立了不确定换代周期下的短生命周期产品的制造/再制造混合生产决策模型,并设计了一种基于混沌映射的遗传人工鱼群混合算法对模型进行求解。该方法引入遗传算法的全局搜索和混沌理论对普通鱼群算法的局限性进行针对性的改进,保证了算法前期的快速收敛和后期搜索结果的精度。以某电子产品制造集团的混合生产计划为例,验证了该方法的合理性和有效性。

关键词: 再制造, 换代周期, 生产决策, 混沌映射, 人工鱼群算法

CLC Number:

TP391
F224

钟精诚,郭钧,杜百岗,郭顺生. 考虑换代周期影响的制造/再制造生产优化决策[J]. 计算机集成制造系统, 2018, 24(第11): 2909-2920.

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