东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (9): 1315-1321.DOI: 10.12068/j.issn.1005-3026.2017.09.021

• 机械工程 • 上一篇    下一篇

考虑产品质量及返修的生产系统维护决策模型

周炳海, 刘玉旺   

  1. (同济大学 机械与能源工程学院, 上海201804)
  • 收稿日期:2016-04-13 修回日期:2016-04-13 出版日期:2017-09-15 发布日期:2017-09-08
  • 通讯作者: 周炳海
  • 作者简介:周炳海(1965-),男,浙江浦江人,同济大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71471135).

Production System Maintenance Decision Models Based on Product Quality and Rework Process

ZHOU Bing-hai, LIU Yu-wang   

  1. School of Mechanical and Energy Engineering, Tongji University, Shanghai 201804, China.
  • Received:2016-04-13 Revised:2016-04-13 Online:2017-09-15 Published:2017-09-08
  • Contact: ZHOU Bing-hai
  • About author:-
  • Supported by:
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摘要: 为了保证产出率的同时有效降低系统运作成本,提出了考虑产品质量及返修的生产系统预防性维护决策模型.首先,通过分析生产系统的结构特点,基于返修点的位置,将生产系统分为两部分.在此条件下,以系统在给定运行时间内的总收益最大化为目标,针对返修点前、后的生产线,分别基于分解方法和状态转移思想构建了相应的产出率评价及预防性维护模型.最后,利用混合粒子群分布估计算法对模型进行实例分析,结果表明所构建的模型及算法是有效且实用的.

关键词: 生产系统, 质量, 返修, 产出率, 预防性维护

Abstract: To effectively reduce the operation cost and ensure the throughput of production systems simultaneously, a preventive maintenance decision model was proposed, taking into consideration the product quality and rework process. Firstly, based on the location of the rework point, the whole production line was divided into two parts. Under this condition, the throughput evaluation and preventive maintenance models were established for the purpose of maximizing the overall revenue of the systems at the pre-and post-rework points, by using the decomposition method and the state transition rule respectively. Finally, an example analysis of the model was given by using the estimation algorithm of hybrid particle swarm distribution and the results showed that the proposed model and algorithm are valid and workable.

Key words: production system, quality, rework, throughput, preventive maintenance

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