上海交通大学学报

上海交通大学学报（自然版） ›› 2019, Vol. 53 ›› Issue (3): 276-284.doi: 10.16183/j.cnki.jsjtu.2019.03.004

• 学报（中文） • 上一篇    下一篇

面向串并联生产系统机会维护的产能平衡导向租赁利润优化策略

孙博文，郭闻雨，夏唐斌，潘尔顺，奚立峰   

  1. 上海交通大学 机械与动力工程学院， 上海 200240
  • 出版日期:2019-03-28 发布日期:2019-03-28
  • 通讯作者: 夏唐斌，副教授，博士生导师，电话（Tel.）：021-34208589；E-mail：xtbxtb@sjtu.edu.cn.
  • 作者简介:孙博文（1995-），男，黑龙江省哈尔滨市人，硕士生，主要研究方向为服务型制造与维护策略.
  • 基金资助:
    国家自然科学基金资助项目（51875359，51535007）；临港地区智能制造专项（ZN2017020102）；国家市场监督管理总局质量基础设施效能研究重点实验室2018年开放课题 （KF20180302）

Capacity Balancing-Oriented Leasing Profit Optimization of Opportunistic Maintenance for Leased Series-Parallel Production System

SUN Bowen,GUO Wenyu,XIA Tangbin,PAN Ershun,XI Lifeng   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2019-03-28 Published:2019-03-28

PDF (PC)

792

被引次数

5

摘要： 针对服务型制造模式和维护外包服务，面向租赁生产系统的串并联复杂结构和多工序产能需求，提出以产能平衡为前提的租赁利润最大化机会维护策略.以租赁生产系统的串并联结构为研究重点，在维护决策建模中考虑整个系统的产能平衡；构建多类型设备健康演化趋势函数，规划成本率最小化的贯序预知维护计划；在工序层和系统层，以单设备预定的维护时点为组合维护契机，优化机会维护方案；建立以产能平衡为导向的租赁利润优化策略，改进租赁利润结余算法，以实时生成机会维护方案，在保证产能平衡的同时实现租赁利润最大化.通过对比租赁合同期内的全局性维护方案，验证了该策略在服务外包决策中具有显著的经济优势.

关键词: 机会维护, 预知维护, 产能平衡, 串并联系统, 租赁利润优化

Abstract: Aimed at service-oriented manufacturing model and outsourcing paradigm, an opportunistic maintenance strategy based on capacity balancing is proposed to meet the demand of complex series-parallel structure and multi-process, eventually maximizing the leasing profits. The series and parallel structures are taken as the research emphasis. And the capacity balancing of the whole system is also considered. Sequential maintenance scheduling for each machine with individual health evolution aims to minimize the maintenance cost rate. At the process layer and the system layer, these maintenance time points are taken as combined maintenance opportuuity. A capacity balancing-oriented leasing profit optimization (CB-LPO) policy is also developed by considering the capacity balancing to dynamically optimize maintenance decisions. In this study, by comparing with the global maintenance scheme during the lease contract period, it is verified that the proposed strategy has significant economic advantages in service outsourcing decision-making.

Key words: opportunistic maintenance, predictive maintenance, capacity balancing, series-parallel system, leasing profit optimization

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