考虑役龄的预防性维修计划与缓冲区库存联合优化决策

doi:10.3969/j.issn.1007-7375.2022.04.011

工业工程 ›› 2022, Vol. 25 ›› Issue (4): 91-99.doi: 10.3969/j.issn.1007-7375.2022.04.011

考虑役龄的预防性维修计划与缓冲区库存联合优化决策

沈斌¹, 李芳¹, 吕文元²

1. 上海理工大学管理学院，上海 200093;
2. 哈尔滨工业大学管理学院，黑龙江哈尔滨 150001

收稿日期:2020-10-04 发布日期:2022-08-30
作者简介:沈斌(1996—)，男，江苏省人，硕士研究生，主要研究方向为设备维修管理
基金资助:
国家自然科学基金资助项目(71471116)；上海市浦江人才计划资助项目(14PJC077)

Joint Optimization Decision of Preventive Maintenance Plan and Buffer Inventory Considering Service Age

SHEN Bin¹, LI Fang¹, LYU Wenyuan²

1. School of Management, Shanghai University of Technology, Shanghai 200093, China;
2. School of Management, Harbin Institute of Technology, Harbin 150001, China

Received:2020-10-04 Published:2022-08-30

摘要/Abstract

摘要： 针对生产系统中的预防性维修问题，提出考虑缓冲区库存和役龄回退的预防性维修策略，分析役龄对故障率的影响，推算出设备的故障次数，建立设备预防维修计划与缓冲区库存联合优化决策模型。该模型以预防性维修周期T和缓冲区库存量S为决策变量，以周期内单位时间总费用CT(T,S )为决策目标，并运用离散迭代算法进行算例仿真求解，获得最佳的缓冲区库存量及最优预防性维修周期，使单位时间总费用达到最低。算例对比分析证明了策略模型能有效节省生产成本。最后通过灵敏度分析得出相关参数对于策略模型的影响，验证模型的有效性，为维修计划提供理论指导。

关键词: 预防维修, 缓冲区库存, 役龄回退, 故障率

Abstract: Aiming at the problem of preventive maintenance in production system, the preventive maintenance strategy is put forward considering buffer inventory and service age regression. The influence of service age on failure rate is analyzed and the number of equipment failures calculated. A joint optimization decision-making model of equipment preventive maintenance plan and buffer inventory is established. This model takes preventive maintenance cycle T and buffer stock S as decision variables, and takes the total cost per unit time in the cycle CT(T, S) as the decision goal. The discrete iteration algorithm is used to solve the example simulation, to obtain the optimal inventory and preventive maintenance cycle, so as to minimize the total cost per unit time. The comparison of the examples shows that the strategy model can effectively save the production cost. Finally, through a sensitivity analysis, the influence of relevant parameters on the strategy model is obtained, which verifies the validity of the model and provides theoretical guidance for maintenance planning.

Key words: preventive maintenance, buffer stock, service age regression, failure rate

中图分类号:

TP391

沈斌, 李芳, 吕文元. 考虑役龄的预防性维修计划与缓冲区库存联合优化决策[J]. 工业工程, 2022, 25(4): 91-99.

SHEN Bin, LI Fang, LYU Wenyuan. Joint Optimization Decision of Preventive Maintenance Plan and Buffer Inventory Considering Service Age[J]. Industrial Engineering Journal, 2022, 25(4): 91-99.

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考虑役龄的预防性维修计划与缓冲区库存联合优化决策

Joint Optimization Decision of Preventive Maintenance Plan and Buffer Inventory Considering Service Age

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