基于可变需求的EPQ与视情维修联合优化  

Joint Optimization of EPQ and Condition-based Maintenance Based on Variable Demand

作　　者：杨晓梅[1] 白钰 YANG Xiaomei;BAI Yu(School of Economics and Management,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学经济与管理学院,山西太原030024

出　　处：《工业工程》2023年第6期138-146,共9页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(72071183);山西省自然科学基金资助项目(201801D121170,201801D121166);山西省重点研发计划资助项目(201703D111011);山西省高等学校科技创新资助项目(2021L333);太原科技大学校博士启动基金资助项目(20202027)。

摘　　要：针对实际生产过程中的不确定性会导致产品需求发生变化的问题,设计了基于可变需求的经济生产批量和视情维修的联合策略。根据该策略,运用更新报酬理论,构建联合决策模型。该模型以预防性维修阈值和设备状态检测间隔期为决策变量,以单位时间内平均利润最大化为决策目标。利用遗传算法对该模型进行求解,得到最佳决策方案。通过算例分析和敏感性分析,验证了模型的可行性和有效性。结果表明,该策略能够降低生产和维修成本,可为企业制定合理的生产和维修的联合决策方案提供借鉴。To address the problem that the uncertainty in the actual production process may lead to a change of product demand,a joint strategy of economic production batches and condition-based maintenance is designed based on variable demand.According to this strategy,a joint decision-making model is established by using the remuneration theory.The model takes the threshold of preventive maintenance and the detection interval of equipment conditions as the decision variables,and takes the maximization of the average profit per unit time as the objective.The model is solved by genetic algorithm to obtain the optimal decision scheme.Finally,the feasibility and effectiveness of the model are verified by case analysis and sensitivity analysis.Results show that the strategy can not only reduce the production and maintenance costs,but also provide reference for enterprises to make reasonable joint decisions for production and maintenance.

关 键 词：可变需求 经济生产批量 视情维修 

分 类 号：TP307[自动化与计算机技术—计算机系统结构] F273[自动化与计算机技术—计算机科学与技术]