Industrial Engineering Journal ›› 2023, Vol. 26 ›› Issue (6): 138-146.doi: 10.3969/j.issn.1007-7375.2023.06.015

• System Modeling & Optimization Algorithm • Previous Articles     Next Articles

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

YANG Xiaomei, BAI Yu   

  1. School of Economics and Management, Taiyuan University of Science and Technology, Taiyuan 030024, China
  • Received:2022-11-16 Published:2024-01-09

Abstract: 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.

Key words: variable demand, economic production quantity (EPQ), condition-based maintenance

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