Joint optimal production planning and proactive maintenance policy for a system subject to degradation

• Published in: Journal of quality in maintenance engineering Vol. 25; no. 2; pp. 236 - 252
• Main Authors: Wang, Lin, Lu, Zhiqiang, Han, Xiaole
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 07.05.2019; Emerald Group Publishing Limited
• Subjects: Batch production; Costs; Decision making; Decisions; Degradation; Failure; Heuristic methods; Horizon; Inspection; Inventory control; Iterative algorithms; Iterative methods; Manufacturing; Markov analysis; Preventive maintenance; Production capacity; Production planning; Prognosis; Sensitivity analysis; Prognosis; Production planning; Condition-based maintenance; Heuristic
• ISSN: 1355-2511; 1758-7832
• DOI: 10.1108/JQME-11-2016-0068

Purpose This paper integrates condition-based maintenance (CBM) with production planning in a single-stage production system that deteriorates with usage during a specified finite planning horizon. The purpose of this paper is to develop an integrated production and maintenance model to minimize the expected total cost over the horizon. Design/methodology/approach A joint production planning and CBM model is proposed. In the model, a set of products must be produced in lots. The system degradation is a stationary gamma process and the degradation level is detected by inspection between production lots. Maintenance actions including imperfect preventive maintenance (PM) should be taken when the failure risk exceeds the maintenance threshold. A fix-iterative heuristic algorithm is proposed to address the joint model. Findings The proactive policy expressed as a prognosis maintenance threshold is introduced to integrate CBM with batch production perfectly. Experiments are carried out to conduct sensitivity analysis, which provides some insights to facilitate industrial manufacturing. The superiority of the proposed joint model compared with a separate decision method is demonstrated. The results show an advantage in cost saving. Originality/value Few studies have been made to integrate production planning and CBM decisions, especially for a multi-product system. Their maintenance decisions are usually based on a periodic review policy, which is not appropriate for batch production system. A prognosis maintenance threshold based on system condition and production quantity is suitable for the integrated decisions. Moreover, the imperfect PM is taken into consideration in this paper. A fix-iterative algorithm is developed to solve the joint model. This work forms a proactive maintenance for batch production.