Optimal production lot-sizing and condition-based maintenance policy considering imperfect manufacturing process and inspection errors. (March 2023)

• Record Type: Journal Article
• Authors: Zhang, Nan; Tian, Sen; Xu, Jiatao; Deng, Yingjun; Cai, Kaiquan
• Is Part Of: Computers & industrial engineering. Volume 177(2023)
• Publication Date: 2023-03
• Subjects: Economic manufacturing quantity -- Condition-based maintenance -- Imperfect manufacturing process -- Inspection error -- Semi-Markov decision process; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2022.108929
• Languages: English
• ISSNs: 0360-8352

Abstract

Abstract: In this paper, we propose an integrated Economic manufacturing quantity (EMQ) model combining both the concepts of condition-based maintenance (CBM) and imperfect manufacturing process. The manufacturing process is modelled by two indicators. One possesses binary state, indicating whether the manufacturing process is in-control or not. The other one is modelled by a homogeneous Gamma process, representing the degradation of the manufacturing equipment. The system is inspected at the end of each production run, upon which, the deterioration level can be perfectly observed, while two types of errors may occur in revealing the state of the manufacturing process. Defective products can be fabricated when the manufacturing state degrades. An integrated production and CBM policy is proposed. The objective is to develop the optimal production lot-sizing and preventive maintenance threshold in order to minimize the expected cost rate in the long-time horizon. We model the problem in the framework of a semi-Markov decision process. The successive-approximations method is applied to solve the problem numerically. The applicability of the proposed model and some sensitivity analysis are presented in a numerical illustration. It can provide theoretical reference to the decision-maker in production and maintenance planning. Highlights: We investigate the joint design of production and CBM control strategies. We utilize two indicators to describe the manufacturing process. The quality loss depends on both the equipment degradation and the state of the manufacturing process. The impact of imperfect inspections with two types of errors are taken into consideration in the joint design problem.