An economic manufacturing quantity model with rework process for deteriorating products under maintenance-quality policy. (2nd November 2022)

• Record Type: Journal Article
• Authors: Salmasnia, Ali; Hajihosseini, Zahra; Maleki, Mohammad Reza
• Is Part Of: International journal of modelling & simulation. Volume 42:Number 6(2022)
• Page Start: 946
• Page End: 965
• Publication Date: 2022-11-02
• Subjects: Production cycle length -- maintenance scheduling -- deteriorating items -- statistical process monitoring -- rework process -- time value of money; Mathematical models -- Periodicals; Simulation methods -- Periodicals; Mathematical models; Simulation methods; Periodicals; 003.3
• DOI: 10.1080/02286203.2021.2004341
• Languages: English
• ISSNs: 0228-6203

Abstract

ABSTRACT: This paper presents an integrated model of three interrelated topics including the statistical process monitoring, maintenance scheduling, and production cycle length for imperfect manufacturing systems. The novelty of this paper is to take five features into consideration, including: (1) The produced items deteriorate over time, hence, the inventory is depleted in two ways i.e. responding to demand and gradually deteriorating products; (2) The non-conforming products can be reworked to increase the cost-saving by eliminating the waste items; (3) A non-uniform sampling scheme is employed such that the hazard rate does not exceed its threshold value; (4) The economic-statistical design of a control chart is used to accelerate the detection of process faults as well as reduce the risk of false alarms; and (5) The time value of money is taken into account to obtain more precise financial flow estimations. Finally, four comparative studies along with a sensitivity analysis on the most important parameters are conducted. The results confirm that considering the product deterioration and time value of money improves the model adaptability in real-world applications. Besides, employing the variable sampling scheme and the rework operations reduces the production rate of non-conforming items. The results also show that the total cost in economic-statistical model is slightly higher than that of the economic one. However, the economic-statistical model performs severely better than the economic one in terms of both in-control and out-of-control average run length metrics.