Joint effects of stochastic machine failure, backorder of permissible shortage, rework, and scrap on stock replenishing decision

• Main Authors: Yuan-Shyi Peter Chiu, Yu-Ru Chen, Victoria Chiu, Singa Wang Chiu
• Format: Article
• Language: English
• Published: Growing Science 2018-10-01
• Series: International Journal of Industrial Engineering Computations
• Subjects: Operations Management; Fabrication cycle length; Stochastic failure; Backlog; Rework; Scrap; Acceptable service level
• Online Access: http://www.growingscience.com/ijiec/Vol10/IJIEC_2018_14.pdf

With the intention of addressing product quality, machine reliability, and acceptable service level issues in real fabrication systems, this paper studies joint effects of stochastic breakdown, backorder of permissible shortage, rework, and scrap on the optimal stock replenishing policy. A decision model is developed to solve the problem, which consists of mathematical modeling, formulations, and optimization method in order to help analyze the problem, derive the system cost function, and find the optimal replenishment cycle length decision. Applicability of the research results are demonstrated by a numerical example. The proposed decision model enables production managers to not only determine the optimal stock replenishing policy, but also reveal individual impact and/or joint effects of stochastic breakdown, defective rate, backorder of allowable shortage, rework, and scrap on the replenishing decision. With such an in-depth study, diverse system characteristics become available for managerial decision-making.