DETERMINATION OF BUFFER STOCK BETWEEN PREVENTIVE MAINTENANCE ACTIVITIES FOR REPAIRABLE PRODUCTION SYSTEMS

Authors

  • Jyh-Wen Ho Department of Industrial Management and Enterprise Information, Aletheia University
  • Jian-Yi Yang Department of Industrial and Information Management, National Cheng Kung University
  • Yeu-Shiang Huang Department of Industrial and Information Management,National Cheng Kung University

DOI:

https://doi.org/10.23055/ijietap.2021.28.6.4323

Keywords:

Preventive Maintenance, Buffer Size, Economic Manufacturing Quantity

Abstract

This study considers the economic manufacturing quantity model of a repairable system with two production processes in which the manufacturer can evaluate the setup problems between the two during the planning period due to the effects of preventive maintenance. We estimate the expected maintenance cost of component failures with consideration of preventive maintenance intervals for the upstream production process and demand conditions for the downstream assembly system to determine the optimal buffer stock with the minimum expected total cost of the production system. An illustrative example verifies that the inventory holding cost greatly affects the optimal buffer size, followed by the downstream production rate and the reset time. Furthermore, the optimal quantity of the buffer stock and preventive maintenance intervals determined by the proposed approach can assist managers in devising adequate strategies when planning preventive maintenance during a steady production process.

Author Biographies

Jyh-Wen Ho, Department of Industrial Management and Enterprise Information, Aletheia University

Jyh-Wen Ho is currently a professor in the Department of Industrial Management and Enterprise Information at Aletheia University, Taipei, Taiwan. He received his Ph.D. degree in the Department of Industrial and Information Management at National Cheng Kung University, Taiwan. His research interests include decision analysis, Bayesian statistical methods, and reliability engineering. Related papers have appeared in such journals as IEEE Transactions on Reliability, European Journal of Operational Research, Reliability Engineering & System Safety, IEEE Transactions on Engineering Management, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Research, Computers & Industrial Engineering, Software Quality Journal, Software Testing, Verification and Reliability and others.

Jian-Yi Yang, Department of Industrial and Information Management, National Cheng Kung University

Jian-Yi Yang is a graduate student in the Department of Industrial and Information Management at National Cheng Kung University, Taiwan.

Yeu-Shiang Huang, Department of Industrial and Information Management,National Cheng Kung University

Yeu-Shiang Huang is currently a professor in the Department of Industrial and Information Management at National Cheng Kung University, Taiwan. He earned both his M.S. and Ph.D. degrees in Industrial Engineering from the University of Wisconsin-Madison, U.S.A. His research interests include operations management, supply chain management, reliability engineering, and decision analysis. Related papers have appeared in such professional journals as IIE Transactions, Naval Research Logistics, IEEE Transactions on Engineering Management, European Journal of Operational Research, Reliability Engineering and System Safety, Software Testing, Verification and Reliability, IEEE Transactions on Reliability, International Journal of Production Research, Computers and Operations Research, Computers and Industrial Engineering, Communications in Statistics, and others.

 

Published

2022-01-19

How to Cite

Ho, J.-W., Yang, J.-Y., & Huang, Y.-S. (2022). DETERMINATION OF BUFFER STOCK BETWEEN PREVENTIVE MAINTENANCE ACTIVITIES FOR REPAIRABLE PRODUCTION SYSTEMS. International Journal of Industrial Engineering: Theory, Applications and Practice, 28(6). https://doi.org/10.23055/ijietap.2021.28.6.4323

Issue

Section

Production Planning and Control