217
Views
0
CrossRef citations to date
0
Altmetric
Production & Manufacturing

Demand fulfillment and availability analysis of a multi-state production system considering spare part inventory policy

ORCID Icon, , &
Article: 2329475 | Received 26 Mar 2023, Accepted 07 Mar 2024, Published online: 01 Apr 2024

References

  • Alrabghi, A., & Tiwari, A. (2016). A novel approach for modelling complex maintenance systems using discrete event simulation. Reliability Engineering & System Safety, 154, 160–170. https://doi.org/10.1016/j.ress.2016.06.003
  • Alrabghi, A., Tiwari, A., & Savill, M. (2017). Simulation-based optimisation of maintenance systems: Industrial case studies. Journal of Manufacturing Systems, 44, 191–206. https://doi.org/10.1016/j.jmsy.2017.05.008
  • Altiok, T., & Melamed, B. (2007). Simulation modeling and analysis with arena. Elsevier.
  • Banks, J., Carson, J., Nelson, B., & Nicol, D. (1995). Discrete-event simulation (3rd ed.). Prentice-Hall.
  • Barik, R., Mahatha, B. K., & Mishra, C. R. (2022). Spare parts inventory management by using EOQ model. Journal of Emerging Technologies and Innovative Research, 9, d249–d258.www.jetir.orgd249
  • Barringer, H. P. (1997). Availability, reliability, maintainability, and capability. Triplex Chapter of Vibration Institute.
  • Bülbül, P., Bayındır, Z. P., & Bakal, İ S. (2019). Exact and heuristic approaches for joint maintenance and spare parts planning. Computers & Industrial Engineering, 129, 239–250. https://doi.org/10.1016/j.cie.2019.01.032
  • Chang, P. C., Lin, Y. K., & Chen, J. C. (2017). System reliability for a multi-state manufacturing network with joint buffer stations. Journal of Manufacturing Systems, 42, 170–178. https://doi.org/10.1016/j.jmsy.2016.12.009
  • Chang, P. C., Lin, Y. K., & Chiang, Y. M. (2019). System reliability estimation and sensitivity analysis for multi-state manufacturing network with joint buffers––A simulation approach. Reliability Engineering & System Safety, 188, 103–109. https://doi.org/10.1016/j.ress.2019.03.024
  • Chen, Z., Chen, Z., Zhou, D., Shao, C., & Pan, E. (2022). Optimal replacement policy for multi-state manufacturing system with economic and resource dependence under epistemic uncertainty. International Journal of Production Research, 61(20), 6772–6790. https://doi.org/10.1080/00207543.2022.2137595
  • Dendauw, P., Goeman, T., Claeys, D., Turck, K. D., Fiems, D., & Bruneel, H. (2021). Condition-based critical level policy for spare parts inventory management. Computers & Industrial Engineering, 157, 107369. https://doi.org/10.1016/j.cie.2021.107369
  • Dhillon, B. S. (2006). Maintainability, maintenance, and reliability for engineers. Taylor & Francis.
  • Elsayed, E. A. (2012). Reliability engineering (2nd ed.). John Wiley.
  • Golbasi, O., & Turan, M. O. (2020). A discrete-event simulation algorithm for the optimization of multi-scenario maintenance policies. Computers & Industrial Engineering, 145, 106514. https://doi.org/10.1016/j.cie.2020.106514
  • Harrell, C., Gosh, B. K., & Bowden, R. O. (2004). Simulation using promodel (2nd ed.). Mc. Graw Hill.
  • Hoover, S., & Perry, R. (1990). Simulation: A problem solving approach. Addison-Wesley.
  • Ireson, W. G., Coombs, C. F., & Moss, R. Y. (1996). Handbook of reliability engineering and management (2nd ed.). McGraw-Hill.
  • Istiningrum, A. A., Munandar, L. M., & Sono. (2021). Reducing spare part inventory cost with shortage elimination through probabilistic economic order quantity. KINERJA, 25(2), 179–191. https://doi.org/10.24002/kinerja.v25i2.4371
  • Jang, J. S., & Park, S. C. (2017). A reliability model for a wafer FAB. Cogent Engineering, 4(1), 1340817. https://doi.org/10.1080/23311916.2017.1340817
  • Kannan, B. A., Kodi, G., Padilla, O., Gray, D., & Smith, B. C. (2020). Forecasting spare parts sporadic demand using traditional methods and machine learning – A comparative study. SMU Data Science Review, 3(2), 1–22. https://scholar.smu.edu/datasciencereview/vol3/iss2/9
  • Kelton, W. D., Sadowski, R. P., & Zupick, N. B. (2015). Simulation with arena (6th ed.). McGraw Hill.
  • Kolawole, A., Agboola, O. O., Ikubanni, P. P., Raji, O. G., & Okechukwu Osueke, C. (2019). Reliability and power loss analysis: A case study of a power plant in Nigeria. Cogent Engineering, 6(1), 1–13. https://doi.org/10.1080/23311916.2019.1579426
  • Law, A. M. (2013). Simulation modeling and analysis (5th ed.). McGraw Hill.
  • Lolli, F., Coruzzolo, A. M., Peron, M., & Sgarbossa, F. (2022). Age-based preventive maintenance with multiple printing options. International Journal of Production Economics, 243, 108339. https://doi.org/10.1016/j.ijpe.2021.108339
  • Manda, V. R., Kampurath, V., & Msrk, C. (2018). 3D printing and its effect on outsourcing: A study of the Indian aircraft industry. Journal of Aerospace Technology and Management, 10, 1–22. https://doi.org/10.5028/jatm.v10.862
  • Melani, A. H. D. A., Michalski, M. A. D. C., da Silva, R. F., Netto, A. C., & de Souza, G. F. M. (2022). Petri net-based reliability and availability analysis to support asset management: A CODOG propulsion system case study. IFAC-PapersOnLine, 55(19), 19–24. https://doi.org/10.1016/j.ifacol.2022.09.178
  • Nnamdi, O. (2018). Strategies for managing excess and dead inventories: A case study of spare parts inventories in the elevator equipment industry. Operations and Supply Chain Management: An International Journal, 11(3), 128–138. https://doi.org/10.31387/oscm0320209
  • Olukanni, D. O., Adejumo, T. A., Salami, A. W., & Adedeji, A. A. (2018). Optimization-based reliability of a multipurpose reservoir by genetic algorithms: Jebba Hydropower Dam, Nigeria. Cogent Engineering, 5(1), 1438740. https://doi.org/10.1080/23311916.2018.1438740
  • Pinçe, Ç., Turrini, L., & Meissner, J. (2021). Intermittent demand forecasting for spare parts: A critical review. Omega (United Kingdom), 105, 102513. https://doi.org/10.1016/j.omega.2021.102513
  • Pujawan, I. N., & Er, M. (2017). Supply chain management (3rd ed.). Andi.
  • Ram, M., & Manglik, M. (2016). An analysis to multi-state manufacturing system with common cause failure and waiting repair strategy. Cogent Engineering, 3(1), 1266185. https://doi.org/10.1080/23311916.2016.1266185
  • Rao, M. S., & Naikan, V. N. A. (2016). Review of simulation approaches in reliability and availability modeling. International Journal of Performability Engineering, 12(4), 369–388. https://doi.org/10.23940/ijpe.16.4.p369.mag
  • Salsabila, N. Y., & Siswanto, N. (2019). A simulation study of availability analysis on a chemical process industry considering spare part inventory. IOP Conference Series: Materials Science and Engineering, 673(1), 012079. https://doi.org/10.1088/1757-899X/673/1/012079
  • Salsabila, N. Y., Siswanto, N., Widodo, E., & Rochmadhan, O. A. (2019). Throughput analysis on a multi-state manufacturing system by considering availability. Jurnal Teknik Industri, 21(2), 69–78. https://doi.org/10.9744/jti.21.2.69-78
  • Sathish, T., Vijayakumar, M. D., & Ayyangar, A. K. (2018). Design and fabrication of industrial components using 3D printing. Materials Today: Proceedings, 5(6), 14489–14498. www.sciencedirect.comwww.materialstoday.com/proceedings https://doi.org/10.1016/j.matpr.2018.03.036
  • Sharda, B., & Bury, S. J. (2008 A discrete event simulation model for reliability modelling of a chemical plant [Paper presentation]. Proceeding of the 2008 Winter Simulation Conference. https://doi.org/10.1109/WSC.2008.4736260
  • Snyder, L. V., & Shen, Z.-J M. (2011). Fundamentals of supply chain theory (1st ed.). John Wiley & Sons.
  • Tersine, R. J. (1994). Principles of inventory and materials management (4th ed.). Prentice Hall.
  • Wakiru, J. M., Pintelon, L., Muchiri, P. N., & Chemweno, P. K. (2019). A simulation-based optimization approach evaluating maintenance and spare parts demand interaction effects. International Journal of Production Economics, 208, 329–342. https://doi.org/10.1016/j.ijpe.2018.12.014
  • Waters, D. (2003). Inventory control and management (2nd ed.). John Wiley & Sons.
  • Wilson, R. H. (1934). A scientific routine for stock control. Harvard Business Review, 13(1), 116–129.
  • Wongmongkolrit, S., & Rassameethes, B. (2011). The modification of EOQ model under the spare parts discrete demand: A case study of slow moving items. Proceedings of the World Congress on Engineering and Computer Science (WCECS), San Fransisco, USA, 19–21 October 2011.
  • Xu, L., Chen, Y., Briand, F., Zhou, F., & Givanni, M. (2017). Reliability measurement for multistate manufacturing systems with failure interaction. Procedia CIRP, 63, 242–247. https://doi.org/10.1016/j.procir.2017.03.124
  • Xu, X., Rodgers, M. D., & Guo, W. (. (2021). Hybrid simulation models for spare parts supply chain considering 3D printing capabilities. Journal of Manufacturing Systems, 59, 272–282. https://doi.org/10.1016/j.jmsy.2021.02.018
  • Zahedi-Hosseini, F., Scarf, P., & Syntetos, A. (2017). Joint optimisation of inspection maintenance and spare parts provisioning: A comparative study of inventory policies using simulation and survey data. Reliability Engineering & System Safety, 168, 306–316. https://doi.org/10.1016/j.ress.2017.03.007
  • Zahedi-Hosseini, F., Scarf, P., & Syntetos, A. (2018). Joint maintenance-inventory optimisation of parallel production systems. Journal of Manufacturing Systems, 48, 73–86. https://doi.org/10.1016/j.jmsy.2018.06.002
  • Zhang, Y., Zhao, M., Zhang, Y., Pan, R., & Cai, J. (2020). Dynamic and steady-state performance analysis for multi-state repairable reconfigurable manufacturing systems with buffers. European Journal of Operational Research, 283(2), 491–510. https://doi.org/10.1016/j.ejor.2019.11.013
  • Zhou, Y., Guo, Y., Lin, T. R., & Ma, L. (2018). Maintenance optimisation of a series production system with intermediate buffers using a multi-agent FMDP. Reliability Engineering & System Safety, 180, 39–48. https://doi.org/10.1016/j.ress.2018.07.008
  • Zhu, S., Jaarsveld, W. V., & Dekker, R. (2020). Spare parts inventory control based on maintenance planning. Reliability Engineering & System Safety, 193, 106600. https://doi.org/10.1016/j.ress.2019.106600