Development of a Production Scheduling Model in a Hybrid MTO/MTS Production System Considering the Demand for Spare Parts
Abstract
In this paper, a new mathematical model for production scheduling in hybrid Make-to-Order (MTO)/Make-to-Stock (MTS) systems is presented, incorporating the possibility of selling semi-finished parts. The objective of this research is to develop an optimization method that not only reduces production time and operational costs but also provides precise scheduling of start/end times for each machine’s tasks and machine utilization durations throughout the process. The proposed model is formulated as a Mixed-Integer Linear Programming (MILP) framework and enhances system efficiency by simultaneously managing MTO order demands, MTS demands, and independent demands for semi-finished parts in both MTO and MTS systems, while minimizing resource wastage. Simulation and sensitivity analysis results demonstrate that the model can significantly improve scheduling accuracy and optimize equipment utilization. The evaluation of the model was conducted using simulated data. This approach has broad applications in industries such as automotive and electronics and can support strategic decision-making in production management.
Keywords:
Production scheduling, Hybrid MTO/MTS system, Spare partsReferences
- [1] Peeters, K., & van Ooijen, H. (2020). Hybrid make-to-stock and make-to-order systems: a taxonomic review. International Journal of Production Research, 58(15), 4659–4688. https://doi.org/10.1080/00207543.2020.1778204
- [2] Rafiei, H., & Rabbani, M. (2012). Capacity coordination in hybrid make-to-stock/make-to-order production environments. International Journal of Production Research, 50(3), 773–789. https://doi.org/10.1080/00207543.2010.543174
- [3] Beemsterboer, B., Land, M., & Teunter, R. (2016). Hybrid MTO-MTS production planning: An explorative study. European Journal of Operational Research, 248(2), 453–461. https://doi.org/10.1016/j.ejor.2015.07.037
- [4] Beemsterboer, B., Land, M., & Teunter, R. (2017). Flexible lot sizing in hybrid make-to-order/make-to-stock production planning. European Journal of Operational Research, 260(3), 1014–1023. https://doi.org/10.1016/j.ejor.2017.01.015
- [5] Kuthambalayan, T. S., & Bera, S. (2020). Managing product variety with mixed make-to-stock/make-to-order production strategy and guaranteed delivery time under stochastic demand. Computers & Industrial Engineering, 147, 106603. https://doi.org/10.1016/j.cie.2020.106603
- [6] Kusuma, P. D. (2022). Hybrid make-to-stock and make-to-order (mts-mto) scheduling model in multi-product production system. International Journal of Integrated Engineering, 14(4), 188–200. https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/download/7974/4911
- [7] Altendorfer, K., & Minner, S. (2014). A comparison of make-to-stock and make-to-order in multi-product manufacturing systems with variable due dates. Iie Transactions, 46(3), 197–212. https://doi.org/10.1080/0740817X.2013.803638
- [8] Beemsterboer, B., Land, M., Teunter, R., & Bokhorst, J. (2017). Integrating make-to-order and make-to-stock in job shop control. International Journal of Production Economics, 185, 1–10. https://doi.org/10.1016/j.ijpe.2016.12.015
- [9] Kim, H., & Kim, E. (2022). A hybrid manufacturing system with demand for intermediate goods and controllable make-to-stock production rate. European Journal of Operational Research, 303(3), 1244–1257. https://doi.org/10.1016/j.ejor.2022.03.039
- [10] Kerkkänen, A. (2007). Determining semi-finished products to be stocked when changing the MTS-MTO policy: Case of a steel mill. International Journal of Production Economics, 108(1–2), 111–118. https://doi.org/10.1016/j.ijpe.2006.12.006
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