Abstract
Changing consumer preferences present a difficult challenge to the brewing industry and hence necessitate adaptations of the production system due to changed requirements. Beer manufacturing is subject to restrictive dependencies, such as lead times, shelf life, multilevel processes, and storage tank restrictions. Therefore, we propose a multilevel capacitated lot-sizing problem (MLCLSP) that covers brewery-specific constraints. The investigated brewing company produces 220 finished and 100 semifinished products on 13 production and 8 storage resources within 3 production levels. Since the brewery-specific MLCLSP cannot be solved within reasonable computing time in the case at issue, we introduce a priority-based fix-and-relax-and-optimize heuristic. We present a computational study and managerial insights regarding changes in consumer preferences (i.e., additional products with low demand). We prove that the priority-based strategy dominates the standard strategy in solution quality and computation time. Furthermore, we demonstrate the potential of the MLCLSP-based planning approach for strategic decision making by revealing the impact on the entire production system.
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References
Förster, A., Haase, K., Tönnies, M.: Ein modellgestützter Ansatz zur mittelfristigen Produktions- und Ablaufplanung für eine Brauerei. J. Bus. Econ. 76(12), 1255–1274 (2006). https://doi.org/10.1007/s11573-006-0061-5
Baldo, T.A., Santos, M.O., Almada-Lobo, B., Morabito, R.: An optimization approach for the lot sizing and scheduling problem in the brewery industry. Comput. Ind. Eng. 72, 58–71 (2014). https://doi.org/10.1016/j.cie.2014.02.0080360-8352
Billington, P.J., McClain, J.O., Thomas, L.J.: Mathematical programming approaches to capacity-constrained MRP systems: review. Formul. Probl. Reduct. Manag. Sci. 29, 1126–1141 (1983). https://doi.org/10.1287/mnsc.29.10.1126
Mickein, M., Koch, M., Haase, K.: A decision support system for brewery production planning at Feldschlösschen. J. App. Anal. (2021). https://doi.org/10.1287/inte.2021.1101
Stadtler, S., Sahling, F.: A lot-sizing and scheduling model for multi-stage flow lines with zero lead times. Eur. J. Oper. Res. 225, 404–419 (2013). https://doi.org/10.1016/j.ejor.2012.10.011
Stadtler, H.: Multilevel lot sizing with setup times and multiple constrained resources: internally rolling schedules with lot-sizing windows. Oper. Res. 51, 487–502 (2003). https://doi.org/10.1287/opre.51.3.487.14949
Helber, S., Sahling, F.: A fix-and-optimize approach for the multi-level capacitated lot sizing problem. Int. J. Prod. Econ. 123, 247–256 (2010). https://doi.org/10.1287/opre.51.3.487.14949
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Mickein, M., Koch, M., Haase, K. (2022). Data-Driven Decision Making for Strategic Production Planning in a Brewing Company. In: Trautmann, N., Gnägi, M. (eds) Operations Research Proceedings 2021. OR 2021. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-08623-6_55
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DOI: https://doi.org/10.1007/978-3-031-08623-6_55
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