Simulation to reallocate supply to committed orders under shortage

[EN] This article aims to deal with the reallocating supply problem in both its real and planned contexts, to orders that result from the order promising process under shortage. To this end, we propose a system dynamics-based simulation model to facilitate modelling for order managers, and to provide a graphic support tool to understand the process and to make decisions. The basis of the simulation model's structure is a mixed-integer linear programming approach that intends to maximise profits by considering the possibility of making partial and delayed deliveries. To illustrate this, we consider a real-world problem from the ceramic sector that contemplates 35 orders. We obtained a solution by a mathematical programming model and a simulation model. The results show the simulation model's capacity to obtain near-optimum results, and to provide a simulated history of the system."This is an Author's Accepted Manuscript of an article published in Esteso, Ana, Josefa Mula, Francisco Campuzano-Bolarín, MME Alemany Diaz, and Angel Ortiz. 2018. Simulation to Reallocate Supply to Committed Orders under Shortage. International Journal of Production Research 57 (5). Informa UK Limited: 1552 70. doi:10.1080/00207543.2018.1493239, available online at: https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1493239"Esteso, A.; Mula, J.; Campuzano-Bolarín, F.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2019). Simulation to reallocate supply to committed orders under shortage. International Journal of Production Research. 57(5):1552-1570. https://doi.org/10.1080/00207543.2018.1493239S15521570575Alarcón, F., Alemany, M. M. E., Lario, F. C., & Oltra, R. F. (2011). La falta de homogeneidad del producto (FHP) en las empresas cerámicas y su impacto en la reasignación del inventario. Boletín de la Sociedad Española de Cerámica y Vidrio, 50(1), 49-58. doi:10.3989/cyv.072011Alemany, M. M. E., Alarcón, F., Oltra, R. F., & Lario, F. C. (2013). Reasignación óptima del inventario a pedidos en empresas cerámicas caracterizadas por la falta de homogeneidad en el producto (FHP). Boletín de la Sociedad Española de Cerámica y Vidrio, 52(1), 31-41. doi:10.3989/cyv.42013Alemany, M. M. E., Grillo, H., Ortiz, A., & Fuertes-Miquel, V. S. (2015). A fuzzy model for shortage planning under uncertainty due to lack of homogeneity in planned production lots. Applied Mathematical Modelling, 39(15), 4463-4481. doi:10.1016/j.apm.2014.12.057Alemany, M. M. E., Lario, F.-C., Ortiz, A., & Gómez, F. (2013). Available-To-Promise modeling for multi-plant manufacturing characterized by lack of homogeneity in the product: An illustration of a ceramic case. 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The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

Recent years have witnessed companies abandon traditional open-loop supply chain structures in favour of closed-loop variants, in a bid to mitigate environmental impacts and exploit economic opportunities. Central to the closed-loop paradigm is remanufacturing: the restoration of used products to useful life. While this operational model has huge potential to extend product life-cycles, the collection and recovery processes diminish the effectiveness of existing control mechanisms for open-loop systems. We systematically review the literature in the field of closed-loop supply chain dynamics, which explores the time-varying interactions of material and information flows in the different elements of remanufacturing supply chains. We supplement this with further reviews of what we call the three ‘pillars’ of such systems, i.e. forecasting, collection, and inventory and production control. This provides us with an interdisciplinary lens to investigate how a ‘boomerang’ effect (i.e. sale, consumption, and return processes) impacts on the behaviour of the closed-loop system and to understand how it can be controlled. To facilitate this, we contrast closed-loop supply chain dynamics research to the well-developed research in each pillar; explore how different disciplines have accommodated the supply, process, demand, and control uncertainties; and provide insights for future research on the dynamics of remanufacturing systems

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Optimal greenhouse cultivation control: survey and perspectives

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