Abstract
The municipal solid waste system is a complex reverse logistic chain which comprises several optimisation problems. Although these problems are interdependent – i.e., the solution to one of the problems restricts the solution to the other – they are usually solved sequentially in the related literature because each is usually a computationally complex problem. We address two of the tactical planning problems in this chain by means of a Benders decomposition approach: determining the location and/or capacity of garbage accumulation points, and the design of collection routes for vehicles. We also propose a set of valid inequalities to speed up the resolution process. Our approach manages to solve medium-sized real-world instances in the city of Bahía Blanca, Argentina, showing smaller computing times in comparison to solving a full MIP model.
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Notes
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Mainly capacity, but could also be cost.
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Acknowledgements
The second author was supported by the Australia–Americas PhD Research Internship Program co-financed by the Australian Academy of Science, the Ministry of Foreign Affairs and Worship of Argentina and the Universidad Nacional del Sur.
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Mahéo, A., Rossit, D.G., Kilby, P. (2021). A Benders Decomposition Approach for an Integrated Bin Allocation and Vehicle Routing Problem in Municipal Waste Management. In: Rossit, D.A., Tohmé, F., Mejía Delgadillo, G. (eds) Production Research. ICPR-Americas 2020. Communications in Computer and Information Science, vol 1408. Springer, Cham. https://doi.org/10.1007/978-3-030-76310-7_1
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