Generalized disjunctive programming models for the truck loading problem: A case study from the non-alcoholic beverages industry

Juan M. Novas, Giovanni Ramello () and María Analía Rodríguez

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 140, issue C

Abstract: A real-world truck loading problem is considered for the major non-alcoholic beverage bottler in Argentina. The previous manual procedure to define the truck loading plan is improved by automatizing the process through a set of optimization models applying Generalized Disjunctive Programming. Most of the operational practices and restrictions are taken into account. Given that there is flexibility to load products in the trucks, a better use of their capacities is obtained, and the balance of forces addressed avoids expensive penalties fees. By a set of examples, different metrics are tested, and good quality results are obtained for an every-day practice.

Keywords: Truck loading; Container loading; Mathematical programming; Optimization; Bin packing problem; Long-distance logistics (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tre.2020.101971

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