Truck Loading Problem: Mathematical optimization and objective functions assessment

MARIA ANALÍA RODRIGUEZ; SEBASTIAN RODRIGUEZ; JUAN MATIAS NOVAS

Lima

Conferencia; CLAIO 2018: XIX LATIN-IBEROAMERICAN CONFERENCE ON OPERATIONS RESEARCH; 2018

e Association of Latin-Iberoamerican Operational Research Societies (ALIO)

The truck loading problem (TLP) is a critical issue present in the logistic divisions of many companies. The TLP receives the attention from the research community, because of its intrinsic complexity, and from practitioners since an efficient approach can significantly reduce the transport costs. The present proposal addressed the TLP where a set of elaborated products, arranged in pallets, must be delivered to a distribution center in order to fulfill a given demand. All products can be loaded in any truck of a fleet. The pallets have diverse size and weight and trucks have limits on those features. There are other constraints which represent specific domain issues too. The proposal relies on a MILP model, that optimizes a multi-objective function (MOF). Several variants of that MOF were studied and the compromises among a set of metrics, that are relevant in practice, were analyzed. A case study taken from a real soda factory was solved and good computational results were obtained