6533b86cfe1ef96bd12c8cda

RESEARCH PRODUCT

Mathematical models for multicontainer loading problems

Francisco ParreñoJosé Manuel TamaritRamón Alvarez-valdésMaria Teresa AlonsoManuel Iori

subject

Truck050210 logistics & transportationMathematical optimization021103 operations researchInformation Systems and ManagementMathematical modelComputer scienceStrategy and Management05 social sciences0211 other engineering and technologiesLinear model02 engineering and technologyManagement Science and Operations ResearchContainers; Cutting stock problem; Integer programming; Optimization; Strategy and Management1409 Tourism Leisure and Hospitality Management; Information Systems and Management; Management Science and Operations ResearchAxlePosition (vector)0502 economics and businessPalletMinificationInteger (computer science)

description

Abstract This paper deals with the problem of a distribution company that has to serve its customers by putting first the products on pallets and then loading the pallets onto trucks. We approach the problem by developing and solving integer linear models. We start with basic models, that include the essential features of the problem, such as respecting the dimensions of the truck, and not exceeding the total weight capacity and the maximum weigh capacity on each axle. Then, we add progressively new conditions to consider the weight and volume of pallet bases and to include other desirable features for the solutions to be useful in practice, such as the position of the center of gravity and the minimization of the number of pallets. The models have been tested on a large set of real instances involving up to 46 trucks and kindly provided to us by a distribution company. The results show that in most cases the optimal solution can be obtained in small running times. Moreover, when optimality cannot be proven, the gap is very small, so we obtain high quality solutions for all the instances that we tested.

10.1016/j.omega.2016.02.002https://hdl.handle.net/11380/1102695