Fabri Lima, MarcelusRamalhinho-Lourenço, Helena2021-03-292023Fabri M, Ramalhinho H. The in-house logistics routing problem. Int Trans Oper Res. 2023 Mar;30(2):1144-68. DOI: 10.1111/itor.129650969-6016http://hdl.handle.net/10230/46973In this work, we consider the internal logistics processes in the car assembling company SEAT S.A (where SEAT is Sociedad Española de Automóviles de Turismo). We focus on the design of the supplying routes from the warehouse toward the workstations along a production line. The in‐house logistics routing problem (ILRP) can be seen as an extension of the classical vehicle routing problem considering special features such as long‐term fixed routes, unknown orders, backorders, and homogeneous fleet. To solve the ILRP, we propose an integer linear programming (ILP) model and a simulation‐based iterated local search (SimILS) algorithm. We conduct two computational experiments. The first experiment analyzes the methods' performance, and the second experiment compares the SimILS results with the current company's routes, considering real data provided by SEAT S.A. The results show that the SimILS provides the best overall results overcoming both the ILP approach and the current company's solution, leading to a significant improvement in the company's processes.application/pdfengThis is the peer reviewed version of the following article: Fabri M, Ramalhinho H. The in-house logistics routing problem. Int Trans Oper Res. 2023 Mar;30(2):1144-68. DOI: 10.1111/itor.12965, which has been published in final form at http://dx.doi.org/10.1111/itor.12965. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1111/itor.12965MetaheuristicsInteger programmingLogisticsCombinatorial optimizationAutomotive industryinfo:eu-repo/semantics/openAccess