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Martins, A., Cardoso-Grilo, T. & Lobato, S. (2019). A multi-scenario analysis to improve layout efficiency. In Markku Kuula and Gyöngyi Kovács (Ed.), Proceedings of the 26th EurOMA Conference: Operations Adding Value to Society. Helsinki: EurOMA.
A. L. Martins et al., "A multi-scenario analysis to improve layout efficiency", in Proc. of the 26th EurOMA Conf.: Operations Adding Value to Society, Markku Kuula and Gyöngyi Kovács, Ed., Helsinki, EurOMA, 2019
@inproceedings{martins2019_1731867568847, author = "Martins, A. and Cardoso-Grilo, T. and Lobato, S.", title = "A multi-scenario analysis to improve layout efficiency", booktitle = "Proceedings of the 26th EurOMA Conference: Operations Adding Value to Society", year = "2019", editor = " Markku Kuula and Gyöngyi Kovács", volume = "", number = "", series = "", publisher = "EurOMA", address = "Helsinki", organization = "Hanken School of Economics and Aalto University Business School", url = "http://euroma2019.org/" }
TY - CPAPER TI - A multi-scenario analysis to improve layout efficiency T2 - Proceedings of the 26th EurOMA Conference: Operations Adding Value to Society AU - Martins, A. AU - Cardoso-Grilo, T. AU - Lobato, S. PY - 2019 CY - Helsinki UR - http://euroma2019.org/ AB - Logistics costs represent a large portion of overall costs. Companies in peripheral countries need to be additionally careful in streamlining them if they want to maintain their competitivity. This research is focussed on a plant belonging to an aerospace component supplier, and its purpose is to reduce the layout costs in one of its warehouses. Data was collected using documentation, archival records, informal interviews, and direct and participant observation. From 66 initial scenarios based on layout decisions, storage assignment policies and alternative picking routes, 44 were compared as these are the ones that fit the company reality. Findings showed that travelling distance could be reduced when the allocation of items in shelves follow their picking frequency and when Class-based storage with return routing policies is used. In parallel, it does not impact in a relevant way process time and the quality of the picking. ER -