Abstract
Warehousing, is a pillar of logistics and a link in the entire Supply Chain. Thus, warehousing’s quality is dependent on the effectiveness of its multiple missions that meets several challenges (safety, security, handling equipment, design...). Sizing warehouses & Optimization of surfaces is the research focus on this paper that mainly aims and contributes to standardize the estimation of the storage area surface to be used and optimizing it. This study arises from the fact that some companies must store different equipment (with distinct dimensions and different dates of entry and exit) on the same storage area, what makes these companies fall into the warehousing hazard trap. The proposed solution of this research results from the Benchmarking study carried out on the Container Storage Problem in port terminals. In this paper, we propose a Branch and Cut algorithm which is supported by some specific storage strategies, highlighting the Operational Research as an efficient problem-solving tool. To meet the objectives and make the work a reality, a project under construction at JESA company is taken as a reference to apply the solution and implemented it through CPLEX optimization software using the Optimization Programming Language OPL.
Supported by JESA company.
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Ayad, M., Siadat, A. (2022). Approach for Optimisation Warehouse Storage Areas Based on the Container Storage Problem. In: Hamlich, M., Bellatreche, L., Siadat, A., Ventura, S. (eds) Smart Applications and Data Analysis. SADASC 2022. Communications in Computer and Information Science, vol 1677. Springer, Cham. https://doi.org/10.1007/978-3-031-20490-6_22
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