Abstract
Nowadays because of COVID-19 pandemic, the warehouse management system (WMS) solutions in the lean supply chain became more challenging The WMS concerned with the logistics problem of stock keeping units (SKUs) being assigned to a proper storage location, i e the Storage Location Assignment Problem (SLAP), is considered in this paper Solving SLAP helps with the decision making affecting the efficiency of order-picking operations This paper proposes a generic solution for SLAP;it is a smart logistics solution using data analytics and genetic algorithm where it introduces generic association-based assignment algorithm which helps placing SKUs nearby each other on the racking systems within the warehouse based on their frequency of being ordered together in the same picking orders The percentage difference between the optimal solution and the solution achieved from the proposed approach is around 5 6% This implies that the proposed smart logistic solution approach is successful in solving the SLAP and then enhances the WMS efficiency © 2020 International Research Publication House All rights reserved
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