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Contemporary business conditions identify warehousing as a key component of supply chain (SC) efficiency It can appear in all stages of SC implementation, from the supply of raw materials to the delivery of finished products to customers. The warehouse is a place of transformation of goods flows in which numerous processes are carried out. The efficiency of the storage process implementation greatly impacts the performance of the entire SC. Numerous benefits can be realized by influencing the processes that require the most resources. One of those processes is order-picking. The order-picking process can be influenced on three levels: technical-technological, organizational, and managerial. While existing literature has extensively examined technical and technological aspects, there remains a notable gap in understanding the holistic impact of modern pick-assist technologies on warehouse management. In this paper, improvement at the management level will be considered by introducing modern technologies such as pick by light, pick by voice, pick by vision- augmented reality, and others. This paper is dedicated to the selection of modern pick-assist technologies to increase warehouse productivity. The technology selection is based on defined criteria. The Fuzzy Analytic Hierarchy Process (FAHP) method will be used to determine the weights of the criteria, while the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method will be used to determine the rank. The results of the research are expected to provide practical guidelines for the selection and implementation of modern pick-assist technologies in warehouses, aiming to improve the efficiency of order picking and overall productivity.
Keywords: Warehouse, order-picking, pick-assist technologies selection, FAHP, FTOPSIS© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.