Design of Warehouse Management System for Fresh Product in Supply Chain Network

Abstract

Warehouse management has an important role in maintaining product quality. Moreover, warehouses that handle fresh products are perishable and have a limited shelf life. therefore it is necessary to design smart warehouse management so that products can be accepted by customers with optimal quality. The supply chain network (SCN) is a model used to reduce costs and time efficiency. Previous research generally discusses the use of RFID, WSN and genetic algorithms for monitoring and decision making of products in supply chains and warehouses but does not focus on fresh products and warehouse management with the SCN model. The design a smart warehouse management system (SWMS), by integrating WSN, RFID and hybrid genetic algorithms (GA) with a combination of Analytical Hierarchy Process (AHP) for increased accuracy and optimization. For tracking and monitoring fresh products using Radio Frequency Identification (RFID) technology, temperature sensors, humidity sensors, and ultrasonic sensors. The SWMS design consists of 4 sub-systems: Smart Logistic, Adaptive Warehouse Inventory, Smart Forecasting System, and Smart Decision Support System.