Application Of Association Rule Data Mining And Discrete Event Simulation In Improving Warehouse Operation And Storage Allocation Strategy: A Case Study Of YCH Company

Abstract

Warehouse Management System (WMS) is the top priority solution to improve customer satisfaction and reduce inventory cost, which is directly impacted on business performance. In the competition of logistic industry, the need of an effeciency warehouse and operation increases rapidly. Beside that many researches about warehousing showed that the awareness of layout design, management policies and the implement from operations can save cost and increase profit for enterprises. This thesis examines the application of different improvement methods in the case of YCH Protrade Binh Duong warehouse, which storages the products of Suntory Pepsico company. YCH Protrade is facing with the decreasing efficiency in operations after the request from customer, increase the volume of imported products each month from 17000 pallets to 23000 pallets. The company is now looking for the solution to handle the new volume, also minimize system errors and nonconformities from operation.