Placement of Products and Improvement of Order Picking Process through Association Analysis: A Case Study in Pharmaceutical Warehouse

Abstract

While taking strategic decisions for the future in today's business world, which has a constantly changing and dynamic structure, several implications can be drawn with the information obtained from databases and the correct processing and analysis of this information. With regard to these implications, various decisions can be taken to improve the processes. Businesses can execute their processes more efficiently and they are able to make better decisions on the future by processing the data that will benefit by using the data mining techniques. In this study, the past orders of a pharmaceutical company were analyzed and an association analysis of the products in these orders was performed and a methodological framework has been presented based on the Apriori Algorithm results to ensure that the products are placed at the optimum level in the warehouse. Therefore, this study contributes to the improvement of order picking process.