Proposed Quality Improvement Using Statistical Process Control (SPC) Method on Picking Process at JD.ID Warehouse FMCG Marunda

Abstract

JD.ID Warehouse FMCG Marunda is a company engaged in logistics which includes receiving goods from suppliers in the Inbound department, storing goods in the Inventory department and packing goods in the Outbound department. FMCG or Fast moving Customer Goods include Groceries and Health Care, Mother, Baby & Kids Products, Beauty Products. The main quality problem at JD.ID Warehouse FMCG Marunda occurs in the picking process in the Outbound department. The purpose of this study is to propose quality improvements to minimize the number of defective products during the picking process using three Statistical Process Control (SPC) quality tools, namely, Ishikawa diagrams, U Control Maps and Pareto diagrams. The use of Ishikawa diagrams to analyze the main causes of defects during the picking process with Man, Machine, Method, Measurement, Material factors. U Control Map to evaluate the picking process is within the limits of statistical quality control or not, the data processing process with U control chart uses the object of research, namely the defect data of the “Gulaku Gula Pasir Tebu 1 kg” product which is included in the Groceries product category with the highest defective rate during the period June-September 2021. Through analysis with the U Control Map, it is known that during the picking process it has not yet reached process stability so that it still produces defective products. The use of Pareto diagrams is to show the main types of defects  in the the “Gulaku Gula Pasir Tebu 1 kg” product, namely ‘Sobek’ with a defect percentage of 72.7%. Therefore, need to manage Task Assignment to picker by considering the dimensions of the product, providing training related to material handling knowledge to the picker, making a routine 5R schedule, adding rubber as a bumper on the surface of the trolley. The implementation of this proposed improvement can reduce and streamline the standard time of the picking process, reduce the possibility of material handling products that are not suitable, causing defective products to be picked, and streamline picker mobility activities during the picking process.