11th Annual International Conference on Industrial Engineering and Operations Management

Banish Waste in Warehouse Operations using Lean Matrix

Putu Karningsih
Publisher: IEOM Society International
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Track: Lean Six Sigma
Abstract

Lean thinking has been widely implemented on manufacture or service industry to eliminate waste. Inventory has been known as one of the well-known seven waste that is needed to be removed. On the other hand, it is not easy for any industry to manage their supply chain without any inventory buffer in their warehouse. As warehouse operations cost could consume up to half of supply chain cost, it is necessary to improve its efficiency. Application of lean warehousing could lower costs and optimize resource utilization which bring benefits not only for the warehouse but also the whole supply chain.  Implementation of Lean warehousing requires supporting tools that is nowadays mostly adopted from generic tools as in Lean Manufacturing. Very few studies are available on Lean Warehousing and even fewer studies on specific tool for lean warehousing. This study proposes a new tool for Lean Warehousing implementation, which is called Lean Matrix. Lean Matrix has a simple structure as it only consists of two matrix but it serves as a comprehensive and integrated tool. This tool offers support from identification of waste and its causes, analysis of critical waste, until formulation and prioritization of waste elimination plan. Moreover, Lean Matrix also considers waste relationships and  impact of waste to company’s performance. The first matrix of  Lean Matrix produces list of critical waste and its causes as well as critical area where waste occured. The second matrix provides list of waste elimination or reduction plans as well as their prioritization. This tool is then applied to an starch and sweetener company in Indonesia. Overprocessing and transportation are two major waste identified in the case study. These waste are occured in external warehouse building and two waste elimination actions are suggested accordingly.

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767