Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach

L. S. Negi, Y. Kharde
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引用次数: 2

Abstract

PurposeInventory accumulation is a major problem for any organization, as it not only occupies the valuable storage space, but it also blocks the company's capital, leaving the owners with less cash to run the company's business. Aggregation of inventory in any organization contributes to inventory carrying cost; it affects labor productivity, increases equipment expenses and creates a loss of opportunity associated with it. Therefore, it is essential for any organization to come up with a solution to deal with the stockpile of inventory.Design/methodology/approachThis research aims to examine the potential causes of inventory aggregation in an organization. First, the potential factors for the build-up of inventory are identified from survey data collection, such as questionnaire approach and discussion with industry experts, and then weights are assigned to attributes to study the effects for these factors. After the identification of probable causes, they are analyzed through a multi-criterion decision-making (MCDM) approach and the technique for order of preference by similarity to ideal solution (TOPSIS) to prioritize the severity of these causes toward the accumulation of inventory and take corrective actions to prevent their disruptive effect on the business.FindingsThe top three causes identified from the TOPSIS analysis are sales and forecasting error, defects and quality related issues and communication gap between departments. Firstly, we focus on these major contributors and prioritize them using the TOPSIS analysis. Then, we proceed further toward other factors. The main reasons identified for the accumulation of inventory are (1) forecasting error, (2) bulk purchase, (3) data entry error, (4) communication gaps, (5) quality-related issues, (6) product category not traceable and (7) wrong material being procured.Research limitations/implicationsTo carry out the data analysis in this research paper, first survey data collection is done. Then, discussions with managers and executives in the particular domain are carried out, and weights are assigned to the attributes and the criteria to study the effects of the identified factors. After that root cause analysis (RCA) is performed to get to the genesis of the problem and to take necessary corrective action, for carrying out this study, a total of seven potential causes were identified and the contribution of these seven causes on five attributes or criteria, i.e. quantity (in tons), holding and carrying cost, effect on labor productivity, loss of opportunity cost and storage space were studied.Originality/valueThis research paper is the author’s original work, and all the analyses carried out are from the discussion with experts in the field and through the in-depth analysis carried out. This research aims to examine the potential causes of the accumulation of inventory in organizations and their contribution toward factors like inventory carrying cost, labor productivity, and opportunity loss and excessive storage space have been analyzed. This research provides great value to the readers in the respective domain.
确定库存积累的根本原因,并使用基于mcdm的TOPSIS方法对其进行优先排序
库存积累对任何组织来说都是一个主要问题,因为它不仅占用了宝贵的存储空间,而且还阻塞了公司的资金,使所有者没有足够的现金来经营公司的业务。在任何组织中,库存的聚集都会产生库存持有成本;它影响劳动生产率,增加设备费用,并造成与之相关的机会损失。因此,对于任何组织来说,想出一个处理库存的解决方案是至关重要的。设计/方法/方法本研究旨在研究组织中库存聚集的潜在原因。首先,通过问卷调查法和与行业专家的讨论等调查数据收集,确定库存积累的潜在因素,然后赋予属性权重,研究这些因素的影响。在确定可能的原因后,通过多标准决策(MCDM)方法和通过与理想解决方案相似的优先顺序(TOPSIS)技术对这些原因的严重程度进行优先级排序,以库存的积累,并采取纠正措施,以防止其对业务的破坏性影响。TOPSIS分析确定的前三大原因是销售和预测错误,缺陷和质量相关问题以及部门之间的沟通差距。首先,我们关注这些主要贡献者,并使用TOPSIS分析对它们进行优先排序。然后,我们进一步讨论其他因素。确定库存积累的主要原因是(1)预测错误,(2)批量采购,(3)数据输入错误,(4)沟通差距,(5)质量相关问题,(6)产品类别不可追溯,(7)采购的材料错误。为了进行本研究论文的数据分析,首先进行了调查数据收集。然后,与特定领域的管理者和执行者进行讨论,并为属性和标准分配权重,以研究识别因素的影响。在进行根本原因分析(RCA)以获得问题的根源并采取必要的纠正措施之后,为了进行本研究,共确定了七个潜在原因,并研究了这七个原因对五个属性或标准的贡献,即数量(以吨为单位),持有和携带成本,对劳动生产率的影响,机会成本的损失和存储空间。原创性/价值这篇研究论文是作者的原创作品,所有的分析都是通过与该领域专家的讨论和深入的分析进行的。本研究旨在探讨组织中库存积累的潜在原因,并分析了库存持有成本、劳动生产率、机会损失和过多的存储空间等因素对库存积累的影响。本研究对相关领域的读者具有重要的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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