Waste Minimization by Inventory Management in High-Volume High-Complexity Manufacturing Organizations

Author:

Afy-Shararah MohamedORCID,Jagtap SandeepORCID,Pagone EmanueleORCID,Salonitis KonstantinosORCID

Abstract

AbstractOrganizations that manufacture high volumes of complex products (e.g., pharmaceutical, automotive, food) require specific strategies to ensure efficient processing of parts and a sustainable level of inventory by waste minimization. A review of literature sources revealed how inventory is classified and managed amongst organizations and industries and key challenges that current organizations face with existing inventory management systems. In this paper, these findings are compared against each other to determine best practices and potential shortfalls that should be addressed when trying to manage inventory holistically. A study is then conducted using qualitative data from 15 semi-structured interviews to answer key questions on inventory management based on the findings from the literature survey. Responses are inductively coded and analyzed to reveal the most important factors of inventory management and determine the most prominent themes. A graphical model to represent the findings is also presented. Inventory functional accountability, inventory classification, operational strategies, visual management of inventory data, and efficient processes were some of the key themes known to be critical for effective inventory management and thus illustrated in the graphical model.

Publisher

Springer International Publishing

Reference19 articles.

1. Shin, S., Ennis, K.L., Spurlin, W.P.: Effect of inventory management efficiency on profitability: current evidence from the U.S. manufacturing industry. J. Econ. Econ. Educ. Res. 16(1), 98–106 (2015)

2. Jacobs, F.R., Chase, R.B.: Operations and Supply Chain Management, Fourteenth McGraw-Hill/Irwin, New York (2014)

3. Chan, S.W., Tasmin, R., Aziati, A.H.N., Rasi, R.Z., Ismail, F.B., Yaw, L.P.: Factors influencing the effectiveness of inventory management in manufacturing SMEs. IOP Conf. Ser. Mater. Sci. Eng. 226, 012024 (2017). https://doi.org/10.1088/1757-899X/226/1/012024

4. Afy-Shararah, M., Rich, N.: Operations flow effectiveness: a systems approach to measuring flow performance. Int. J. Oper. Prod. Manag. 38(11), 2096–2123 (2018). https://doi.org/10.1108/IJOPM-09-2016-0575

5. Slack, N., Chambers, S., Johnston, R.: Operations Management. Pearson Education, London (2010)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3