Welcome to the InfoSci Platform
Inventory Management, a Decision Support Framework to Improve Operational Performance

Inventory Management, a Decision Support Framework to Improve Operational Performance

Jan van den Berg, Guido van Heck, Mohsen Davarynejad, Ron van Duin
Copyright: © 2012 |Pages: 21
ISBN13: 9781466617643|ISBN10: 1466617640|EISBN13: 9781466617650
DOI: 10.4018/978-1-4666-1764-3.ch015
Cite Chapter Cite Chapter

MLA

van den Berg, Jan, et al. "Inventory Management, a Decision Support Framework to Improve Operational Performance." Organizational Integration of Enterprise Systems and Resources: Advancements and Applications, edited by João Eduardo Quintela Alves de Sousa Varajão, et al., IGI Global, 2012, pp. 268-288. https://doi.org/10.4018/978-1-4666-1764-3.ch015

APA

van den Berg, J., van Heck, G., Davarynejad, M., & van Duin, R. (2012). Inventory Management, a Decision Support Framework to Improve Operational Performance. In J. Varajão, M. Cruz-Cunha, & A. Trigo (Eds.), Organizational Integration of Enterprise Systems and Resources: Advancements and Applications (pp. 268-288). IGI Global. https://doi.org/10.4018/978-1-4666-1764-3.ch015

Chicago

van den Berg, Jan, et al. "Inventory Management, a Decision Support Framework to Improve Operational Performance." In Organizational Integration of Enterprise Systems and Resources: Advancements and Applications, edited by João Eduardo Quintela Alves de Sousa Varajão, Maria Manuela Cruz-Cunha, and Antonio Trigo, 268-288. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1764-3.ch015

Export Reference

Mendeley
Favorite

Abstract

Enterprise Resource Planning systems have been introduced to support the efficient and effective execution of business processes. In practice, this may not fully succeed. This also holds in particular for inventory management (IM), which forms a part of supply chain management. Within this research, by analyzing the IM business process theoretically, eleven potential benefits are indicated. Next, by using a Business Intelligence approach, key performance indicators (KPIs) are selected to measure the performance of IM sub-processes. Integration of these approaches yields an IM performance decision support framework that can be used to obtain a generic, coherent picture of the fundamental IM processes in an organization. In addition, by tracking and analyzing KPI measurements, adequate decisions can be prepared towards the improvement of the operational IM performance. The proposed framework is validated using experts’ opinions and a comparative case study. The experts’ comments yielded a list of top-10 KPIs, based on the measurements of which a set of quick wins can be determined. The case study results show that some of the identified potential benefits are also observed in practice. Future research may reveal that comparable performance improvements are possible in other IM environments (and even in other supply chain domains) based on similar decision support frameworks.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.