Evaluating and monitoring distribution network efficiency with multivariate process control methods
- Authors
- Yildiz, Hakan; Talluri, Srinivas; Xie, Xiulin; Yoon, Jiho; Qiu, Peihua; Wassick, John M.
- Issue Date
- Jan-2022
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- Distribution; performance monitoring; risk management; statistical process control charts; data envelopment analysis
- Citation
- INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.60, no.2, pp 517 - 533
- Pages
- 17
- Journal Title
- INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Volume
- 60
- Number
- 2
- Start Page
- 517
- End Page
- 533
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61924
- DOI
- 10.1080/00207543.2021.1964707
- ISSN
- 0020-7543
1366-588X
- Abstract
- In this paper, we present a methodology, by utilising a nonparametric multivariate cumulative sum control chart and data envelopment analysis in tandem, to evaluate and monitor distribution network performance by simultaneously considering multiple performance factors and their interrelationships. While these methods were previously applied individually, we demonstrate that their combined use can provide more powerful results in performance assessment, monitoring and improvement. Our approach contributes to the domain of supply chain analytics and risk management as it can provide new insights into network performance based on real time and past data. We present the application of our approach on data obtained from The Dow Chemical Company.
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Collections - College of Business & Economics > School of Business Administration > 1. Journal Articles
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