Evaluating and monitoring distribution network efficiency with multivariate process control methods

  • Yildiz, Hakan; 
  • Talluri, Srinivas; 
  • Xie, Xiulin; 
  • Yoon, Jiho; 
  • Qiu, Peihua; 
  • 외 1명
Citations

WEB OF SCIENCE

6
Citations

SCOPUS

9

초록

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.

키워드

Distribution; performance monitoring; risk management; statistical process control charts; data envelopment analysis; CHAIN PERFORMANCE-MEASUREMENT; DATA ENVELOPMENT ANALYSIS; SUPPLY CHAIN; RISK-MANAGEMENT; DEA MODEL; PRODUCTIVITY; SELECTION; SYSTEM; OPTIMIZATION; BENCHMARKING
제목
Evaluating and monitoring distribution network efficiency with multivariate process control methods
저자
Yildiz, Hakan; Talluri, Srinivas; Xie, Xiulin; Yoon, Jiho; Qiu, Peihua; Wassick, John M.
DOI
10.1080/00207543.2021.1964707
발행일
2022-01
유형
Article
저널명
International Journal of Production Research
권
60
호
2
페이지
517 ~ 533