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Monitoring delivery chains using multivariate control charts

Author

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  • Faraz, Alireza
  • Heuchenne, Cédric
  • Saniga, Erwin
  • Foster, Earnest

Abstract

Delivery chains are concerned with the delivery of goods and services to customers within a specific time interval; this time constraint is added to the usual consumer demand for product or service quality. In this context, we address the idea of using process control tools to monitor this key variable of delivery time. In applications, there are usually several production and delivery sites and a variety of different ways to transport, treat and provide goods and services; that makes the problem multivariate in nature. We therefore propose to control the process using multivariate T2 control charts economically designed with the addition of statistical constraints, a design method called economic-statistical design. We illustrate the application in general through an illustrative example.

Suggested Citation

  • Faraz, Alireza & Heuchenne, Cédric & Saniga, Erwin & Foster, Earnest, 2013. "Monitoring delivery chains using multivariate control charts," European Journal of Operational Research, Elsevier, vol. 228(1), pages 282-289.
    • Handle: RePEc:eee:ejores:v:228:y:2013:i:1:p:282-289
    DOI: 10.1016/j.ejor.2013.01.038
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    References listed on IDEAS

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    1. Celano, Giovanni & De Magalhães, Maysa S. & Costa, Antonio F.B. & Fichera, Sergio, 2011. "A stochastic shift model for economically designed charts constrained by the process stage configuration," International Journal of Production Economics, Elsevier, vol. 132(2), pages 315-325, August.
    2. Faraz, A. & Heuchenne, Cedric & Saniga, E., 2012. "Optimal T2 control chart with a double sampling scheme - an alternative to the MEWMA chart," LIDAM Reprints ISBA 2012036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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    Cited by:

    1. Song, Zhi & Mukherjee, Amitava & Zhang, Jiujun, 2021. "Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment," European Journal of Operational Research, Elsevier, vol. 289(1), pages 177-196.
    2. Leoni, Roberto Campos & Costa, Antonio Fernando Branco & Machado, Marcela Aparecida Guerreiro, 2015. "The effect of the autocorrelation on the performance of the T2 chart," European Journal of Operational Research, Elsevier, vol. 247(1), pages 155-165.

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