Reference : Monitoring delivery chains using multivariate control charts
Scientific journals : Article
Business & economic sciences : Quantitative methods in economics & management
Business & economic sciences : Production, distribution & supply chain management
Monitoring delivery chains using multivariate control charts
Faraz, Alireza mailto [Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie >]
Heuchenne, Cédric mailto [Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie >]
Saniga, Erwin mailto [Department of Business Administration, University of Delaware, Newark, DE 19716, USA > > > >]
Foster, Earnest mailto [Industrial Engineering Department, University of Washington, Seattle, USA > > > >]
European Journal of Operational Research
Elsevier Science
Yes (verified by ORBi)
The Netherlands
[en] Transportation; Supply chain management; Quality control; Multivariate control charts; Economic statistical design and genetic algorithms
[en] 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.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers ; Professionals ; Students ; General public

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