Monitoring delivery chains in a supply chain using multivariate control charts

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

Reference : Monitoring delivery chains in a supply chain using multivariate control charts


	Document type :	Scientific congresses and symposiums : Unpublished conference/Abstract
	Discipline(s) :	Business & economic sciences : Quantitative methods in economics & management
	To cite this reference:	http://hdl.handle.net/2268/90670

Title :	Monitoring delivery chains in a supply chain using multivariate control charts
Language :	English
Author, co-author :	Faraz, Alireza [Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie >]
	Heuchenne, Cédric [Université de Liège - ULiège > HEC-Ecole de gestion : UER > Statistique appliquée à la gestion et à l'économie >]
	Saniga, Erwin [Department of Business Administration, University of Delaware, Newark, Delaware > > > >]
	Foster, Earnest [Department of Business Administration, Penn State University, Pennsylvania, USA > > > >]
Publication date :	13-Jul-2011
Peer reviewed :	Yes
On invitation :	Yes
Audience :	International
Event name :	2th International Symposium on Statistical Process Control
Event date :	13-14 July, 2011
Event organizer :	PUC University-Rio
Event place (city) :	Rio de Janerio
Event country :	Brazil
Keywords :	[en] Delivery Chains, Multivariate Control Charts, Economic Statistical Design and Genetic Algorithms.
Abstract :	[en] The theory of the delivery chain considers the delivery of goods and services to customers within a specific time interval. Nowadays, organizations are focusing to satisfy their customers’ demands not only to meet the expectations for products quality but also in delivery times through managing delivery chains. Obviously it is desirable that a company has minimum delivery time of goods and services to its customers. Therefore, establishing economic and reliable control charts for monitoring the key characteristics of delivery chain is of great importance especially for managers to improve the whole delivery chains performance. On the other hand, as we shall see in the present paper, the performance of a delivery chain is multivariate in nature because customers do not evaluate a delivery performance with a univariate mindset and also there are usually several production and delivery sites, and variety of different methods of transportation of goods and services. In this paper, we propose a relatively new application of the economic statistical design of the multivariate T2 control chart to monitor the delivery chain performance and it is illustrated through a case study in the TNT express mail in Iran.
Permalink :	http://hdl.handle.net/2268/90670
Other URL :	http://www.ind.puc-rio.br/isspc2011/index2.html

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