Raghavan, Srinivasa NR and Viwanadham, N (2002) Stochastic models for analysis of supply chain networks. In: 2002 American Control Conference, 8-10 May, Alaska,USA, Vol.6, 4714-4719.
In this paper, we investigate use of stochastic network modeling techniques for analyzing supply chain networks. Supply chains are interconnections of several companies such as suppliers, manufacturers, distributors and retailers with the aim of producing and selling customer desired products. Computing the supply chain lead time, or the order-to-delivery time is an important exercise. In this paper, we present stochastic network models for computing the average lead times of make-to-order supply chains. In particular, we illustrate the use of static probabilistic networks for computing the lead times.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Information Sciences > Management Studies|
|Date Deposited:||13 Feb 2007|
|Last Modified:||19 Sep 2010 04:23|
Actions (login required)