Performance Analysis of Make to Stock Supply Chain using Disctere-Time Queueing

Jain, Sandeep and Raghavan, Srinivasa NR (2002) Performance Analysis of Make to Stock Supply Chain using Disctere-Time Queueing. In: International Conference on Operations Research, Klagenfurt,Austria, 2-5 September,2002, Klagenfurt, Austria, pp. 1-6. (In Press)

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Abstract

Manufacturing supply chains are formed out of complex interconnections among several vendors, manufacturing facilities, warehouses, retailers and logistics providers. In this paper, we concern ourselves with a Supply Chain Network (SCN) consisting of single manufacturing plant, one warehouse and several retail outlets. We present a discrete-time queManufacturing supply chains are formed out of complex interconnections among several vendors, manufacturing facilities, warehouses, retailers and logistics providers. In this paper, we concern ourselves with a Supply Chain Network (SCN) consisting of single manufacturing plant, one warehouse and several retail outlets. We present a discrete-time queueing model which can be used for evaluating the performance of a given SCN which processes customer orders at discrete time intervals. It can also be used for determining the optimal inventory level at the warehouse that minimizes total cost of carrying inventory and back order cost associated with serving orders in the backlog queue, subject to service level constraint in terms of expected waiting time for customers. The model is analyzed by using discrete-time queues. We use CONWIP as the inventory control model.ueing model which can be used for evaluating the performance of a given SCN which processes customer orders at discrete time intervals. It can also be used for determining the optimal inventory level at the warehouse that minimizes total cost of carrying inventory and back order cost associated with serving orders in the backlog queue, subject to service level constraint in terms of expected waiting time for customers. The model is analyzed by using discrete-time queues. We use CONWIP as the inventory control model.

Item Type:	Conference Paper
Publisher:	Springer Varleng
Keywords:	Supply chain management;inventory optimization;queueing
Department/Centre:	Division of Interdisciplinary Sciences > Management Studies
Date Deposited:	13 Feb 2007
Last Modified:	19 Sep 2010 04:12
URI:	http://eprints.iisc.ac.in/id/eprint/95

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