NDLI: Performance modeling of supply chains using queueing networks

Content Provider	IEEE Xplore Digital Library
Author	Viswanadham, N. Srinivasa Raghavan, N.R.
Copyright Year	2001
Description	Author affiliation: Dept. of Mech. & Production Eng., Nat. Univ. of Singapore, Singapore (Viswanadham, N.)
Abstract	Supply chain networks are formed out of complex interactions amongst several companies whose aim is to produce and deliver goods to the customers at the time and place specified by them. Computing the total lead time for customer orders entering such a complex network of companies is an important exercise. In this paper, we present analytical models for evaluating the average lead times of make-to-order supply chains. In particular, we illustrate the use of fork-join queueing networks to compute the mean and variance of the lead time. The existing literature on approximate methods of analysis of fork-join queueing systems assume heavy traffic and require tedious computations. We present two applications of a tractable approximate analytical method for lead time computations in a class of fork-join queueing systems. For the case where the arrivals are deterministic and service times are normally distributed, we present an easy to use approximate method. Specifically, we illustrate the use of the above method in setting service levels in assemble-to-order type supply chains.
Sponsorship	IEEE Robotics & Autom. Soc
Starting Page	529
Ending Page	534
File Size	583661
Page Count	6
File Format	PDF
ISBN	0780365763
ISSN	10504729
DOI	10.1109/ROBOT.2001.932604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Supply chains Computer networks Manufacturing processes Pulp manufacturing Virtual manufacturing Raw materials Supply chain management Queueing analysis Computer aided manufacturing Computer interfaces
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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