Stochastic models for analysis of supply chain networks

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. Compu...

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Bibliographic Details
Main Authors: Srinivasa Raghavan, N.R., Viswanadham, N.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Companies
Computer networks
Computer science
control theory
systems
Control theory. Systems
Electronic mail
Exact sciences and technology
Firm modelling
Logistics
Manufacturing systems
Operational research and scientific management
Operational research. Management science
Raw materials
Stochastic processes
Supply chain management
Supply chains
Vehicles
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Summary: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.
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2002.1025402