In: Journal of Operations Research Society, Vol. 51, No. 10, pages 1158-1169. 2000.
Abstract: The paper investigates a dynamic modeling technique for analyzing supply chain networks using generalized stochastic Petri nets (GSPNs). The customer order arrival process is assumed to be Poisson and the service processes at the various facilities of the supply chain are assumed to be exponential. The proposed model takes into account both the procurement process and delivery logistics that exist between any two members of the supply chain. The performance of two production and control policies, the make-to-stock and the assemble-to-order systems, are compared in terms of total cost which is the sum of inventory carrying cost and cost incurred due to delayed deliveries. The decoupling point location problem in supply chains is formulated and solved as a total relevant cost (sum of inventory carrying cost and the delay costs) minimization problem. The framework of integrated GSPN-queueing modeling is used to solve the decoupling point location problem.
Keywords: GSPN-queueing systems, performance analysis, stochastic Petri nets, supply chains.