Add to ORKGIn 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
This paper focuses on a possible approach for supply systems modeled using queueing networks. Accord...
Globalization, product proliferation, and fast product innovation have significantly increased the c...
International audienceIn this paper, a supply chain (four-input three-stage queuing network) receive...
In this paper, we investigate use of stochastic network modeling techniques for analyzing supply cha...
Supply chain networks are formed out of complex interactions amongst several companies whose aim is ...
Supply chain networks are formed from complex interactions between several companies whose aim is to...
We investigate dynamic modeling techniques for analyzing supply chain networks using generalized sto...
In this paper we investigate dynamic modeling techniques for analyzing supply chain networks using g...
AbstractIn this paper, a supply chain is represented as a two-input, three-stage queuing network. An...
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks usi...
This paper considers a Monte Carlo simulation based method for estimating cycle stocks (production l...
The variability of the arrival and service processes has a strong impact on the performance of suppl...
In this article, we review the research state of the bullwhip effect in supply chains with stochasti...
Lead times and their nature have received limited interest in literature despite their large impact ...
In this paper, a stochastic approach, based on queueing networks, is analyzed in order to model a su...
This paper focuses on a possible approach for supply systems modeled using queueing networks. Accord...
Globalization, product proliferation, and fast product innovation have significantly increased the c...
International audienceIn this paper, a supply chain (four-input three-stage queuing network) receive...
In this paper, we investigate use of stochastic network modeling techniques for analyzing supply cha...
Supply chain networks are formed out of complex interactions amongst several companies whose aim is ...
Supply chain networks are formed from complex interactions between several companies whose aim is to...
We investigate dynamic modeling techniques for analyzing supply chain networks using generalized sto...
In this paper we investigate dynamic modeling techniques for analyzing supply chain networks using g...
AbstractIn this paper, a supply chain is represented as a two-input, three-stage queuing network. An...
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks usi...
This paper considers a Monte Carlo simulation based method for estimating cycle stocks (production l...
The variability of the arrival and service processes has a strong impact on the performance of suppl...
In this article, we review the research state of the bullwhip effect in supply chains with stochasti...
Lead times and their nature have received limited interest in literature despite their large impact ...
In this paper, a stochastic approach, based on queueing networks, is analyzed in order to model a su...
This paper focuses on a possible approach for supply systems modeled using queueing networks. Accord...
Globalization, product proliferation, and fast product innovation have significantly increased the c...
International audienceIn this paper, a supply chain (four-input three-stage queuing network) receive...