International audienceIn this paper, a supply chain (four-input three-stage queuing network) receives uniformly distributed orders from clients. An input order is represented by two stochastic variables, occurrence time and the quantity of items to be delivered. The objective of this work is to compute the minimum response time, and thus the average number of items (optimum capacity) that can be delivered with this response time. Performance measures such as average queue lengths, average response times, and average waiting times of the jobs in the supply chain, and in the equivalent single-server network are derived, plotted and discussed
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks usi...
A multi-server queueing system, that is loaded continuously in certain periods of time and which fun...
AbstractIn this paper, a supply chain is represented as a two-input, three-stage queuing network. An...
International audienceIn this paper, an industrial system is represented as a 2-input, three-stage q...
Supply chain networks are formed from complex interactions between several companies whose aim is to...
Supply chain networks are formed out of complex interactions amongst several companies whose aim is ...
Manufacturing supply chains are formed out of complex interconnections among several vendors, manuf...
The purpose of this tutorial is to survey queueing networks, a class of stochastic models extensivel...
In this paper, we investigate use of stochastic network modeling techniques for analyzing supply cha...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
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...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks usi...
A multi-server queueing system, that is loaded continuously in certain periods of time and which fun...
AbstractIn this paper, a supply chain is represented as a two-input, three-stage queuing network. An...
International audienceIn this paper, an industrial system is represented as a 2-input, three-stage q...
Supply chain networks are formed from complex interactions between several companies whose aim is to...
Supply chain networks are formed out of complex interactions amongst several companies whose aim is ...
Manufacturing supply chains are formed out of complex interconnections among several vendors, manuf...
The purpose of this tutorial is to survey queueing networks, a class of stochastic models extensivel...
In this paper, we investigate use of stochastic network modeling techniques for analyzing supply cha...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
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...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
We study a queueing network with a single shared server that serves the queues in a cyclic order. Ex...
In this paper, we investigated a dynamic modelling technique for analysing supply chain networks usi...
A multi-server queueing system, that is loaded continuously in certain periods of time and which fun...