Stochastic Processes and Queuing Models in Operations Research, Logistics, and Inventory
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: closed (28 April 2025) | Viewed by 449
Special Issue Editor
Interests: applied probability; stochastic models; fluid models; inventory; SCM; queueing; reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Research on queueing systems with inventory control has captured much attention of researchers over the last decades. Nowadays, inventory models and logistic environment are characterized by an inconsistency and volatility in the flow of items in and out of the supply network. Although these issues have been studied for decades, volatile market conditions have increased the complexity of modeling and analyzing supply chains. Using tools from stochastic processes and queueing theory to derive the optimal policy and decision variables becomes necessary in order to increase the economical profit and to keep competitive.
The aim of this Special Issue is to provide the decision makers with tools in modelling and analyzing different problems of operation research, including (but not limited) logistics and inventory processes, reliability models, and health-care systems. We welcome advanced but simple and easy-to-implement techniques with the focus of linking between research and practice. Particular attention is devoted to applications of fluid processes, Lѐvy processes and Markov processes in logistics and inventory. All research must accompanied by applications, real-world motivations and managerial insights.
Dr. Yonit Barron
Guest Editor
Manuscript Submission Information
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Keywords
- inventory
- logistics
- applied probability
- stochastic processes
- queueing systems
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