Special Issue "Queue and Stochastic Models for Operations Research"
Deadline for manuscript submissions: 15 September 2020.
Interests: operations research; stochastic models; queues; performance analysis
We would like to invite you to submit your work to the Special Issue “Queue and Stochastic Models for Operations Research”. This Special Issue is seeking high-quality contributions in queues and related stochastic models arising from operations research.
Dr. Tuan Phung-Duc
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Stochastic models
- Matrix analytic methods
- Asymptotic analysis of queueing models
- Game theoretic analysis of queues
- Fluid and diffusion limits, large deviation analysis of queues
- Stochastic analysis of risk models
- Matching queues
- Multidimensional Markov chains
- Novel queueing models in applications
- Stochastic analysis of machine learning systems