Special Issue on Operations and Statistical Research

Operational research (OR) encompasses the development and the use of a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queueing theory and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in the area of Operations and Statistical Research.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring Operations and Statistical Research. In this special issue, potential topics include, but are not limited to:

• Critical path analysis
• Generalized assignment problem
• Bayesian search theory
• Supply chain management
• Cutting stock problem
• Computational techniques related to decision making
• Statistical operations data analysis

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue - Operations and Statistical Research” should be chosen during your submission.

According to the following timetable:

Guest Editor:

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