Simulation and Mathematical Programming Based Optimization

Dear Colleagues,

Numerous industries, including manufacturing, transportation, and mining, have reaped substantial benefits from implementing various optimization strategies in their daily operations over the past several decades. mathematical programming techniques have always received special consideration in making optimal decisions for discrete processes. Most approaches to mathematical programming, such as linear programming and integer programming, are constrained by the number of decision variables and constraints. To create a manageable mathematical model, it is necessary to make simplifying assumptions. Researchers from around the globe have been developing new strategies to circumvent this limitation. This Special Issue seeks to compile original research papers that present the most recent advancements and applications of mathematical programming techniques in various fields. In addition, the aforementioned optimization methods have limitations such as stochastic or unknown input parameters in the real world, which may result in suboptimal or infeasible solutions. In these instances, optimization and simulation can be combined. This strategy involves running a deterministic optimization model and a stochastic simulation model in alternation. In the simulation-based optimization method, optimization serves as the search technique that identifies the alternative space of a simulation model in order to locate solutions that contribute to the desired system performance(s). I also intend to collect original research papers on the most recent advancements and applications of simulation-based optimization methods in this Special Issue.

Best,

Dr. Masoud Soleymani Shishvan
Guest Editor

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 submissions that pass pre-check are 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 semimonthly 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 2600 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.

• mathematical programming
• optimization
• simulation-based optimization
• discrete process simulation modeling
• discrete processes
• linear programming (LP)
• integer programming (IP)
• mix-integer linear programming (MIP)
• goal programming
• multiple-criteria decision-making methods
• intelligent decision support systems
• optimization techniques
• production planning
• scheduling
• resource allocation
• supply chain management
• production management
• risk management
• decision analysis for sustainable production
• group decision making
• decision making
• hybrid decision-making analysis