Stochastic Simulation: Theory and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 113
Special Issue Editors
2. Department of Statistics and Informatices, Universidad Nacional Agraria La Molina, 012 Av. La Molina, 15076 Lima, Peru
Interests: modelling and optimization; systems simulation; production and operations management
Special Issues, Collections and Topics in MDPI journals
Interests: business analytics; operations management; industrial and business statistics
Interests: operations management; industrial engineering techniques and methods; supply chain management; risk and crisis management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue of Mathematics entitled “Stochastic Simulation: Theory and Applications”.
Simulation, broadly understood as “computer imitation of the behavior of a system, using a (mathematical) model to explain the relevant characteristics of the system, in order to numerically evaluate the system's performance measures”, has long been recognized as a powerful tool for the design and analysis of existing and new systems.
Computer simulation has become a powerful tool for the analysis of complex systems in every engineering area, and the development of algorithms and the creation of software simulators, which use finite-element theory and discrete-event simulation, has made possible the analysis of multiple sophisticated scientific and industrial cases.
Simulation experiments using a stochastic-simulation model have long been used for the estimation of performance measures for risk assessment and mitigation. Stochastic simulation has been widely used for risk assessment in many areas, such as supply chain management, where risk measures are mainly related to shortages, the occurrence of catastrophes and costs incurred. Stochastic simulation has also been extensively used in the areas related to production planning to design products with high reliability, for example, for water distribution, for the design of integrated circuits or for the design of highly reliable products. One area of production planning where stochastic simulation is particularly important for risk mitigation is operations scheduling, where programs that meet delivery dates are especially important when using a digital twin under the framework of Industry 4.0. In this Special Issue, we invite manuscripts dealing with the theory and applications of stochastic simulation. Applications and results for both transient and steady-state simulations will be considered, and methodologies that assess the accuracy of the corresponding point estimators are especially welcome.
Topics of interest include, but not limited to, the following:
- Simulation-Based Optimization;
- Data Science for Simulation;
- Digital Twins and Industry 4.0;
- Markov Chain Monte Carlo Theory and Applications;
- Model Uncertainty and Robust Simulation;
- Simulation Input Analysis;
- Simulation Output Analysis;
- Computer Simulation of industrial and business processes;
- Simulation Applications: supervised learning in all areas, environmental sciences, climate sciences, biomedical sciences, chemical sciences and chemometrics, econometrics and finance, engineering design, agronomy and forestry sciences, energy, sustainable development, mining sciences, social web, information and communications technology, security, biometry, internet of things, natural disaster modelling.
Prof. Dr. David F. Muñoz
Prof. Dr. Federico Trigos
Dr. Jingzheng Ren
Guest Editors
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.
Keywords
- risk management
- data science
- simulation-based design
- simulation-based forecasting
- discrete-event simulation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
