Stochastic Modeling and Optimization in Operations Management
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 21
Editors
Interests: service operation management; stochastic operations and optimization; queueing economics; supply chain management under platform economy
Interests: supply chain management; supply chain finance; digital supply chain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of the digital economy, artificial intelligence and platform-based operations, operations management systems are facing increasing challenges arising from demand uncertainty, complex resource allocation and dynamic service processes. How to improve system efficiency and optimize operational decisions under uncertain environments has become a critical issue in operations management research. Stochastic modeling and optimization methods, with their strong capability to characterize complex uncertain systems, have demonstrated significant theoretical and practical value in areas such as queueing management, supply chain management, service operations, inventory control, dynamic pricing, platform governance, intelligent manufacturing and logistics systems.
This Special Issue, entitled “Stochastic Modeling and Optimization in Operations Management,” aims to bring together the latest research advances in stochastic system analysis and optimization decision-making in operations management. The issue seeks to promote interdisciplinary integration among stochastic theory, data-driven approaches and intelligent optimization techniques. We particularly encourage studies focusing on the modeling, analysis and optimization of operational systems under uncertainty, using methodologies such as stochastic processes, queueing theory, Markov decision processes, game theory, robust optimization, simulation optimization and machine learning to investigate resource allocation, service efficiency, behavioral decision-making and system resilience in complex operational settings.
Topics of interest include, but are not limited to, queueing systems and congestion management, supply chain coordination and inventory optimization, dynamic pricing and revenue management, digital platform operations and the sharing economy, AI-driven operational decision-making, behavioral operations and social interaction effects, collaborative optimization in manufacturing-service integration, green operations and sustainable management, resilient supply chains and risk control as well as stochastic optimization problems in healthcare, transportation and logistics systems. Both theoretical contributions and application-oriented empirical or case studies are highly welcome.
This Special Issue aims to provide a high-quality academic platform for researchers in operations management, management science, industrial engineering and data science, fostering innovative applications of stochastic modeling and optimization in digital and intelligent operational environments and offering valuable insights for the efficient, resilient and sustainable development of complex operational systems.
Prof. Dr. Tao Jiang
Prof. Dr. Lu Liu
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 250 words) can be sent to the Editorial Office for assessment.
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
- stochastic modeling
- operations management
- optimization
- queueing theory
- supply chain management
- dynamic pricing
- service operations
- platform economy
- robust optimization
- data-driven decision making
- artificial intelligence
- system resilience
- behavioral operations
- intelligent manufacturing
- sustainable operations
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.
