Mathematical Models and Methods for Supply Chain and Operations Research

Dear Colleagues,

The research on mathematical models and methods for supply chain and operations boasts a rich history in the scholarly literature, characterized by well-known basic models that have undergone continuous refinement over the years to enhance their performance across various domains such as strategic location and layout, tactical planning, operational routing and scheduling, and inventory control, among others.

Over the last few decades, there has been a notable shift in focus towards addressing new challenges related to sustainability, reverse logistics, CO₂ emissions, energy consumption, the integration of financial factors, resilience amidst uncertainties, and increasingly complex systems.

New mathematical methods must integrate uncertainties and aspects of Industry 4.0 to enhance their efficiency and improve responses in supply chain and operations management. These emerging issues necessitate the identification of new variables, constraints, and performance indicators, thereby driving the need for the development of novel mathematical models and methods to tackle these evolving complexities.

This Special Issue aims to showcase recent works (theoretical breakthroughs, industrial cases, or reviews) on mathematical models and methods.

Dr. Matthieu Godichaud
Dr. Aghelinejad Mohammadmohsen
Guest Editors

Manuscript Submission Information

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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 (linear, non-linear, multi-objective)
• supply chain optimization
• simulation, statistical, and sensitivity analysis
• strategic, tactical, and operational planning
• operational routing and scheduling problem
• inventory control
• sustainability, CO₂ emissions, and energy consumption
• reverse logistics
• financial aspects
• resilience