Multi-Objective Decision Making in Supply Chain Management Under Uncertainty
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 2549
Special Issue Editors
Interests: multi-criteria evaluation method; technological integration; marketing integration; transport management; supply chain
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In order to study supply chain management at a global level, effectively managing the development of logistics and transport information technologies is necessary. The supply chain includes price fluctuations, climate change risks, geopolitical changes, or pandemic consequences, and the resulting data and information and the coordination of materials/stocks are most often associated with the transportation service of materials (products). It should be emphasized that innovative technologies implemented in supply chain management have a more effective impact on service provision if the information transmitted by technological development is compatible and interacts with cooperating companies. Since logistics companies are involved in supply chain management, innovations in supply chain technologies can be classified as random optimal management problems. In this case, the problems arising in supply chain management can be analyzed using optimal control and dynamic programming methods.
The journal topic “Multi-Objective Decision Making in Supply Chain Management Under Uncertainty” can be explored as a relevant interdisciplinary field that combines operations management, decision theory, logistics, and data analysis. Researchers might examine how various uncertainty factors—such as geopolitical changes, pandemics, fluctuations in raw material prices, or climate risks—impact decision making in supply chains. Articles may focus on the application of multi-objective optimization methods to address conflicting goals, such as cost reduction, delivery time minimization, sustainability, and service quality. Additionally, studies may present modeling approaches, scenario analysis, or artificial intelligence-based solutions that enable more effective supply chain management in a dynamic environment. This topic opens up opportunities for research on the practical application of decision support systems and the analysis of best practices in both local and global contexts.
We invite submissions that examine the application of data-driven modeling in various contexts, including but not limited to:
- Analysis of the impact of uncertainty factors on supply chain management.
- Analysis of changes in raw material price fluctuations.
- Analysis of the application of multi-objective optimization methods in the supply chain management process.
- Analysis of the impact of artificial intelligence-based solutions in supply chain management.
- Analysis of potential modeling methods for supply chain management.
- Analysis of decision support systems.
Dr. Kristina Vaiciute
Dr. Aušra Katinienė
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. Systems is an international peer-reviewed open access monthly 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 2400 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
- decision support systems
- decision making
- uncertainty factors
- modeling
- modeling methods
- empirical research
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