APPLICATION OF MATHEMATICAL MODELING IN SUPPLY CHAIN MANAGEMENT: A REVIEW

Norazryana Binti Mat Dawi, Mohammad Akhtar and Hamidreza Namazi
Additional contact information
Norazryana Binti Mat Dawi: 525 West 8th Avenue, Vancouver, BC V5Z 1C6, Canada
Mohammad Akhtar: School of Business, Galgotias University, Greater Noida, Uttar Pradesh, India
Hamidreza Namazi: School of Engineering, Monash University, 47500 Subang Jaya, Selangor, Malaysia4Biomedical Signal & Image Processing Lab, Galgotias University, Greater Noida, Uttar Pradesh, India5Department of Informatics, Faculty of Science, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic

FRACTALS (fractals), 2025, vol. 33, issue 07, 1-14

Abstract: Mathematical modeling plays a critical role in modern supply chain management (SCM) by enabling optimization, forecasting, and informed decision-making across complex networks. This review synthesizes recent advancements in mathematical modeling across five key domains of SCM: demand forecasting, inventory control, logistics and distribution, sustainability, and the integration of emerging technologies. We explore a wide array of modeling techniques, including time-series analysis, stochastic models, optimization algorithms, and machine learning, highlighting their applications, strengths, and limitations. Special attention is given to the evolving roles of artificial intelligence (AI), Internet of Things (IoT), and digital twins in enhancing model responsiveness and adaptability. Despite these advancements, challenges remain in achieving model transparency, scalability, and seamless integration with real-time technologies such as IoT and digital twins. Future research should focus on developing more interpretable machine learning models, improving data governance, and fostering cross-domain collaboration to enhance decision-making across the supply chain. This review provides a foundational understanding while identifying key gaps and future pathways for innovation in mathematical modeling for supply chain management.

Keywords: Supply Chain Management; Mathematical Modeling; Optimization; Demand Forecasting; Sustainability (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218348X25300077
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:33:y:2025:i:07:n:s0218348x25300077

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218348X25300077

Access Statistics for this article

FRACTALS (fractals) is currently edited by Tara Taylor

More articles in FRACTALS (fractals) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().