Mathematical Modeling and Optimization of Platform Supply Chain in the Digital Era: A Systematic Review

Xuhui Chen, Guanghui Cheng and Yong He ()
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Xuhui Chen: School of Economics and Management, Southeast University, Nanjing 210096, China
Guanghui Cheng: School of Economics and Management, Southeast University, Nanjing 210096, China
Yong He: School of Economics and Management, Southeast University, Nanjing 210096, China

Mathematics, 2025, vol. 13, issue 17, 1-33

Abstract: As supply chains rapidly digitize, platform-driven models have become central to global commerce, requiring sophisticated mathematical modeling for optimization. This systematic review comprehensively analyzes research across six critical technological domains in platform supply chains (PSCs): blockchain integration, Internet of Things applications, Industry 4.0 systems, cloud computing, live streaming commerce, and generative artificial intelligence. Our analysis finds that operational coordination and strategic decision-making under information asymmetry represent primary research focuses, with pricing strategies receiving predominant attention. Methodologically, game theory, particularly Stackelberg models, emerges as the dominant optimization framework across all domains. However, significant gaps remain in dynamic modeling capabilities, empirical validation of theoretical frameworks, and cross-technology integration. This review provides foundational insights into mathematical optimization techniques and highlights the critical need for incorporating stochastic approaches and real-world data to advance PSC management in the digital era.

Keywords: platform service; supply chain; mathematical modeling; decision optimization; digital technology; systematic literature review (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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