Bridging Project Management and Supply Chain Management via Optimization Method: Scenarios, Technologies, and Future Opportunities

Liwen Zhang, Wanyang Zhao, Mingjuan Fang, Keke Yuan, Sijie Cheng, Wenjia Jia and Libiao Bai ()
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Liwen Zhang: School of Economics and Management, Chang’an University, Xi’an 710064, China
Wanyang Zhao: School of Economics and Management, Chang’an University, Xi’an 710064, China
Mingjuan Fang: School of Economics and Management, Chang’an University, Xi’an 710064, China
Keke Yuan: School of Economics and Management, Chang’an University, Xi’an 710064, China
Sijie Cheng: School of Economics and Management, Chang’an University, Xi’an 710064, China
Wenjia Jia: School of Economics and Management, Chang’an University, Xi’an 710064, China
Libiao Bai: School of Economics and Management, Chang’an University, Xi’an 710064, China

Mathematics, 2025, vol. 13, issue 21, 1-60

Abstract: Organizations increasingly face challenges in aligning project management and supply chain management, as project success relies on reliable supply chains while supply chain resilience hinges on effective project coordination. Despite the growing recognition of this interdependence, research remains fragmented, with most studies treating PM and SCM in isolation, limiting systematic theorization and practical guidance for integration. Addressing this gap, this review examines how optimization methods can facilitate PM–SCM integration. Through a comprehensive bibliometric analysis, incorporating co-citation, keyword co-occurrence, and cluster analysis, the study maps the intellectual structure, thematic evolution, and diverse applications of optimization within both domains. The findings uncover key trends, showing that optimization provides a methodological foundation for managing complexity and uncertainty across diverse integration scenarios, including project scheduling, resource allocation, and supply chain coordination. It further reveals that emerging technologies extend these optimization approaches by enabling real-time prediction, improved transparency, and adaptive decision-making. Theoretically, the study reframes PM and SCM as interdependent components of an adaptive system, offering a concrete and analytically tractable framework for operationalizing integration. Practically, it outlines strategies for strengthening cross-domain coordination and risk management through optimization-enabled solutions. By consolidating fragmented research, this review not only synthesizes the evolution of optimization in PM–SCM contexts but also identifies critical future opportunities, emphasizing the development of scenario-specific models, technology-driven integration mechanisms, and resilience-oriented strategies to enhance performance in project-intensive settings.

Keywords: project management; supply chain management; optimization methods; bibliometric analysis; management integration (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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