Supply chain mapping for enhanced visibility and resilience: a multi-industry comparative study of best practices and emerging technologies

Iskander Zouaghi, Samia Beldjoudi and Mourad Makaci ()
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Iskander Zouaghi: CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes
Samia Beldjoudi: Ecole Supérieure de Technologies Industrielles Annaba
Mourad Makaci: LEGO - Laboratoire d'Economie et de Gestion de l'Ouest - UBS - Université de Bretagne Sud - UBO EPE - Université de Brest - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO EPE - Université de Brest - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]

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Abstract: Supply chain mapping is a strategic tool used to visualise and analyse the flow of materials, information, and processes across networks to enhance visibility and resilience. This study provides an integrated review of key mapping typologies, including value stream mapping (VSM), member-based mapping, geographic-based mapping, network theory-based mapping, simulation-based mapping, closed-loop diagrams, process-based mapping (BPMN), and Petri Nets Mapping. The research explores how these tools, when combined with technologies such as Digital Twins, Blockchain, and Artificial Intelligence, strengthen real-time monitoring, traceability, and adaptive risk management. A comparative analysis across the automotive, electronics, pharmaceutical, consumer goods, retail, food and beverage, and energy sectors reveals how mapping practices are adapted to industry-specific complexities. The findings demonstrate that combining advanced mapping methods with digital enablers is essential for developing transparent, agile, and resilient supply chains in an increasingly uncertain environment.

Date: 2026
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Published in International Journal of Business Performance and Supply Chain Modeling , 2026, 16 (2), pp.179-205. ⟨10.1504/IJBPSCM.2026.154574⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05686253

DOI: 10.1504/IJBPSCM.2026.154574

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