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

Authors: Iskander Zouaghi; Samia Beldjoudi; Mourad Makaci

Addresses: Department of Industrial Engineering, Ecole Nationale Polytechnique, 10 Rue des Frères Oudek, El Harrach, 16200, Algiers, Algeria ' Department of Industrial Engineering, Ecole Nationale Polytechnique, 10 Rue des Frères Oudek, El Harrach, 16200, Algiers, Algeria ' Laboratoire LEGO, Université Bretagne Occidentale, 20 Av. Victor le Gorgeu, 29200, Brest, France

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.

Keywords: supply chain mapping; visibility; resilience; network theory-based mapping; geographic-based mapping; member-based mapping; BPMN; process-based mapping; digital twins; blockchain; supply chain adaptation.

DOI: 10.1504/IJBPSCM.2026.154574

International Journal of Business Performance and Supply Chain Modelling, 2026 Vol.16 No.2, pp.179 - 205

Received: 27 Sep 2024
Accepted: 01 Sep 2025
Published online: 06 Jul 2026 *

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