Roadmap to digital supply chain resilience

Adnan Al-Banna, Robert E. Franzoi, Brenno C. Menezes, Ahad Al-Enazi, Simon Rogers, Jeffrey D. Kelly

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

Abstract

As supply chains evolve from local trading entities to global physical and virtual markets, today's organizations are privileged with enhanced access to unprecedented opportunities in volume, variety, deliver time, transportation mode, of resources and goods. However, given today's level of interdependence of these entities that permits reduced mismatches in their processes, such organizations are more susceptive to disruptions in their networks. Over the past decades, global economies have experienced several crises induced by irrepressible circumstances that are either human-influenced, such as geopolitical conflicts and cyber-attacks, or provoked by nature, such as natural disasters and pandemic outbreaks. Hence, organizations have been placing substantial emphasis on supply chain resilience (SCR), with the objective of mitigating the impact of unforeseen risks on their supply chains, logistics, and their subsequent consequences on cost control and revenue maximization. Conventional SCR relied on increased safety stock levels, partial order allocations, supplier's diversifications, among others. On contrary, next generation of resilient supply chain operations can be reached by the digital transformation of its elements into the SCR modeling and control. The objective of this paper is twofold. First, it introduces the role of the digital transformation, advanced analytics, automation, and augmentation of the SCR with the support of cyber-physical systems and security (CPSS) solutions from the industry 4.0 age. Second, it provides a structured view on artificial intelligence (AI) and internet of things (IoT) technologies, aiming to establish a robust, timely, and successful digital supply chain resilience (DSCR). We believe the discussion provided and provoked herein will aid organizations towards addressing proper digital capabilities for achieving higher levels of visibility and control, enhanced revenues, reduced costs, and improved supply chain resilience augmented by the power of digitalization, automation, and artificial intelligence.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages571-576
Number of pages6
DOIs
Publication statusPublished - Jan 2022

Publication series

NameComputer Aided Chemical Engineering
Volume49
ISSN (Print)1570-7946

Keywords

  • Supply chain management
  • artificial intelligence
  • digital supply chain resilience
  • digital transformation
  • internet of things

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