Digital Twins, Stress Tests, and the Need for Resilient Supply Chains

Digital Twins, Stress Tests, and the Need for Resilient Supply Chains

Ronak R. Tiwari, Vishnu C. R., R. Sridharan, P. N. Ram Kumar
Copyright: © 2023 |Pages: 16
DOI: 10.4018/978-1-7998-9220-5.ch180
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Supply Chain 4.0 strongly stresses on the viability of supply chains. A viable supply chain is one that is agile, resilient, and sustainable. This article focuses on the resilience aspect of supply chains. The article starts with a brief introduction to the term ‘digital twin' and how it can help supply chains of the future. The next section begins with an application of digital twin in conducting ‘stress tests' on supply chains and challenges associated with doing that. The last section describes the ideas of stress tests and digital twins as important enablers for building resilience in supply chains. Finally, the article concludes with a discussion on directions for future research and some recent metrics to quantify the resilience of a supply chain.
Chapter Preview
Top

Introduction

The human civilization has evolved from the invention of the wheel to self-driving cars. While technology has made our lives easier, it has also made the world around us more complex to maintain. For instance, the scope of developing a new automobile now, is not only to make it functional, but also to make it safer, appealing, and cost effective at the same time. Data, Internet-of-Things (IoT), Sensors, Computers (DISCO) form a set of essential tools which can help us maintain and better manage this complexity. Industry 4.0 is a term given to indicate the direction in which the future of the industry lies. It essentially stresses on use of DISCO to build a world that is more sustainable, resilient and agile.

The focus of this article is on Supply Chains (SCs). SCs undoubtedly form an integral part of the modern economies. Last two decades have particularly tested the SCs in every aspect. Issues like Climate change have become more evident with frequent natural disasters persistently occurring in different parts of the world. With SCs getting more global, diverse, and interdependent they have become prone to disruption risks from all over the globe. The challenge for modern SCs is therefore to be able to recover from a disruption, back to its original state, with least impact possible. This ability is defined as resilience in SCs (Christopher & Peck, 2004). The word resilience is borrowed from ecology, which refers to a system’s capacity to resist damage and recover after a perturbation or disruption (Peck, 2005). The audience from material science/engineering background may find acquaintance with the term too, where it is described as a material’s property to absorb some amount of energy and return back to its original form. It could be argued that incorporating resilience aspects in new supply network is probably easier compared to altering the existing network which is already complex, and a result of years of relationship and trust built with suppliers. Hence, the bigger question that organizations are looking an answer for is, how to build resilience in existing SC networks? Or for that matter how to asses an organization’s current state of resilience?

One of the key ideas promulgated in risk management, after the 2008 financial crisis, was the notion of ‘Stress Tests’ (Bank Stress Test, 2021). Stress tests in banking imply that the banks are exposed to a standard set of extreme scenarios, and the banks are assessed on their ability to withstand these events. The banks which fail the stress test are accordingly guided to shape their strategy. The practice of stress tests which originated with banks has been adapted and used in many different fields. After the Covid outbreak especially, many governments are considering stress testing their critical SCs (Tausche, 2021). The motivation for stress testing a SC is not to build an invincible SC, but to point out the weak links in the existing network. Identification of such vulnerabilities using stress tests and strengthening those weak links could be an important step towards SC resilience. For example, the disruptions like natural disasters, or pandemics are extremely difficult to predict, but these events can severely impair the recoverability of a SC. Fortifying each node with additional inventory, or multiple backup sources can kill the efficiency of the business, and therefore, an imperative is to use data to continually monitor potential threats in the network using stress-testing. Hence, Stress-testing can push the momentum towards data-driven and proactive risk management.

Key Terms in this Chapter

Disruption: Disruption is defined as a complete facility stoppage.

Digital Twins: Digital twins refer to a connected digital model or a digital replica of a real-world system.

Digitalization: Digitalization refers to the shift from paper-based transactions to computer based digital transactions.

Supply Chain Resilience: Supply chain resilience is an attribute of supply chains to be able to recover back from disruptions to a more desirable state or the same state.

Ripple Effects in Supply Chains: Ripple effects in supply chains are defined as the propagation of disruptions to other dependent nodes across the network.

Supply Chain Stress Test: Supply chain stress tests are defined as techniques to assess the ability of the supply chain to meet demand with supply, in the face of disruptions.

Fill Rate: Percentage of demand met out of total demand observed is called fill rate.

Supply Chain: Supply chain or a supply chain network refers to all the entities who collaborate to meet the demand with supply. Right from the raw material suppliers to the last mile delivery vans forms a part of the supply chain network.

Complete Chapter List

Search this Book:
Reset