Abstract
The supply chains shaping their distribution networks become more diverse as companies respond to global markets’ stringent criteria. This is also counterproductive to the visibility of the supply chain within the company and can adversely affect the organization’s core business. This paper attempts to evaluate how organizations can benefit from introducing Digital Twins to enhance their logistics supply network visibility. Additionally, deployment issues and technologies supporting Digital Twins were reviewed. This study used ATLAS.ti 9 software tools to save, classify, and evaluate the data for this analysis to systematically review the literature. We reviewed, compiled, and sorted papers from 227 publications for this article and then recognized 104 as critical to the work scope; this analysis’ quest date was set from 2002 to 2021. This article represents the first attempt at dealing with the issue of supply chain visibility through the Digital Twins in the logistics field. The research outcomes found that Digital Twins would help companies develop predictive metrics, diagnostics, projections, and physical asset descriptions for their logistics. This study also suggested some steps to overcome the challenges in implementing a Digital Twins in the logistics industry. For researchers, this review offers the possibility to unify and expand existing solutions and to identify links and interfaces that are still needed. As for managerial implications, this study can be used to identify future strategies and technologies to fulfil certain logistics tasks and develop new technological solutions for current and future demands.
Highlights
The cornerstone of an organization is a working logistics supply chain
In order to increase the visibility of the supply chain, it soon becomes obvious that providing functional Digital Twins integrated within a company’s logistical supply chain will prove very useful
We begin the task of identifying the main characteristics of a Digital Twins supply chain that will educate future work about its ability and how it might move beyond the visualization and analytical capabilities provided by current frameworks for supply chain system design and simulation
Summary
The cornerstone of an organization is a working logistics supply chain. Organizations whose core industries are based on internal and external logistics development play a crucial role in ensuring that the organization’s core business will continue without halting [1]. Based on the particular mission at hand, the methods of doing so may differ considerably. These activities are becoming more challenging for many companies as global economies impose higher consumer customization expectations. The method of obtaining information about the supply chain’s internal workings is becoming more complicated as distribution supply chains grow more dynamic. Ensuring maximum control of the supply chain grants access to a variety of evidence that can act as a foundation for business choices. It offers greater capacity to adapt rapidly to developments and make fast operating decisions in real-time based on changes in demand or production [6,7]
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