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  4. The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A Literature Review
 
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The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A Literature Review

Journal
Advances in Intelligent Systems and Computing
Intelligent Computing and Optimization
ISSN
2194-5357
2194-5365
Date Issued
2019
Author(s)
Orozco-Romero, Areli
Facultad de Ingeniería - CampCM  
Arias Portela, Claudia Yohana  
Facultad de Ingeniería - CampCM  
Marmolejo Saucedo, José Antonio
Facultad de Ingeniería - CampCM  
Type
Resource Types::text::book::book part
DOI
10.1007/978-3-030-33585-4_62
URL
https://scripta.up.edu.mx/handle/123456789/4126
Abstract
Supply chain management has become an essential and integral part of business, it allows to reach out company’s success and customer satisfaction because it has the power to boost customer service, reduce operating costs and improve the financial standing of a company by keeping and improving competitive advantages. In the current market with a fiercer competition, shorter product life cycles, changes in technologies, and increasingly interconnected economies; supply chain management is boosted by means of mind-boggling technological innovations like Digital Twins and Agent-Based Model. Since supply chains are now building with increasingly complex and collaborative interdependencies, Agent-Based Models are an extremely useful tool when representing such relationships, to obtain a formal and more simplified description of a system (that can be as complex as the relationships between the agents of all the supply chain, from the supplier, the manufacturer, to the distributor of a product or service) and as an optimization technique for mitigation of risk. While Digital Twins are new solutions elements for enable real-time digital monitoring and control or an automatic decision maker with a higher efficiency and accuracy. © 2020, Springer Nature Switzerland AG.
Subjects

Agent-based modeling

Digital twins

Supply chain

Autonomous agents

Competition

Computational methods...

Customer satisfaction...


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