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Author: search.filters.author.Marmolejo Saucedo, José AntonioSubject: search.filters.subject.Digital twins

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    The Use of Agent-Based Models Boosted by Digital Twins in the Supply Chain: A Literature Review
    (2019)
    Orozco-Romero, Areli
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    Marmolejo Saucedo, José Antonio
    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.
    Scopus© Citations 29  15  1
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    Design and Development of Digital Twins: a Case Study in Supply Chains
    (2020)
    Marmolejo Saucedo, José Antonio
    Digital twin technology consists of creating virtual replicas of objects or processes that simulate the behavior of their real counterparts. The objective is to analyze its effectiveness or behavior in certain cases to improve its effectiveness. Applied to products, machines and even complete business ecosystems, the digital twin model can reveal information from the past, optimize the present and even predict the future performance of the different areas analyzed. In the context of supply chains, digital twins are changing the way they do business, providing a range of options to facilitate collaborative environments and data-based decision making and making business processes more robust. This paper proposes the design and development of a digital twin for a case study of a pharmaceutical company. The technology used is based on simulators, solvers and data analytic tools that allow these functions to be connected in an integral interface for the company.
    Scopus© Citations 79  8  1
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    Improving a Manufacturing Process using Recursive Artificial Intelligence
    (2021)
    Marmolejo Saucedo, José Antonio
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    Romero Perea, Uriel Abel
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    Garrido Vaqueiro, Manuel
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    Robredo Hernández, Regina
    This work explores the improvements that can be made in the process of parametrization of discrete-event simulation models. A manufacturing process is modeled through queuing systems and alternative decisions to perform production, transport, and merchandise handling tasks. The use of recursive artificial intelligence is suggested to improve the quality of the parameters used in the simulation model. Specifically, a vector support machine is used for statistical learning. A relevant characteristic of the proposed model is the integration of different information technology platforms so that the simulation can be recursive. ©2021, IFIP International Federation for Information Processing.
    Scopus© Citations 2  11  2
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    A proposal for the supply chain design : a digitization approach
    (2018)
    Marmolejo Saucedo, José Antonio
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    Retana-Blanco, Brenda
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    Pedraza-Arroyo, Erika
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    The logistics network of an automotive company in Mexico, was analyzed to propose a better logistics network in the country to improve delivery times to customers. The network design considers elements of digitization of Greenfield Analysis and Network Optimization processes. Taking into account the information given by the company, it was possible to obtain optimal scenarios for better operation, which involved the construction of distribution centers throughout Mexico. © 2020 Jose Antonio Marmolejo-Saucedo et al., licensed to EAI.
    Scopus© Citations 3  34  1