Modeling production disorder: Procedures for digital twins of flexibility-driven manufacturing systems

Anis Assad Neto, Elias Ribeiro da Silva, Fernando Deschamps, Laercio Alves do Nascimento Junior and Edson Pinheiro de Lima

International Journal of Production Economics, 2023, vol. 260, issue C

Abstract: While the achievement of mix flexibility is a key driver of competitive advantage for a manufacturing organization, it also represents a source of disruption on the shop floor that may compromise managers' ability to diagnose problems, predict behavior, and make decisions adequately. Given this challenge, the digital twin emerges as a potential tool to reestablish managers’ operational visibility. Its architecture allows for a manufacturing system model to be continuously updated and for management support services to be promptly delivered. Although some studies explore the use of the digital twin to solve specific flexibility-related challenges, the literature lacks a normative and systematic approach to guide the application of this technological architecture in a comprehensive set of flexibility scenarios. To address this gap, based on the normative knowledge acquired from the literature and subject-matter experts, we present procedures to design, implement, and use the digital twin within organizations that suffer flexibility-driven disruptions. We demonstrate the application of these procedures through a case in a large automotive parts manufacturer. Results show that the procedures effectively operationalize a digital twin architecture aimed at contributing to the achievement of a flexible production strategy.

Keywords: Digital twin; Simulation; Flexible manufacturing systems; Internet-of-things; Smart manufacturing; Cyber-physical systems (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:260:y:2023:i:c:s0925527323000786

DOI: 10.1016/j.ijpe.2023.108846

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