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Analysis of the integration between operations management manufacturing tools with discrete event simulation

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Abstract

The purpose of this paper is to analyse the integration of discrete event simulation (DES) in operations management manufacturing tools. Due to the movement of the fourth industrial revolution (Industrie 4.0), the integration of manufacturing is a topic constantly discussed in many areas. Moreover, it presents great research and innovation opportunities. To achieve the objective of this study, a search was conducted using the main keywords found in papers related to manufacturing systems and operations management manufacturing tools. Also, academic databases were literature research to identify the keywords relevant to the study added to DES. We considered only articles from the last 8 years. At the end between the search, the integration between tools such as manufacturing execution system, enterprise resource planning, radio frequency identification, core manufacturing simulation data, e-Kanban with DES were analysed. Furthermore, it was observed that the tools cannot always be used separately, but in some cases, these tools should be used jointly to solve problems related to production systems. Another aspect observed was how the data collected in production systems are fed to the DES models. Through, it was possible to analyse an existing gap regarding how the data is used between DES and manufacturing systems, thereby enabling research development in this area.

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Authors and Affiliations

  1. Department of Manufacturing and Materials Engineering, State University of Campinas-UNICAMP, Rua Mendeleyev, 200, Cidade Universitária “Zeferino Vaz”, Barão Geraldo, Campinas, SP, Brazil

    Rodrigo Ferro, Robert Eduardo Cooper Ordóñez & Rosley Anholon

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  1. Rodrigo Ferro
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  2. Robert Eduardo Cooper Ordóñez
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  3. Rosley Anholon
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Correspondence to Rodrigo Ferro.

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Ferro, R., Ordóñez, R.E.C. & Anholon, R. Analysis of the integration between operations management manufacturing tools with discrete event simulation. Prod. Eng. Res. Devel. 11, 467–476 (2017). https://doi.org/10.1007/s11740-017-0755-2

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