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Analysis of the integration between operations management manufacturing tools with discrete event simulation
- Source :
- Production Engineering. 11:467-476
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
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.
- Subjects :
- 0209 industrial biotechnology
Computer science
business.industry
Mechanical Engineering
Integrated Computer-Aided Manufacturing
02 engineering and technology
Industrial and Manufacturing Engineering
Manufacturing engineering
020901 industrial engineering & automation
Computer-integrated manufacturing
Computer-aided manufacturing
Process development execution system
0202 electrical engineering, electronic engineering, information engineering
Radio-frequency identification
020201 artificial intelligence & image processing
Operations management
Discrete event simulation
business
Enterprise resource planning
Manufacturing execution system
Subjects
Details
- ISSN :
- 18637353 and 09446524
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Production Engineering
- Accession number :
- edsair.doi...........0d86bcb26960e75da40557667d224b1c
- Full Text :
- https://doi.org/10.1007/s11740-017-0755-2