Smart Manufacturing Scheduling Approaches—Systematic Review and Future Directions
| Autor: | Andre Dionisio Rocha, Duarte Alemão, Jose Barata |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
scheduling requirements Computer science Scheduling (production processes) 02 engineering and technology lcsh:Technology Manufacturing scheduling lcsh:Chemistry 020901 industrial engineering & automation Order (exchange) 0202 electrical engineering electronic engineering information engineering General Materials Science smart manufacturing Adaptation (computer science) lcsh:QH301-705.5 Instrumentation Smart manufacturing Fluid Flow and Transfer Processes Forcing (recursion theory) lcsh:T Process Chemistry and Technology cyber-physical production systems General Engineering intelligent manufacturing systems Industrial engineering lcsh:QC1-999 Computer Science Applications Core (game theory) lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Factory (object-oriented programming) 020201 artificial intelligence & image processing manufacturing scheduling lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 11, Iss 2186, p 2186 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11052186 |
| Popis: | The recent advances in technology and the demand for highly customized products have been forcing manufacturing companies to adapt and develop new solutions in order to become more dynamic and flexible to face the changing markets. Manufacturing scheduling plays a core role in this adaptation since it is crucial to ensure that all operations and processes are running on time in the factory. However, to develop robust scheduling solutions it is necessary to consider different requirements from the shopfloor, but it is not clear which constraints should be analyzed and most research studies end up considering very few of them. In this review article, several papers published in recent years were analyzed to understand how many and which requirements they consider when developing scheduling solutions for manufacturing systems. It is possible to understand that the majority of them are not able to be adapted to real systems since some core constraints are not even considered. Consequently, it is important to consider how manufacturing scheduling solutions can be structured to be adapted effortlessly for different manufacturing scenarios. |
| Databáze: | OpenAIRE |
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