Optimization of the Job Shop Scheduling Problem in Industry 4.0
| Autor: | Marjan Milošević, Veljko Aleksić, Sandra Milunović-Koprivica, Milan Vesković, Olga Ristić |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Lekin Industry 4.0 Job shop scheduling Computer science business.industry Tardiness Big data Scheduling (production processes) scheduling algorithm Cloud computing 02 engineering and technology Industrial engineering Job shop 020901 industrial engineering & automation First-come first-served Shifting bottleneck heuristic 8. Economic growth 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing industry 4.0 business optimization |
| Zdroj: | IMK-14-Istraživanje i razvoj (2020) 26(1):13-18 |
| ISSN: | 0354-6829 |
| Popis: | The Industry 4.0 trend has brought significant transformation in the manufacturing process through digitalization. In Intelligent Manufacturing Systems (IMS) there is an increase in the complexity of scheduling jobs on machines. The scheduling aims to collect data through the support of novel and emerging technologies such as: inclusion of machine sensors, cloud computing, artificial intelligence, big data analytics, scheduling software, etc. In this paper, we present an example of open-source job shop scheduling software (LEKIN) to solve real-time engineering problems in a manufacturing company. With using optimization algorithms and scheduling software there is likely to be a reduction of production costs and minimization of the total order completion time (make span). A test problem is running to evaluate the difference between the implementation of Shifting Bottleneck Heuristic (SBH) and some dispatching rules, such as Earliest Due Date (EDD), First Come First Served (FCFS), and Shortest Processing Time (SPT). The evaluation criteria used were the make span and the total weighted tardiness. The results have shown that the SBH outstripped the dispatching rules. |
| Databáze: | OpenAIRE |
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