Smart Manufacturing Scheduling With Edge Computing Using Multiclass Deep Q Network

• Published in: IEEE transactions on industrial informatics Vol. 15; no. 7; pp. 4276 - 4284
• Main Authors: Lin, Chun-Cheng, Deng, Der-Jiunn, Chih, Yen-Ling, Chiu, Hsin-Ting
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computer simulation; Decisions; Deep Q network; Dispatching; Edge computing; Factories; HyperText Markup Language; Industrial plants; Job shop scheduling; Job shops; Machine learning; Manufacturing; multiple dispatching rules; Production facilities; Production scheduling; Response time; Servers; Smart manufacturing; Task analysis

Manufacturing is involved with complex job shop scheduling problems (JSP). In smart factories, edge computing supports computing resources at the edge of production in a distributed way to reduce response time of making production decisions. However, most works on JSP did not consider edge computing...