Application of Ontology in Event-Driven Job-Shop Scheduling Problems-Reference-Cited by-同舟云学术

Application of Ontology in Event-Driven Job-Shop Scheduling Problems

Published:2015-07 Issue: Volume:775 Page:458-463
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Xu Xiang Min¹,Yao Xi Fan¹

Affiliation:

1. South China University of Technology

Abstract

Aiming at the flexible flow-shop scheduling problem of cloud manufacturing, this paper introduces event driven concept and apply ontologies to Job-Shop scheduling problem FT46. The inference of ontology models allows the system to gain the dynamic information of workshop, and then rule engine is used to match event patterns to optimize the job shop scheduling problem.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.775.458.pdf

Reference13 articles.

1. Huang Yingjie, Yao Xifan, Yan Liang, et al. Job-Shop Scheduling Based on Analytical Target Cascading. Journal of South China University of Technology (Natural Science Edition), 2010, 38(06): 128-133.

2. Yang Yi. Event-Driven Job-Shop Scheduling for Cloud Manufacturing, Master Thesis, South China University of Technology, Guangzhou, (2014).

3. Liu Qingtao. Research on Scheduling for Remanufacturing System, Ph.D. Thesis, Chang`an University, Xi`an, (2011).

4. Dai Xuefeng, Zhao Lina, Guo Yuan. A hierarchical SLAM algorithm characterized with event-driven property. ICIC Express Letters, 2010, 4(5): 1619-1624.

5. Ammon V R, Ertlmaier T, EtzionO, et al. Integrating complex events for collaborating and dynamically changing business processes. Lecture Notes in Computer Science, 2010, 6275: 370-384.

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