Data Mining Based Approach for Jobshop Scheduling-Reference-Cited by-同舟云学术

Data Mining Based Approach for Jobshop Scheduling

Published:2013-12-03 Issue: Volume: Page:761-771
ISSN:
Container-title:Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)
language:
Short-container-title:

Author:

Wang Yan-hong,Zhang Ye-hong,Yu Yi-hao,Zhang Cong-yi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40060-5_73

Reference15 articles.

1. Garey MR, Johnson DS, Sethi R (1976) The complexity of flow shop and job shop scheduling. Math Oper Res 1(2):117–129

2. Pruhs K, Sgall J, Torng E (2004) Online scheduling. In: Leung JYT (ed) Handbook of scheduling: algorithms, models and performance analysis. Chapman & Hall/CRC, Boca Raton

3. Pinedo ML (2008) Scheduling: theory, algorithms, and systems. Springer, New York, pp 1–6, ch.1

4. Shahzad A, Mebarki N, IRCCyN I (2010) Discovering dispatching rules for job shop scheduling problem through data mining. In: The 8th international conference of modeling and simulation, Hammamet

5. Harding JA, Shahbaz M, Srinivas S, Kusiak A (2006) Data mining in manufacturing: a review. J Manuf Sci Eng (ASME) 128(4):969–976

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Literature review on using data mining in production planning and scheduling within the context of cyber physical systems;Journal of Industrial Information Integration;2022-07

2. Using intelligent technology and real-time feedback algorithm to improve manufacturing process in IoT semiconductor industry;The Journal of Supercomputing;2020-10-21

3. Data mining–based disturbances prediction for job shop scheduling;Advances in Mechanical Engineering;2019-03

4. Methods of Data Mining for Quality Assurance in Glassworks;Collaborative Networks and Digital Transformation;2019

5. Improved Data Analysis, a Step Towards Factory 4.0 - A Preliminary Study in a Car Assembly Plant;Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety;2018