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The Scientific World Journal
Volume 2014, Article ID 519520, 19 pages
http://dx.doi.org/10.1155/2014/519520
Research Article

MIP Models and Hybrid Algorithms for Simultaneous Job Splitting and Scheduling on Unrelated Parallel Machines

Department of Industrial Engineering, Uludag University, Gorukle Campus, 16059 Bursa, Turkey

Received 19 November 2013; Accepted 29 December 2013; Published 26 February 2014

Academic Editors: J. A. Diaz and M. Rǎdulescu

Copyright © 2014 Duygu Yilmaz Eroglu and H. Cenk Ozmutlu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Duygu Yilmaz Eroglu, Burcu Caglar Gencosman, Fatih Cavdur, and H. Cenk Ozmutlu, “Introducing the MCHF/OVRP/SDMP: Multicapacitated/Heterogeneous Fleet/Open Vehicle Routing Problems with Split Deliveries and Multiproducts,” The Scientific World Journal, vol. 2014, pp. 1–14, 2014. View at Publisher · View at Google Scholar
  • Hao-Chin Chang, and Tung-Kuan Liu, “Optimisation of distributed manufacturing flexible job shop scheduling by using hybrid genetic algorithms,” Journal of Intelligent Manufacturing, 2015. View at Publisher · View at Google Scholar
  • D. Yilmaz Eroglu, and H. C. Ozmutlu, “Solution method for a large-scale loom scheduling problem with machine eligibility and splitting property,” The Journal of The Textile Institute, pp. 1–12, 2017. View at Publisher · View at Google Scholar