@article{(Open Science Index):https://publications.waset.org/pdf/602,
	  title     = {Solving the Flexible Job Shop Scheduling Problem with Uniform Processing Time Uncertainty},
	  author    = {Nasr Al-Hinai and  Tarek Y. ElMekkawy},
	  country	= {},
	  institution	= {},
	  abstract     = {The performance of schedules released to a shop floor may greatly be affected by unexpected disruptions. Thus, this paper considers the flexible job shop scheduling problem when processing times of some operations are represented by a uniform distribution with given lower and upper bounds. The objective is to find a predictive schedule that can deal with this uncertainty. The paper compares two genetic approaches to obtain predictive schedule. To determine the performance of the predictive schedules obtained by both approaches, an experimental study is conducted on a number of benchmark problems.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {6},
	  number    = {4},
	  year      = {2012},
	  pages     = {848 - 853},
	  ee        = {https://publications.waset.org/pdf/602},
	  url   	= {https://publications.waset.org/vol/64},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 64, 2012},
	}