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Title: Scheduling jobs with simultaneous considerations of controllable processing times and learning effect
Authors: Li, L
Yan, P
Ji, P 
Wang, JB 
Issue Date: Jun-2018
Source: Neural computing and applications, June 2018, v. 29, no. 11, p. 1155-1162
Abstract: This paper considers a scheduling problem with general job-dependent learning curves and controllable processing times on a single machine. The objective is to determine the optimal compressions of the processing times and the optimal sequence of jobs so as to minimize some total cost functions, which consist of regular and non-regular functions and the processing time compressions. It shows that the problem can be solved by an assignment problem and thus can be solved in polynomial time. Some extensions of the problem are also given.
Keywords: Controllable processing times
Job-dependent learning curves
Scheduling
Single machine
Publisher: Springer UK
Journal: Neural computing and applications 
ISSN: 0941-0643
EISSN: 1433-3058
DOI: 10.1007/s00521-016-2638-4
Rights: © The Natural Computing Applications Forum 2016
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00521-016-2638-4.
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