Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33029
Title: Resource-dependent scheduling with deteriorating jobs and learning effects on unrelated parallel machine
Authors: Lu, YY
Jin, J
Ji, P 
Wang, JB
Keywords: Deteriorating jobs
Learning effect
Parallel machine
Resource allocation
Scheduling
Issue Date: 2015
Publisher: Springer-Verlag London Ltd
Source: Neural computing and applications, 2015 How to cite?
Journal: Neural Computing and Applications 
Abstract: The focus of this paper is to analyze unrelated parallel-machine resource allocation scheduling problem with learning effect and deteriorating jobs. The goal is to find the optimal sequence of jobs and the optimal resource allocation separately for minimizing the cost function including the total load, the total completion time, the total absolute deviation of completion time and the total resource cost. We show that the problem is polynomial time solvable if the number of machines is a given constant.
URI: http://hdl.handle.net/10397/33029
ISSN: 0941-0643
DOI: 10.1007/s00521-015-1993-x
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