Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104533
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Title: Scheduling jobs with controllable processing time, truncated job-dependent learning and deterioration effects
Authors: Wang, JB
Liu, M
Yin, N
Ji, P 
Issue Date: Apr-2017
Source: Journal of industrial and management optimization, Apr. 2017, v. 13, no. 2, p. 1025-1039
Abstract: In this paper, we consider single machine scheduling problems with controllable processing time (resource allocation), truncated job-dependent learning and deterioration effects. The goal is to find the optimal sequence of jobs and the optimal resource allocation separately for minimizing a cost function containing makespan (total completion time, total absolute differences in completion times) and/or total resource cost. For two different processing time functions, i.e., a linear and a convex function of the amount of a common continuously divisible resource allocated to the job, we solve them in polynomial time respectively.
Keywords: Deterioration job
Learning effect
Resource allocation
Scheduling
Publisher: American Institute of Mathematical Sciences
Journal: Journal of industrial and management optimization 
ISSN: 1547-5816
EISSN: 1553-166X
DOI: 10.3934/jimo.2016060
Rights: This article has been published in a revised form in Journal of Industrial and Management Optimization [http://dx.doi.org/10.3934/jimo.2016060]. This version is free to download for private research and study only. Not for redistribution, re-sale or use in derivative works.
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