Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43468
Title: Machine scheduling with deteriorating jobs and DeJong's learning effect
Authors: Ji, M
Tang, X
Zhang, X
Cheng, TCE 
Keywords: DeJong's learning effect
FPTAS
Job deterioration
Scheduling
Issue Date: 2016
Publisher: Pergamon Press
Source: Computers and industrial engineering, 2016, v. 91, p. 42-47 How to cite?
Journal: Computers and industrial engineering 
Abstract: We consider parallel-machine scheduling with deteriorating jobs and DeJong's learning effect. We focus on the problems to minimize the total completion time and the makespan. We show that the former is polynomially solvable, while the latter is NP-hard, for which we provide a fully polynomial-time approximation scheme.
URI: http://hdl.handle.net/10397/43468
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2015.10.015
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