location: Current position: Home >> Scientific Research >> Paper Publications

Scheduling deteriorating jobs with a learning effect on unrelated parallel machines

Hits:

Indexed by:期刊论文

Date of Publication:2014-11-01

Journal:APPLIED MATHEMATICAL MODELLING

Included Journals:SCIE、EI

Volume:38

Issue:21-22

Page Number:5231-5238

ISSN No.:0307-904X

Key Words:Scheduling; Unrelated parallel machines; Learning effect; Deteriorating jobs

Abstract:In this study we consider unrelated parallel machines scheduling problems with learning effect and deteriorating jobs, in which the actual processing time of a job is a function of joint time-dependent deterioration and position-dependent learning. The objective is to determine the jobs assigned to corresponding each machine and the corresponding optimal schedule to minimize a cost function containing total completion (waiting) time, total absolute differences in completion (waiting) times and total machine load. If the number of machines is a given constant, we show that the problems can be solved in polynomial time under the time-dependent deterioration and position-dependent learning model. (C) 2014 Elsevier Inc. All rights reserved.

Pre One:Single machine common flow allowance scheduling with deteriorating jobs and a rate-modifying activity

Next One:Single-machine bicriterion group scheduling with deteriorating setup times and job processing times