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Scheduling jobs with general learning functions

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Indexed by:期刊论文

Date of Publication:2011-03-01

Journal:JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING

Included Journals:Scopus、SCIE、EI、CSCD

Volume:20

Issue:1

Page Number:119-125

ISSN No.:1004-3756

Key Words:Scheduling; single machine; learning effect; makespan; total completion time

Abstract:This paper deals with single-machine scheduling problems with a more general learning effect based on sum-of-processing-time. In this study, sum-of-processing-time-based learning effect means that the processing time of a job is defined by a decreasing function of the total normal processing time of jobs that come before it in the sequence. Results show that even with the introduction of the sum-of-processing-time-based learning effect to job processing times, single-machine makespan minimization problems remain polynomially solvable. The curves of the optimal schedule of a total completion time minimization problem are V-shaped with respect to job normal processing times.

Pre One:Single-machine scheduling jobs with exponential learning functions