Skip navigation

Single machine scheduling models with deterioration and learning: handling precedence constraints via priority generation

Single machine scheduling models with deterioration and learning: handling precedence constraints via priority generation

Gordon, V.S., Potts, C.N., Strusevich, V.A. and Whitehead, J.D. (2008) Single machine scheduling models with deterioration and learning: handling precedence constraints via priority generation. Journal of Scheduling, 11 (5). pp. 357-370. ISSN 1094-6136 (Print), 1099-1425 (Online) (doi:10.1007/s10951-008-0064-x)

Full text not available from this repository.

Abstract

We consider various single machine scheduling problems in which the processing time of a job depends either on its position in a processing sequence or on its start time. We focus on problems of minimizing the makespan or the sum of (weighted) completion times of the jobs. In many situations we show that the objective function is priority-generating, and therefore the corresponding scheduling problem under series-parallel precedence constraints is polynomially solvable. In other situations we provide counter-examples that show that the objective function is not priority-generating.

Item Type: Article
Additional Information: [1] Published online: 13 May 2008.
Uncontrolled Keywords: single machine scheduling, deteriorating jobs, learning effect, precedence constraints, priority-generating functions
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
School of Computing & Mathematical Sciences > Statistics & Operational Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1213

Actions (login required)

View Item View Item