Parallel machine match-up scheduling with manufacturing cost considerations

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 02 Jun 2009 English Publisher:Springer Science and Business Media LLCJournal:Journal of Scheduling, volume 13, pages 95-110 (issn: 1094-6136, eissn: 1099-1425,

Copyright policy )Funded by:NSF | Conic Integer Programming

Authors: Aktürk, M.S.; Atamtürk, A.; Gürel, S.;

doi: 10.1007/s10951-009-0111-2

handle: 11693/22437

Parallel machine match-up scheduling with manufacturing cost considerations

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Abstract

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Related Organizations

University of California System
United States
University of California, Berkeley
United States
Bilkent University
Turkey
University of California, San Francisco
United States

Keywords

Optimization, Calculus of Variations and Optimal Control; Optimization, Parallel machine, Deterministic scheduling theory in operations research, Time/cost trade-offs, Parallel programming, Production/Logistics, Artificial Intelligence (incl. Robotics), Controllable processing time, match up times, Management Science and Operations Research, Controllable processing times, Communication channels (information theory), Fast heuristic algorithms, Artificial Intelligence, Manufacturing cost, second-order cone programming, Heuristic algorithms, Parallel machine rescheduling, Engineering(all), Efficient frontier, controllable processing times, 000, Convex functions, Scheduling problem, Manufacture, Integer programming, Sub-problems, Calculus of Variations and Optimal Control, Mixed-Integer Programming, Costs, Second-order cone programming, Processing time, Up time, parallel machine rescheduling, Match up times, Operations Research/Decision Theory, Economics / Management Science, Software

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