Polynomial time solutions for scheduling problems on a proportionate flowshop with two competing agents
In scheduling problems with two competing agents, each one of the agents has his own set of jobs and his own objective function, but both share the same processor. The goal is to minimize the value of the objective function of one agent, subject to an upper bound on the value of the objective functi...
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Published in | The Journal of the Operational Research Society Vol. 65; no. 1; pp. 151 - 157 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Taylor & Francis
01.01.2014
Palgrave Macmillan Palgrave Macmillan UK Taylor & Francis Ltd |
Subjects | |
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Abstract | In scheduling problems with two competing agents, each one of the agents has his own set of jobs and his own objective function, but both share the same processor. The goal is to minimize the value of the objective function of one agent, subject to an upper bound on the value of the objective function of the second agent. In this paper we study two-agent scheduling problems on a proportionate flowshop. Three objective functions of the first agent are considered: minimum maximum cost of all the jobs, minimum total completion time, and minimum number of tardy jobs. For the second agent, an upper bound on the maximum allowable cost is assumed. We introduce efficient polynomial time solution algorithms for all cases. |
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AbstractList | In scheduling problems with two competing agents, each one of the agents has his own set of jobs and his own objective function, but both share the same processor. The goal is to minimize the value of the objective function of one agent, subject to an upper bound on the value of the objective function of the second agent. In this paper we study two-agent scheduling problems on a proportionate flowshop. Three objective functions of the first agent are considered: minimum maximum cost of all the jobs, minimum total completion time, and minimum number of tardy jobs. For the second agent, an upper bound on the maximum allowable cost is assumed. We introduce efficient polynomial time solution algorithms for all cases. [PUBLICATION ABSTRACT] In scheduling problems with two competing agents, each one of the agents has his own set of jobs and his own objective function, but both share the same processor. The goal is to minimize the value of the objective function of one agent, subject to an upper bound on the value of the objective function of the second agent. In this paper we study two-agent scheduling problems on a proportionate flowshop. Three objective functions of the first agent are considered: minimum maximum cost of all the jobs, minimum total completion time, and minimum number of tardy jobs. For the second agent, an upper bound on the maximum allowable cost is assumed. We introduce efficient polynomial time solution algorithms for all cases. |
Author | Mor, B Mosheiov, G |
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Cites_doi | 10.1007/s10479-006-0164-y 10.1287/mnsc.19.5.544 10.1287/opre.1030.0092 10.1016/j.ejor.2007.04.040 10.1023/A:1022231419049 10.1057/jors.2010.171 10.1007/s10951-011-0253-x 10.1016/j.cie.2010.12.008 10.1016/j.tcs.2006.07.011 10.1287/mnsc.15.1.102 10.1016/j.ipl.2009.04.018 10.1016/j.ejor.2010.01.005 10.1016/j.cor.2011.09.018 10.1016/j.ins.2011.11.035 10.1016/j.cor.2012.05.019 10.1007/s10878-006-9001-0 10.1007/978-1-4614-2361-4 10.1007/s10951-008-0098-0 10.1287/opre.1090.0744 10.1007/s00170-009-2259-5 10.1016/j.ejor.2010.03.003 10.1016/j.ejor.2011.06.037 10.1016/j.cor.2012.03.012 10.1504/IJSTL.2013.050590 |
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SubjectTerms | Algorithms Business and Management Completion costs Cost functions Deadlines Flow control General Paper General Papers Job shops makespan Management Mathematical minima Minimization of cost number of tardy jobs Objective functions Operations research Operations Research/Decision Theory Polynomials Production scheduling proportionate flowshop Release dates Schedules Scheduling Studies total completion time two-agent scheduling |
Title | Polynomial time solutions for scheduling problems on a proportionate flowshop with two competing agents |
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