Resource Constrained Project Scheduling Subject to Due Dates: Preemption Permitted with Penalty
Extensive research works have been carried out in resource constrained project scheduling problem. However, scarce researches have studied the problems in which a setup cost must be incurred if activities are preempted. In this research, we investigate the resource constrained project scheduling pro...
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| Published in | Advances in Operations Research Vol. 2014; no. 2014; pp. 94 - 103 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Limiteds
01.01.2014
Hindawi Puplishing Corporation Hindawi Publishing Corporation John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1687-9147 1687-9155 1687-9155 |
| DOI | 10.1155/2014/505716 |
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| Abstract | Extensive research works have been carried out in resource constrained project scheduling problem. However, scarce researches have studied the problems in which a setup cost must be incurred if activities are preempted. In this research, we investigate the resource constrained project scheduling problem to minimize the total project cost, considering earliness-tardiness and preemption penalties. A mixed integer programming formulation is proposed for the problem. The resulting problem is NP-hard. So, we try to obtain a satisfying solution using simulated annealing (SA) algorithm. The efficiency of the proposed algorithm is tested based on 150 randomly produced examples. Statistical comparison in terms of the computational times and objective function indicates that the proposed algorithm is efficient and effective. |
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| AbstractList | Extensive research works have been carried out in resource constrained project scheduling problem. However, scarce researches have studied the problems in which a setup cost must be incurred if activities are preempted. In this research, we investigate the resource constrained project scheduling problem to minimize the total project cost, considering earliness-tardiness and preemption penalties. A mixed integer programming formulation is proposed for the problem. The resulting problem is NP-hard. So, we try to obtain a satisfying solution using simulated annealing (SA) algorithm. The efficiency of the proposed algorithm is tested based on 150 randomly produced examples. Statistical comparison in terms of the computational times and objective function indicates that the proposed algorithm is efficient and effective. |
| Author | Afshar-Nadjafi, Behrouz |
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| CitedBy_id | crossref_primary_10_32604_cmc_2021_017710 crossref_primary_10_1016_j_cie_2023_109442 |
| Cites_doi | 10.1016/S0377-2217(02)00761-0 10.1016/j.aci.2014.02.003 10.1016/j.amc.2005.11.160 10.1137/0222078 10.1016/j.cie.2013.06.017 10.1016/j.autcon.2008.10.007 10.1016/0166-218X(83)90012-4 10.1016/j.ejor.2003.10.053 10.1287/opre.41.5.981 10.1057/jors.1992.66 10.1016/0377-2217(94)90006-X 10.1016/0377-2217(95)00358-4 10.1007/s10951-007-0028-6 10.1016/S0020-0190(01)00251-4 10.1016/j.ejor.2008.10.005 10.1016/j.asoc.2012.11.002 10.1016/j.dam.2010.11.015 10.1134/S1990478910040010 10.1287/mnsc.41.10.1693 10.1007/s10845-010-0425-0 10.1007/BF01582166 10.1126/science.220.4598.671 10.1023/A:1010954031930 10.1016/j.cie.2011.09.013 10.1287/mnsc.30.7.854 |
| ContentType | Journal Article |
| Copyright | Copyright © 2014 Behrouz Afshar-Nadjafi. Copyright © 2014 Behrouz Afshar-Nadjafi. Behrouz Afshar-Nadjafi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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| SubjectTerms | Capital budgeting Costs Employment Fines & penalties Genetic algorithms Heuristic Integer programming Linear programming Net present value Operations research Preemption Preventive maintenance Project management Schedules Scheduling |
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| Title | Resource Constrained Project Scheduling Subject to Due Dates: Preemption Permitted with Penalty |
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