Project selection and scheduling with uncertain net income and investment cost
This paper discusses an R & D project selection and scheduling problem in which there are no historical data about the project parameter values. The net income and investment cost in the problem are given by experts’ evaluations and treated as uncertain variables. The different interactions amon...
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| Published in | Applied mathematics and computation Vol. 247; pp. 61 - 71 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
15.11.2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0096-3003 1873-5649 |
| DOI | 10.1016/j.amc.2014.08.082 |
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| Abstract | This paper discusses an R & D project selection and scheduling problem in which there are no historical data about the project parameter values. The net income and investment cost in the problem are given by experts’ evaluations and treated as uncertain variables. The different interactions among projects and the flexibility of project beginning time are considered. A new cost overrun risk is employed and a new optimisation model for R & D project selection and scheduling problem is given. Furthermore, deterministic equivalents of the model are presented and a genetic algorithm is designed for solving the proposed problem. As an illustration, a numerical example is provided. |
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| AbstractList | This paper discusses an R & D project selection and scheduling problem in which there are no historical data about the project parameter values. The net income and investment cost in the problem are given by experts' evaluations and treated as uncertain variables. The different interactions among projects and the flexibility of project beginning time are considered. A new cost overrun risk is employed and a new optimisation model for R & D project selection and scheduling problem is given. Furthermore, deterministic equivalents of the model are presented and a genetic algorithm is designed for solving the proposed problem. As an illustration, a numerical example is provided. |
| Author | Huang, Xiaoxia Zhao, Tianyi |
| Author_xml | – sequence: 1 givenname: Xiaoxia surname: Huang fullname: Huang, Xiaoxia email: hxiaoxia@manage.ustb.edu.cn – sequence: 2 givenname: Tianyi surname: Zhao fullname: Zhao, Tianyi |
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| Cites_doi | 10.1016/j.seps.2006.06.009 10.1007/s10700-012-9125-x 10.1080/07408179608966262 10.1016/0377-2217(94)00257-6 10.1016/j.eswa.2013.11.022 10.1016/j.ins.2012.06.017 10.1016/S0895-7177(99)00030-8 10.1016/0895-7177(88)90495-5 10.1016/j.amc.2013.02.015 10.1016/j.cor.2009.06.012 10.1016/j.technovation.2004.07.010 10.1016/j.camwa.2011.10.035 10.1016/j.econmod.2012.09.032 10.1016/j.apm.2011.09.042 10.1007/s10700-010-9094-x 10.1007/s00500-012-0931-4 10.1016/j.autcon.2011.04.012 10.1016/j.eswa.2011.11.119 10.1016/S0263-7863(99)00078-2 10.1016/j.camwa.2011.07.058 10.1016/j.technovation.2004.07.017 |
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| Keywords | Project scheduling Uncertain modelling Project selection Uncertain programming Genetic algorithm |
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| SubjectTerms | Equivalence Financing Flexibility Genetic algorithm Income Investment Mathematical models Optimization Project scheduling Project selection Scheduling Uncertain modelling Uncertain programming |
| Title | Project selection and scheduling with uncertain net income and investment cost |
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