Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization
In resource-constrained project scheduling problems, renewable resources can be expanded into human resources with competency differences. A flexible resource-constrained project scheduling problem with competency differences is proposed, which is a practical extension close to Research and Developm...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2019/2320632 |
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| _version_ | 1832549338632421376 |
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| author | Junjie Chen Shurong Tong Hongmei Xie Yafei Nie Jingwen Zhang |
| author_facet | Junjie Chen Shurong Tong Hongmei Xie Yafei Nie Jingwen Zhang |
| author_sort | Junjie Chen |
| collection | DOAJ |
| description | In resource-constrained project scheduling problems, renewable resources can be expanded into human resources with competency differences. A flexible resource-constrained project scheduling problem with competency differences is proposed, which is a practical extension close to Research and Development (R&D) program management, from the traditional multimode resource-constrained project scheduling problem. A parameter and estimation formula to measure staff competency is presented, and a mixed-integer programming model is established for the problem. The single-objective optimization problems of optimal duration and optimal cost are solved sequentially according to the biobjective importance. To solve the model, according to the assumptions and constraints of the model, the initial network diagram of multiple projects is determined, the enumeration algorithm satisfying constraint conditions provides the feasible solution sets, and the algorithm based on dynamic programming is designed for phased optimization. Experimental results show that the proposed optimization model considering competence differences can solve the problem effectively. |
| format | Article |
| id | doaj-art-e00a701a69bf4155b5e3e224eedbf4a1 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-e00a701a69bf4155b5e3e224eedbf4a12025-02-03T06:11:37ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/23206322320632Model and Algorithm for Human Resource-Constrained R&D Program Scheduling OptimizationJunjie Chen0Shurong Tong1Hongmei Xie2Yafei Nie3Jingwen Zhang4School of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaIn resource-constrained project scheduling problems, renewable resources can be expanded into human resources with competency differences. A flexible resource-constrained project scheduling problem with competency differences is proposed, which is a practical extension close to Research and Development (R&D) program management, from the traditional multimode resource-constrained project scheduling problem. A parameter and estimation formula to measure staff competency is presented, and a mixed-integer programming model is established for the problem. The single-objective optimization problems of optimal duration and optimal cost are solved sequentially according to the biobjective importance. To solve the model, according to the assumptions and constraints of the model, the initial network diagram of multiple projects is determined, the enumeration algorithm satisfying constraint conditions provides the feasible solution sets, and the algorithm based on dynamic programming is designed for phased optimization. Experimental results show that the proposed optimization model considering competence differences can solve the problem effectively.http://dx.doi.org/10.1155/2019/2320632 |
| spellingShingle | Junjie Chen Shurong Tong Hongmei Xie Yafei Nie Jingwen Zhang Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization Discrete Dynamics in Nature and Society |
| title | Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization |
| title_full | Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization |
| title_fullStr | Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization |
| title_full_unstemmed | Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization |
| title_short | Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization |
| title_sort | model and algorithm for human resource constrained r d program scheduling optimization |
| url | http://dx.doi.org/10.1155/2019/2320632 |
| work_keys_str_mv | AT junjiechen modelandalgorithmforhumanresourceconstrainedrdprogramschedulingoptimization AT shurongtong modelandalgorithmforhumanresourceconstrainedrdprogramschedulingoptimization AT hongmeixie modelandalgorithmforhumanresourceconstrainedrdprogramschedulingoptimization AT yafeinie modelandalgorithmforhumanresourceconstrainedrdprogramschedulingoptimization AT jingwenzhang modelandalgorithmforhumanresourceconstrainedrdprogramschedulingoptimization |