Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization

• Published in: Discrete dynamics in nature and society Vol. 2019; no. 2019; pp. 1 - 13
• Main Authors: Nie, Yafei, Xie, Hongmei, Tong, Shurong, Chen, Junjie, Zhang, Jingwen
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Algorithms; Constraint modelling; Critical path; Dynamic programming; Enumeration; Human resources; Integer programming; Optimization; Parameter estimation; Production scheduling; R&D; Renewable resources; Research & development; Resource management; Resource scheduling; Software
• DOI: 10.1155/2019/2320632
• ISSN: 1026-0226

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.