主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2022, Vol. 30 ›› Issue (11): 159-169.doi: 10.16381/j.cnki.issn1003-207x.2020.0272

• Articles • Previous Articles     Next Articles

Optimization of a Type of Local Resource-Constrained Project Scheduling Problem Based on the Strong Duality Theory of Integer Programming

SU Zhi-xiong1, WEI Han-ying1, ZHANG Jing-wen2, QI Jian-xun3   

  1. 1. Business Administration College, Nanchang Institute of Technology, Nanchang 330099, China;2. School of Management, Northwestern Polytechnical University, Xi’an 710072, China;3. School of Economics and Management, North China Electric Power University, Beijing 102206,China
  • Received:2020-02-25 Revised:2020-09-27 Online:2022-11-20 Published:2022-11-28
  • Contact: 苏志雄 E-mail:happywhy@126.com

Abstract: Resource constraints are often broadly impacting, unavoidable impediments in project execution procedures. A number of recent, topical project management issues, such as the resource-constrainedproject scheduling problem (RCPSP), have their roots in the resource constraint problem. It is NP-hard in the strong sense. Current research on the RCPSP mainly focuses on the global problemin which all activities are constrained by resource constraints during the whole project process. Considering practical projects requiring numerous types of resources, the “resource constrained” designation may be for limited types of resources or during local project processes. The local “resource-constrained” designation may constrain activities in a part of the projectsuch that only a portion of activities need arrangement under resource restriction.The above representation denotes the local RCPSP.In this paper, a typical sub-problem of the local RCPSP is studied, which is generated by adding some special assumptions to the general local RCPSP.

Key words: resource-constrained project scheduling; strong duality of integer programming; exact polynomial time algorithm; Dangzig-Wolfe decomposition

CLC Number: