Solving the resource-constrained multi-project scheduling problem with an improved critical chain method

被引:10
|
作者
Tian, Min [1 ]
Liu, Ren Jing [1 ]
Zhang, Guang Jun [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
基金
中国国家社会科学基金;
关键词
CCM; buffer settings; RCMPSP; hierarchical strategy; MANAGEMENT;
D O I
10.1080/01605682.2019.1609883
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In view of the fact that the critical chain method (CCM) is mainly used in single project scheduling, this article improves the method and applies it to multi-project scheduling. Taking into consideration the flow of the drum resource within and among sub-projects, this study proposes methods that can be used to identify the critical chain and buffer settings, based on the concepts of the task chain, sub-project drum resource flow, and multi-project drum resource flow. The improvement of the CCM includes two aspects. First, by analysing the impact of the drum buffer and capacity constrained buffer on the project buffer and feeding buffer, the calculation methods of these buffers are optimised. Second, a risk contribution index is designed for the modification of these buffers, in order to further improve their anti-interference ability. Then, combined with the improved CCM and the different hierarchical scheduling objectives, a critical chain resource-constrained multi-project scheduling model with a hierarchical strategy is proposed as a way of solving multi-project scheduling plans. Eight theoretical test cases with different scales, and a practical example under different risk levels of uncertainty are used to test this model. The results show that the stability of the scheduling plans clearly improved, and the project duration and tardiness costs were significantly reduced, thus proving the effectiveness of the model.
引用
收藏
页码:1243 / 1258
页数:16
相关论文
共 50 条
  • [1] Supply chain integrated resource-constrained multi-project scheduling problem
    Asadujjaman, Md.
    Rahman, Humyun Fuad
    Chakrabortty, Ripon K.
    Ryan, Michael J.
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 194
  • [2] Resource-constrained multi-project scheduling problem: A survey
    Gomez Sanchez, Mariam
    Lalla-Ruiz, Eduardo
    Gil, Alejandro Fernandez
    Castro, Carlos
    Voss, Stefan
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 309 (03) : 958 - 976
  • [3] A-Team Solving Distributed Resource-Constrained Multi-project Scheduling Problem
    Jedrzejowicz, Piotr
    Ratajczak-Ropel, Ewa
    [J]. COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2018, PT II, 2018, 11056 : 243 - 253
  • [4] A-Team Solving Distributed Resource-Constrained Multi-Project Scheduling Problem
    Jedrzejowicz, Piotr
    Ratajczak-Ropel, Ewa
    [J]. VIETNAM JOURNAL OF COMPUTER SCIENCE, 2019, 6 (04) : 423 - 437
  • [5] The Multi-Mode Resource-Constrained Multi-Project Scheduling Problem
    Wauters, Tony
    Kinable, Joris
    Smet, Pieter
    Vancroonenburg, Wim
    Vanden Berghe, Greet
    Verstichel, Jannes
    [J]. JOURNAL OF SCHEDULING, 2016, 19 (03) : 271 - 283
  • [6] A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem
    Bredael, Dries
    Vanhoucke, Mario
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 315 (02) : 19 - 34
  • [7] Solving a real-life multi-skill resource-constrained multi-project scheduling problem
    Torba, Rahman
    Dauzere-Peres, Stephane
    Yugma, Claude
    Gallais, Cedric
    Pouzet, Juliette
    [J]. ANNALS OF OPERATIONS RESEARCH, 2024, 338 (01) : 69 - 114
  • [8] Resource-Constrained Multi-Project Reactive Scheduling Problem With New Project Arrival
    Peng, Wuliang
    Yu, Dongmin
    Lin, Jiali
    [J]. IEEE ACCESS, 2023, 11 : 64370 - 64382
  • [9] Optimizing for a Resource-constrained Multi-project Scheduling Problem with Planned Resource Unavailability
    Tian, Jinwen
    Dong, Xingye
    Han, Sheng
    [J]. PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM 2018), 2018, 160 : 243 - 248
  • [10] A particle swarm optimization for resource-constrained multi-project scheduling problem
    Deng Linyi
    Lin Yan
    [J]. CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS, 2007, : 1010 - 1014