1 |
RYU C , SHIN J G , KWON O H , et al. Development of integrated and interactive spatial planning system of assembly blocks in shipbuilding[J]. International Journal of Computer Integrated Manufacturing, 2008, 21 (8): 911- 922.
doi: 10.1080/09511920701819163
|
2 |
李俊亭. 关键链多项目管理理论与方法[M]. 北京: 中国社会科学出版社, 2016.
|
|
LI J T . Critical chain multi-project management theory and methods[M]. Beijing: China Social Science Press, 2016.
|
3 |
ASH R C , PITTMAN P H . Towards holistic project scheduling using critical chain methodology enhanced with PERT buffering[J]. International Journal of Project Organisation and Managemen, 2008, 1 (2): 185- 203.
doi: 10.1504/IJPOM.2008.022191
|
4 |
KRYSTYNA A . Application of critical chain management in construction projects schedules in a multi-project environment: a case study[J]. Procedia Engineering, 2017, 182, 33- 41.
doi: 10.1016/j.proeng.2017.03.108
|
5 |
LEE B , MILLER J . Multi-project management in software engineering using simulation modelling[J]. Software Quality Journal, 2004, 12, 59- 82.
doi: 10.1023/B:SQJO.0000013359.71560.47
|
6 |
LAMAS P , DEMEULEMEESTER E . A purely proactive sche-duling procedure for the resource-constrained project scheduling problem with stochastic activity durations[J]. Journal of Sche-duling, 2016, 19 (4): 409- 428.
doi: 10.1007/s10951-015-0423-3
|
7 |
WANG W X , WANG X , GE X L , et al. Multi-objective optimization model for multi-project scheduling on critical chain[J]. Advances in Engineering Software, 2014, 68, 33- 39.
doi: 10.1016/j.advengsoft.2013.11.004
|
8 |
ZHANG K , DING S . Research on progress management of construction projects[J]. Energy Procedia, 2011, 13, 2444- 2450.
doi: 10.1016/S1876-6102(14)00454-8
|
9 |
廖良才, 张琦. 基于混合遗传算法和关键链的多资源多项目进度计划优化[J]. 科学技术与工程, 2014, 14 (6): 190- 195.
doi: 10.3969/j.issn.1671-1815.2014.06.043
|
|
LIAO L C , ZHANG Q . Multi-resource and multi-project schedule optimization based on a hybrid genetic algorithm and critical chain method[J]. Science Technology and Engineering, 2014, 14 (6): 190- 195.
doi: 10.3969/j.issn.1671-1815.2014.06.043
|
10 |
李敬花. 基于多智能体的多型号生产调度技术研究[M]. 哈尔滨: 哈尔滨工程大学出版社, 2017.
|
|
LI J H . Research on multi-model production scheduling technology based on multi-agent[M]. Harbin: Harbin Engineering University Press, 2017.
|
11 |
韩文民, 杨衡, 龚俏巧. 基于关键链技术的造船多项目并行计划与控制研究[J]. 中国造船, 2010, 51 (4): 209- 219.
doi: 10.3969/j.issn.1000-4882.2010.04.027
|
|
HAN W M , YANG H , GONG Q Q . Research of shipbuilding multi-project parallel planning and control based on critical chain technology[J]. Shipbuilding of China, 2010, 51 (4): 209- 219.
doi: 10.3969/j.issn.1000-4882.2010.04.027
|
12 |
MAURIZIO B , FILIPPO E C , GIOVANNI M . Critical chain and theory of constraints applied to yachting shipbuilding: a case study[J]. International Journal of Project Organisation and Management, 2014, 6 (4): 379- 397.
doi: 10.1504/IJPOM.2014.066411
|
13 |
CHEN H J , DING G F , ZHANG J , et al. Research on priority rules for the stochastic resource constrained multi-project scheduling problem with new project arrival[J]. Computers & Industrial Engineering, 2019, 137, 106060.
|
14 |
李敏, 姚泽坤, 刘人境, 等. 基于关键链技术的多项目管理研究综述[J]. 科技管理研究, 2019, 39 (1): 205- 210.
doi: 10.3969/j.issn.1000-7695.2019.01.028
|
|
LI M , YAO Z K , LIU R J , et al. Review of multi-project management based on critical chain technology[J]. Science and Technology Management Research, 2019, 39 (1): 205- 210.
doi: 10.3969/j.issn.1000-7695.2019.01.028
|
15 |
HU X J , DEMEULEMEESTER E , CUI N F , et al. Improved critical chain buffer management framework considering resource costs and schedule stability[J]. Flexible Services and Manufact-uring Journal, 2017, 29 (2): 159- 183.
doi: 10.1007/s10696-016-9241-y
|
16 |
IWONA P , WERONIKA C . Location selection and size estimation of resource buffers in the critical chain project management method[J]. Applied Mechanics and Materials, 2015, 809-810, 1390- 1395.
doi: 10.4028/www.scientific.net/AMM.809-810.1390
|
17 |
PENG W L , HUANG M . A critical chain project scheduling method based on a differential evolution algorithm[J]. International journal of production research, 2014, 52 (13): 3940- 3949.
doi: 10.1080/00207543.2013.865091
|
18 |
HAO Y B , LIU X A , FAN T L . Application of intelligent algorithm in the optimization of novel protein regulatory pathway: mechanism of action of gastric carcinoma prote in p42.3[J]. Journal of Cancer Research and Therapeutics, 2016, 12 (2): 650- 656.
doi: 10.4103/0973-1482.151856
|
19 |
ZANDEVAKILI H , RASHEDI E , MAHANI A . Gravitational search algorithm with both attractive and repulsive forces[J]. Soft Computing, 2019, 23 (3): 783- 825.
|
20 |
胡晨, 徐哲, 于静. 基于工期分布和多资源约束的关键链缓冲区大小计算方法[J]. 系统管理学报, 2015, 24 (2): 237- 242.
|
|
HU C , XU Z , YU J . Calculation method of buffer size on critical chain with duration distribution and multi-resource constraints[J]. Journal of Civil Engineering and Management, 2015, 24 (2): 237- 242.
|
21 |
VILLAFANEZ F , POZA D , LOPEZ-PAREDES A , et al. A generic heuristic for multi-project scheduling problems with global and local resource constraints[J]. Soft Computing, 2019, 23 (10): 3465- 3479.
doi: 10.1007/s00500-017-3003-y
|
22 |
SUNIL K J , MILLIE P . Genetic algorithms in supply chain management: a critical analysis of the literature[J]. Sadhana, 2016, 41 (9): 993- 1017.
doi: 10.1007/s12046-016-0538-z
|
23 |
PÉREZ E , POSADA M , LORENZANA A . Taking advantage of solving the resource constrained multi-project scheduling problems using multi-modal genetic algorithms[J]. Soft Computing, 2016, 20 (5): 1879- 1896.
doi: 10.1007/s00500-015-1610-z
|
24 |
MASUMEH S , ESMAT R , AHMAD H . Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier[J]. Applied Mathematics and Computation, 2015, 258 (C): 436- 453.
|
25 |
MA C L , YANG Y Y , WANG L H , et al. Research on distribution route with time window and on-board constraint based on tabu search algorithm[J]. EURASIP Journal on Wireless Communications and Networking, 2019.
doi: 10.1186/s13638-019-1348-x
|
26 |
AMIRA G , MOHAMED B , PIERRE B . A taboo search optimization of the control law of nonlinear systems with bounded uncertainties[J]. International Journal of Computers Communications & Control, 2016, 11 (2): 224- 232.
|
27 |
李敬花, 胡载萍, 吕慧超, 等. 多资源约束下海工装备多项目调度优化[J]. 哈尔滨工程大学学报, 2013, 34 (10): 1214- 1220.
|
|
LI J H , HU Z P , LYU H C , et al. Optimization of multi-resource constrained offshore equipment multi-project scheduling[J]. Journal of Harbin Engineering University, 2013, 34 (10): 1214- 1220.
|
28 |
丹·西蒙.进化优化算法-基于仿生和种群的计算机智能方法[M].陈曦,译.北京:清华大学出版社, 2018.
|
|
SIMON D. Evolution optimization algorithms biologically inspired and population-based approaches to computer intelligence[M]. CHEN X, Trans. Beijing: Tsinghua University Press, 2018.
|
29 |
武装. 几种改进的智能优化算法及其应用[M]. 北京: 科学技术文献出版社, 2018.
|
|
WU Z . Several improved intelligent optimization algorithms and applications[M]. Beijing: Science and Technology Literature Press, 2018.
|
30 |
李松芳, 刘伟. 基于万有引力思想的遗传算子[J]. 广东工业大学学报, 2015, 32 (1): 121- 127.
doi: 10.3969/j.issn.1007-7162.2015.01.025
|
|
LI S F , LIU W . Genetic operator based on the idea of universal gravitation[J]. Journal of Guangdong University of Technology, 2015, 32 (1): 121- 127.
doi: 10.3969/j.issn.1007-7162.2015.01.025
|