| 供应链环境下跨组织的PCPSP问题研究 |
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| 引用本文： | 王伟鑫,葛显龙,王旭,倪霖.供应链环境下跨组织的PCPSP问题研究[J].运筹与管理,2015,24(5):24-33. |
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| 作者姓名： | 王伟鑫 葛显龙 王旭 倪霖 |
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| 作者单位： | 1.四川外国语大学国别经济与国际商务研究中心,重庆400031;2.四川外国语大学国际商学院,重庆400031;3.重庆交通大学管理学院,重庆400074;4.重庆邮电大学经济管理学院,重庆400065;5.重庆大学机械工程学院,重庆400030 |
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| 基金项目： | 教育部人文社科基金资助项目(2014YJC630038),高等学校博士学科点专项科研基金资助项目(20135522120002);重庆市社会科学规划资助项目(2013YBGL130);电子商务与现代物流重点实验室开放基金项目(ECML201408) |
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| 摘 要： | 在供应链环境下研究跨组织的资源受限项目调度问题,从项目调度整体效用最大化角度,考虑工期、成本和资源均衡对项目调度的影响。构建并剖析供应链环境下跨组织的资源受限项目调度模型,利用正态云模型中云滴的随机性与稳定性的特征改进遗传算法中交叉算子与变异算子的设置方式,并对模型进行数据模拟和算例分析。结果表明,以工期-成本-资源均衡为优化目标,不仅可实现供应链环境下跨组织的资源受限项目调度的效用最大化,且可缩短项目工期、降低成本并提高资源的利用率。
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| 关 键 词： | 项目调度 供应链管理 工期-成本-资源均衡 云遗传算法 |
| 收稿时间： | 2013-12-03 |
Research on Inter-organization Resource-constrained Project Integrated Scheduling in Supply Chain |
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| WANG Wei-xin,GE Xian-long,WANG Xu,NI Lin.Research on Inter-organization Resource-constrained Project Integrated Scheduling in Supply Chain[J].Operations Research and Management Science,2015,24(5):24-33. |
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| Authors: | WANG Wei-xin GE Xian-long WANG Xu NI Lin |
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| Affiliation: | 1.Research Center for International Business and Economics, Sichuan International Studies University,Chongqing400031,China; 2.International Business School, Sichuan International Studies University,Chongqing400031,China; 3.School of Management ,ChongQing Jiao tong University,Chongqing400074,China; 4.College of Economics and Management, Chongqing University of Posts and Telecoms, Chongqing 400065, China; 5.College of Mechanical Engineering, Chongqing University,Chongqing400030, China |
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| Abstract: | The problem of inter-organization resource-constrained project scheduling in supply chain is proposed .the affect of duration、cost and resource leveling in project scheduling are considered from the standpoint of maximizing the overall utility. Then the model of the inter-organization resource-constrained scheduling problem in supply chain is constructed and analyged. Randomness and stability of droplets in Normal cloud model is adopted to improve the setting mode of crossover and mutation operator in Genetic algorithm, and numerical simulation is carried out. The results show that it not only reaches the objective of maximizing the overall utility for inter-organization resource-constrained scheduling in supply chain, but also the objective of shortening the duration、lowering the cost and improving resource-utilization efficiency when taking the duration-cost-resource leveling as optimize target. |
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| Keywords: | project scheduling supply chain management duration-cost-resource leveling cloud genetic algorithms |
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