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考虑“时间-资源”的大型客机协同研制GERT网络优化
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  • 英文篇名:GERT network optimization with consideration of “time-resource”on large aircraft collaborative development
  • 作者:王翯华 ; 朱建军 ; 姚雨辰
  • 英文作者:WANG He-hua;ZHU Jian-jun;YAO Yu-chen;School of Business,Jinling Institute of Technology;College of Economics and Managment,Nanjing University of Aeronautics and Astronautics;
  • 关键词:协同研制 ; 时间规划-资源调度 ; 图示评审技术 ; 差分进化算法 ; 大型客机 ; 不确定性
  • 英文关键词:collaborative development;;time planning-resource scheduling(TP-RS);;GERT;;differential evolution algorithm;;large aircraft;;uncertainty
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:金陵科技学院商学院;南京航空航天大学经济与管理学院;
  • 出版日期:2018-06-15 13:43
  • 出版单位:控制与决策
  • 年:2019
  • 期:v.34
  • 基金:国家自然科学基金项目(71502073);; 教育部人文社会科学基金项目(14YJC630120);; 国家社会科学基金重点项目(14AZD049);; 金陵科技学院科研启动基金项目(jit-b-201419);; 江苏省高校“青蓝工程”项目
  • 语种:中文;
  • 页:KZYC201902011
  • 页数:8
  • CN:02
  • ISSN:21-1124/TP
  • 分类号:88-95
摘要
研究大型客机协同研制过程中项目活动时间和投入资源具有不确定性的图示评审技术(GERT)网络优化问题.采用GERT网络表征复杂项目研制过程,给出基于GERT的项目完成费用计算方法,提出项目时间与资源投入数量影响下的完工实现概率表征方式;为实现对复杂产品研制项目中时间-费用-资源优化调整,针对项目各活动和整体完工时间的不确定性,建立总完工时间、资源、实现概率受限情况下的时间规划与资源调度优化模型,并给出问题求解的差分进化启发式算法;考虑到大型客机全面试制过程是衡量能否按期完工的关键,以此过程为例进行案例分析,从而表明所提出方法的可行性和有效性.
        The paper studies a graphic evaluation and review techuique(GERT) network optimization problem with uncertain project activity time and resources invested in the collaborative development process of airliners. Firstly, the development process of the complex product is characterized by a GERT network which is considered as a basis of calculating the project completion cost, then a form denoting the completion probability is proposed considering the influence of project duration and resources involved in the project. Then, to adjust and optimize the time-cost-resources involved in the project when each activity time and the total project completion time are uncertain, a time planning and resource scheduling optimization model is proposed under the limitation of the total completion time, resources and implementation probability, and a difference evolutionary heuristic algorithm is developed to solve the model. Finally, as the comprehensive trial-manufacture process of airliners is the key to measure whether the project is completed on schedule, this paper considers it as the background of the case study to verify the feasibility and effectiveness of the proposed method.
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