虚拟采办中多维建摸与仿真研究
收稿日期: 2010-03-10
修回日期: 2010-07-03
网络出版日期: 2011-03-25
基金资助
国家重点基金和国家863计划（2009AA04Z107）
MultiDimensional Modeling and Simulation in SBA
Received date: 2010-03-10
Revised date: 2010-07-03
Online published: 2011-03-25
作为采办决策的支持手段，虚拟采办是以建模与仿真为工具对采办进度、费用、性能等作的综合论证，其要点包括复杂信息映射的一致性、多维动态仿真的并行和演进。本文以导弹武器装备采办为背景，研究虚拟采办中多维建模与仿真方法：以工作域、任务/子任务、资源等组成的多尺度工作分解结构作为多维仿真的基础，并将进度、性能、费用和资源等多维信息映射至统一的工作结构中；建立任务关系模型和属性关联模型，并将性能作为仿真循环和迭代的约束条件，采用任务调度/时间推进/多维并行机制进行仿真，实现采办仿真过程的并行和演进；同时，在进度、费用、性能等多维约束下分析采办满足预期综合要求的风险，为采办决策提供支持。
白勇军，陈阳，赵勇 . 虚拟采办中多维建摸与仿真研究[J]. 计算机工程与科学, 2011 , 33(3) : 119 -128 . DOI: 10.3969/j.issn.1007130X.2011.
Using modeling and simulation as tools, Simulation Based Acquisition(SBA) is a comprehensive demonstration of acquisition's scheduling, cost, performance, etc. The key points include the consistency of complicated information mapping, parallelization and evolution of dynamic multidimensional simulation. Against the background of missile acquisition, the methods of multidimensional modeling and simulation in SBA are studied. A multiscale work breakdown structure(WBS), which consists of domain decomposition, task/subtask decomposition and resource decomposition, is designed as a basis, and the information from different dimensions is mapped to WBS consistently. After the construction of taskrelation models and attributeassociation models, and using performance as the condition of loop iteration, the simulation process is carried out dynamically and in parallel, with a taskscheduling/timeadvancing/ dimensionparalelizing mechanism. And the methods for the evaluation of acquisition risk to meet the complicated requirements with comprehensive constraints from the dimensions of scheduling, cost, performance, etc., are proposed to support acquisition decisionmaking.
［1］Chen P H. Integration of Cost and Schedule Using Extensive Matrix Method and Spreadsheets［J］. Automation in Construction, 2008, 18(1):3241.
［2］Lee H S, Yi K J. Application of Mathematical Matrix to Integrate Project Schedule and Cost［J］. Journal of Construction Engineering and Management, 1999, 125(5):339346.
［3］Isidore L J, Back W E.Multiple Simulation Analysis for Probabilistic Cost and Schedule Integration［J］. Journal of Construction Engineering and Management, 2002, 128(3):211219.
［4］Carr R I. Cost, Schedule, and Time Variances and Integration ［J］. Journal of Construction Engineering and Management, 1993, 119(2):245265.
［5］Barraza G A, Back W E, Mata F. Probabilistic Monitoring of Project Performance Using SScurves［J］. Journal of Construction Engineering and Management, 2000, 126(2):142148.
［6］Barraza G A, Back W E, Mata F. Probabilistic Forecasting of Project Performance Using Stochastic S Curves［J］. Journal of Construction Engineering and Management, 2004, 130(1):2532.
［7］Poh Y P, Tah J H. Integrated DurationCost Influence Network for Modeling Risk Impacts on Construction Tasks［J］. Construction Management and Economics, 2006, 24(8):861868.
［8］徐哲, 吴瑾瑾, 贾子君. 基于概率联合分布的费用与进度联合风险估计［J］. 系统工程学报, 2009, 24(1):4653.
［9］徐哲, 吴瑾瑾, 姚李刚. 基于GERT仿真的武器装备技术风险量化评估模型［J］. 系统仿真学报, 2008, 20(7):16551664.
［10］张汉鹏, 邱菀华. 基于DSM优化的产品开发两因素风险建模及仿真［J］. 北京航空航天大学学报, 2007, 33(5):627630.
［11］武照云. 复杂产品开发过程规划理论与方法研究:［博士学位论文］［D］. 合肥: 合肥工业大学, 2009.
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