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基于成本估算风险的武器装备激励价格合同模式 被引量:1

Incentive Price Contract Mode of Military Equipment Based on Cost Estimation Risk
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摘要 武器装备研发成本超支是各国军队面临的共性难题,其原因主要是在武器装备研发阶段通常采用成本补偿合同,且在合同签订前武器装备承制单位(承制单位)过于乐观,对实际成本需求估计不足。通过采用激励价格合同模式,基于成本估算概率特性,结合项目成本风险等级,将承制单位成本估算概率映射为不同利润水平或损失等级,建立了基于成本估算风险的武器装备激励价格合同模式,促使承制单位在武器装备研发前提供更为客观的成本建议,降低成本超支风险,同时,提高军方武器装备研发项目的管控水平。 The overrun of military equipment Research and Development( R&D) is a common problem faced by the armies of the world. The main reason is that the cost compensation contract is usually adopted at the stage of military equipment R&D,and it is too optimistic to estimate the actual cost demand before the contract is signed. By adopting the mode of incentive price contract,based on the probability characteristic of cost estimation and combined with the grade of project cost risk,the probability of estimating the military equipment contractor cost is mapped to different profit level or loss grade,and the incentive price contract mode of military equipment based on cost estimation is set up to force the military equipment contractor before military equipment R&D to provide more objective cost proposals,reduce the risk of cost overrun and improve the management and control level of military equipment R&D projects.
作者 訾书宇 林名驰 谢力 ZI Shu-yu;LIN Ming-chi;XIE Li(Management Engineering and Equipment Economics Department, Naval Engineering University, Wuhan 430033, Chin)
出处 《装甲兵工程学院学报》 2018年第1期33-37,共5页 Journal of Academy of Armored Force Engineering
基金 军队科研计划项目
关键词 成本超支 成本风险 激励合同 概率分布 cost overrun cost risk incentive contract probability distributions
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  • 1王熙照,赵素云,王静红.基于Rough集理论的模糊值属性信息表简化方法[J].计算机研究与发展,2004,41(11):1974-1981. 被引量:14
  • 2Armengol E.Usages of generalization in case-based reasoning[J].Lecture Notes in Computer Science,2007,4626(1):31-45.
  • 3Li H,Sun J.Predicting business failure using multiple case-based reasoning combined with support vector machine[J].Expert Systems with Applications,2009,36(6):10085-10096.
  • 4Ahn H,Kim K J.Global optimization of case-based reasoningfor breast cytology diagnosis[J].Expert Systems with Applica-tions,2009,36(1):724-734.
  • 5Kim G H,An S H,Kang K I.Comparison of construction costestimating models based on regression analysis,neural net-works,and case-based reasoning[J].Building and Environ-ment,2004,39(10):1235-1242.
  • 6Zi S Y,Wei R X,Song Y X.Research on influencing factor reduc-tion model of ship maintenance cost based on fuzzy rough set[C]∥Proc.of the 17th International Annual Conference on Manage-ment Science&Engineering,2010:482-487.
  • 7Zi S Y,Wei R X.Research on similarity measure among shipmaintenance cost cases based on a combined fuzzy clusteringalgorithm[C]∥Proc.of the International Conference on FutureInformation Technology and Management Engineering,2010:401-404.
  • 8Hanney K,Keane M.Learning adaptation rules from a case-base[C]∥Proc.of the 3rd European Workshop on Case-basedReasoning,1996:179-192.
  • 9Mcsherry D.An adaptation heuristic for case-based estimation[C]∥Proc.of the 4th European Workshop on Case-based Reasoning,1998:184-195.
  • 10Craw S.Introspective learning to build case-based reasoningknowledge containers[C]∥Proc.of the 3rd International Con-ference on Machine Learning and Data Mining in Pattern Rec-ognition,2003:1-6.

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