主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

基于组织-任务网络的研发项目工期风险分析——以组织失效为风险因素

展开
  • 西北工业大学管理学院, 陕西 西安 710072
张延禄(1984-),男(汉族),山东潍坊人,西北工业大学管理学院,讲师,研究方向:项目风险管理、管理系统工程.

收稿日期: 2012-12-11

  修回日期: 2014-07-30

  网络出版日期: 2015-02-28

基金资助

国家自然科学基金资助项目(71471146,70972126);高等学校博士学科点专项科研基金(20106102110042)

Analysis of R&D Project Schedule Risk Based on the Organization-task Network: With the Organization Failure as a Risk Factor

Expand
  • School of Management, Northwestern Polytechnical University, Xi'an 710072, China

Received date: 2012-12-11

  Revised date: 2014-07-30

  Online published: 2015-02-28

摘要

在项目工期风险管理领域,大多基于活动工期的不确定性进行研究,对由组织失效引起的工期风险问题较少关注。在对研发项目组织网络和任务网络分析的基础上,提出了研发项目的组织-任务网络模型。借鉴相继故障理论中的耦合映象格子,构建了以组织失效为风险因素的研发项目工期风险分析模型,并对该理论模型进行了数值仿真。结果表明,施加给组织节点的外部扰动达到某一数值即关键扰动阈值时可显著导致项目工期延误,该关键扰动阈值与组织间的耦合度呈负相关,与组织网络的平均度呈正相关,度大袭击比随机袭击和度小袭击更易于导致项目工期风险的发生,且造成工期延误的程度随着组织间耦合度的减小而愈加显著。研究结论为网络化背景下研发项目工期风险管理提供了新的视角。

本文引用格式

张延禄, 杨乃定 . 基于组织-任务网络的研发项目工期风险分析——以组织失效为风险因素[J]. 中国管理科学, 2015 , 23(2) : 99 -107 . DOI: 10.16381/j.cnki.issn1003-207x.2015.02.012

Abstract

In modern society, facing the complexity of technology, scarcity of resources and dynamic of market demand, it has become an effective mode for R&D project to form a network composed of many organizations. However, duration delay has been a common phenomenon in R&D project due to the great amount of sub-organizations and sub-tasks, high complexity of technology and uncertainty of external environment. Research studies also show that schedule problem has been one major cause of many risk events, and become a big challenge faced by managers. Therefore, it has become essential to analyze the schedule risk of R&D project under the context of networking R&D.According to literature review, many studies focus on analyzing the project schedule risk from the view of uncertain task by adopting Gannt Chart, Work Breakdown Structure, Critical Path Method, Program Evaluation and Review Technology, Graphical Evaluation and Review Technology, etc. However, few studies focus on the schedule risk from the organization failure that implements the project task. In fact, project organization is an important factor of schedule risk by allocating materials, human and budget that are necessary for project tasks. In this sense, the failure of a few organizations in R&D project will cause many neighboring organizations to fail, and then influences the durations of some tasks that are implemented by those organizations. Therefore, this paper adopts the coupled map lattice model to describe how the failure of some organization influences the duration of R&D project, which can provide a new insight into managing the schedule risk of R&D project under the context of networking.Firstly, this paper establishes the organization-task network model of R&D project, where organization network has the characteristics of scale-free network based on referring to the conclusions from many scholars, and task network includes three modes of sequence relationships of tasks, finally the execution relationships from organizations to tasks is established based on the organization network and task network.Secondly, based on the established organization-task network, this paper proposes the risk analysis model of R&D project with the organization failure as the factor of R&D project schedule risk. In this model, this paper adopts the coupled map lattice model of cascading failure theory to describe the cascading failure process of organizations in R&D projects, which is shown as below: 
(1)
Where si(t) means the state of organization i at time t, bij(t) means the state whether organization i is linked to j or not at time t, ki(t) means the node degree of organization i at time t, tunable parameter ε∈(0,1) means the coupling degree between organizations. At time m, an external disturbance R is imposed on organization c and then causes this organization to fail. Then, all the other organizations' states will be calculated again according to the equation (1). In this way, the cascading failure process of nodes spreads in the organization networks.Thirdly, this paper proposes the influencing mechanism of how the actual duration of task i is affected by the failure of organizations that implement this task. More specifically, this paper proposes that the actual duration ti' of task i is affected by three elements, which are the planned duration ti of task i, the proportion of failed organizations against all organizations, the influencing degree of organization failure on the actual duration. Therefore, the actual duration of task i is calculated according to the following equation: 
                                       (2)
Where Ψi means the set of failed organizations that implement task i, ω means the influencing degree of organization failure on the actual duration.Finally, this paper explores how the organization failure influences the schedule risk of R&D project throughnumerical simulation under different elements, which are tunable parameter R and ε, average degree of network 〈k〉, attack strategy. The results show that the external disturbance R that is imposed on one organization node can eventually cause the duration delay of R&D project badly only when it reaches a certain threshold, i.e. critical disturbance threshold; This threshold has the negative correlation with the degree of coupling among the organizations, and has the positive correlation with the average degree of organization network; highest-degree attack can more easily lead to the occurrence of schedule risk than random attack and lowest-degree attack, and the gap between their consequences is becoming much larger with the coupling degree among the organizations being smaller.Takes the organization failure is taken as the element of schedule risk of R&D project, and analyzes how the organization failure influences the schedule risk of R&D project through numerical simulation is analyzed. The research work of this paper will provide a new view for R&D project schedule risk management under the context of networking.

参考文献

[1] 李占强, 李广. 开放式R&D、R&D网络与R&D能力的互动演进——跨案例的纵向比较研究[J]. 科学学与科学技术管理, 2013, 34(6): 31-43.

[2] 高峰. 基于过程集成的研发项目进度风险分析方法与应用[D]. 长沙: 国防科学技术大学, 2006.

[3] 李建平, 王书平, 宋娟. 现代项目进度管理[M]. 北京: 机械工业出版社, 2008.

[4] Liu Y, Wang Z F. Analysis of project schedule risk indexes in PERT network using Monte Carlo simulation[J]. Advanced Materials Research, 2013, 760: 2205-2211.

[5] Zhang Ailing, Geng Tingting. Study on the schedule management methods of projects based on critical chain technology[J]. Applied Mechanics and Materials, 2014, 488: 1454-1457.

[6] Wang J. A fuzzy project scheduling approach to minimize schedule risk for product development[J]. Fuzzy Sets and Systems, 2002, 127(2): 99-116.

[7] 朱宗乾, 师红昆, 张永辉. 基于影响图理论的ERP项目实施风险评价模型研究[J]. 管理评论, 2010, 22(12): 45-52.

[8] Luu V T, Kim S Y, Tuan N V,et al. Quantifying schedule risk in construction projects using Bayesian belief networks[J]. International Journal of Project Management, 2009, 27(1): 39-50.

[9] Yang Qing, Zhang Xiaofeng, Yao Tao. An overlapping-based process model for managing schedule and cost risk in product development[J]. Concurrent Engineering, 2012, 20(1): 3-17.

[10] Sambasivan M, Soon Y W. Causes and effects of delays in Malaysian construction industry[J]. International Journal of Project Management, 2007, 25(5): 517-526.

[11] Watts D J, Strogatz S H. Collective dynamics of 'small-world’ networks[J]. Nature, 1998, 393(6684): 440-442.

[12] Albert R, Jeong H, Barabási A L. The diameter of the world-wide web[J].Nature, 1999, 401(6749): 130-131.

[13] Barabási A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512.

[14] Zhang Yanlu, Yang Naiding. Development of a mitigation strategy against the cascading propagation of risk in R&D network[J]. Safety Science, 2014, 68: 161-168.

[15] Yanlu Zhang, Naiding Yang. Research on robustness of R&D network under cascading propagation of risk with gray attack information[J]. Reliability Engineering and System Safety, 2013, 117: 1-8.

[16] Hanaki N, Nakajima R, Ogura Y. The dynamics of R&D network in the IT industry[J]. Research Policy, 2010, 39(3): 386-399.

[17] Cloodt M, Hagedoorn J, Roijakkers N. Inter-firm R&D networks in the global software industry: An overview of major trends and patterns[J]. Business History, 2010, 52(1): 120-149.

[18] Barber M J, Krueger A, Krueger T,et al. Network of European Union-funded collaborative research and development projects[J]. Physical Review E, 2006, 73(3):1-13.

[19] 王珊珊, 田金信, 唐宇. 基于R&D联盟发展演化特点的管理体系优化研究[J]. 科学学与科学技术管理, 2010, 31(3): 56-60.

[20] Smith R P, Eppinger S D. Identifying controlling features of engineering design iteration[J]. Management Science, 1997, 43(3): 276-293.

[21] Smith R P, Eppinger S D. A predictive model of sequential iteration in engineering design[J]. Management Science, 1997, 43(8): 1104-1120.

[22] Smith R P, Eppinger S D. Deciding between sequential and parallel tasks in engineering design[J]. Concurrent Engineering, 1998, 6(1): 15-25.

[24] Huang Dong, Pan Ying, Liang Jingzhang. Cascading failures in bipartite coupled map lattices[J]. Applied Mechanics and Materials, 2012, 198: 1810-1814.

[24] 陈会云. 基于小世界网络的耦合映象格子的动力学研究. 西安: 陕西师范大学, 2010.

[25] 王建伟, 荣莉莉, 王铎. 基于节点局域特征的复杂网络上相继故障模型[J]. 管理科学学报, 2010, 13(8): 42-80.

[26] Xia Yongxiang, Fan Jin, Hill D. Cascading failure in Watts-Strogatz small-world networks [J]. Physica A, 2010, 389(6): 1281-1285.
文章导航

/