复杂项目组织能力与任务分配的适应性测度及优化

组织能力与任务分配不适应是导致复杂项目进度目标失控的关键原因。针对传统项目管理理论和方法的不足，课题将项目视为一个复杂适应性系统，针对任务复杂性、组织复杂性和组织能力自适应性等典型特征，利用项目管理理论、复杂性科学、元网络分析方法和多主体仿真技术，围绕复杂项目组织能力与任务分配的适应性问题，开展以下研究：（1）将项目组织社会网络进一步拓展，研究复杂项目元网络的构成、形成动力机制与构建方法；（2）从动态和网络交互视角出发，研究组织能力与任务分配的适应性测度指标建立与评测方法；（3）研究适应性演化仿真模型的基本原理、运行机制和实现方法；（4）研究适应性优化的基本原理、程序和实现方法；（5）进行适应性测度的指标检验、模型验证和优化实证。研究对认识复杂项目组织运行的内在机理和本质规律，突破传统项目管理理论和方法，形成复杂项目组织设计、能力提升和任务分配优化等创新理论和方法，具有重要理论和实践意义。

The inadaptability between organizational capability and task allocation is a leading cause to the schedule delay for complex projects. Aiming at the shortcomings of the traditional project management theory and methods.This research studies project as a complex adaptive system, employs project management theory,complexity science, meta network analysis theory and multi-agent simulation method to focus the research on the typical characteristics of task complexity, organizational complexity and organization self-adaptation capability, and explores the adaptability between organizational capability and task allocation. The research encompasses the following objectives: (1)expanding the social network project organization, composing complex projects networks, their dynamic formation mechanism and construction methods; (2) building indicators and evaluation methods of the adaptive measure for organizational capability and task allocation; (3) developing the rationale, operating mechanism and implementation methods of adaptive evolution simulation mode; (4) establishing the rationale, procedure and implementmethod of adaptive optimization; (5) emperially testing indicators, model validation and optimization of the adaptation measures. This research will indentify the internal mechanism and intrinsic rules of organizational operation in complex projects, break the theory and methods of traditional project management,develop innovative theories and supportive technologies for organizational design, improve capability and task allocation optimization for complex projects, as well as contribute to thetheoretical and practical significance.