A Theoretical Framework for Understanding Strategic Behavior in Systems Engineering

理解系统工程中战略行为的理论框架

基本信息

  • 批准号:
    1728165
  • 负责人:
  • 金额:
    $ 50.29万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-15 至 2022-07-31
  • 项目状态:
    已结题

项目摘要

The objective of this project is to improve understanding about the impact of strategic behaviors under incomplete information on systems engineering projects. The complexity of modern engineering projects requires coordinating the activities of thousands of individuals across multiple organizations. Systems engineering tackles this complexity through well-documented processes for hierarchically decomposing the problem, passing requirements down the hierarchy, subcontracting, etc. However, such systems engineering processes typically result in significant cost overruns and schedule slippages. These represent significant losses to society and, oftentimes, taxpayers (one estimate values such losses to the U.S. Department of Defense alone at over $200 million per day). This research project will question assumptions underlying current systems engineering processes and advance understanding needed to improve systems engineering practice. To enable further research on this important problem area, research tools and data produced as part of this project will be made available freely via web-based repositories. A workshop will be organized to address research and educational challenges in this area. Results of this research can impact the development of large-scale engineered systems of any kind, including aerospace, defense, transportation and energy systems.In this project, systems engineering processes will be modeled as dynamic network games of incomplete information. This will be accomplished in three modeling steps covering: interactions between engineers in system and sub-system levels, hierarchical systems engineering processes, and dynamic systems engineering processes. The overall expected outcomes of this project are (i) a foundational theory of systems engineering that considers the strategic decision making and distributed information, and (ii) a theoretical evaluation of existing systems engineering processes according to various criteria measuring their robustness to strategic behavior. The specific outcomes include information systems and reward/penalty structures encountered in established systems engineering processes, principal and agent utilities capable of taking into account empirical behavioral characteristics, characterization of agent design abilities and how they relate to the uncertainty of the process outcome, network game representation of established hierarchical systems engineering processes, characterization of hierarchical systems engineering network game equilibria, multi-stage network game representation of dynamic systems engineering processes, and characterization of dynamic systems engineering processes equilibria according to various criteria, e.g., the organizational utility at equilibrium, the total welfare of subsystem engineering teams, incentive compatibility, and more. The results of this project will be disseminated through publications, workshops, open source software, and an online data repository.
本项目的目标是提高对不完全信息下的战略行为对系统工程项目的影响的理解。现代工程项目的复杂性要求协调多个组织中数千人的活动。系统工程通过对问题进行分层分解、将需求向下传递、分包等经过良好记录的过程来解决这种复杂性。然而,这种系统工程过程通常会导致严重的成本超支和进度拖延。这对社会和纳税人来说都是巨大的损失(据估计,仅美国国防部每天的损失就超过2亿美元)。这项研究项目将质疑当前系统工程过程背后的假设,并增进对改进系统工程实践所需的理解。为了能够进一步研究这一重要问题领域,作为该项目一部分产生的研究工具和数据将通过基于网络的储存库免费提供。将组织一次讲习班,以应对这一领域的研究和教育挑战。这项研究的结果可能影响任何类型的大型工程系统的发展,包括航空航天、国防、交通和能源系统。在该项目中,系统工程过程将被建模为不完全信息的动态网络博弈。这将通过三个建模步骤来完成,包括:工程师在系统和子系统级别上的交互、分层系统工程过程和动态系统工程过程。该项目的总体预期结果是(I)考虑战略决策和分布式信息的系统工程基础理论,以及(Ii)根据衡量其对战略行为的稳健性的各种标准对现有系统工程过程进行的理论评估。具体结果包括在已建立的系统工程过程中遇到的信息系统和奖励/惩罚结构,能够考虑经验行为特征的委托人和代理人效用,代理设计能力的表征及其如何与过程结果的不确定性相关,已建立的分层系统工程过程的网络博弈表示,分层系统工程网络博弈均衡的表征,动态系统工程过程的多阶段网络博弈表示,以及根据各种标准的动态系统工程过程均衡的表征,例如,处于均衡的组织效用、子系统工程团队的总福利、激励兼容性等等。该项目的成果将通过出版物、讲习班、开放源码软件和一个在线数据储存库传播。

项目成果

期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Bayesian Hierarchical Model for Extracting Individuals' Theory-based Causal Knowledge
用于提取个体基于理论的因果知识的贝叶斯分层模型
Toward a Theory of Systems Engineering Processes: A Principal–Agent Model of a One-Shot, Shallow Process
  • DOI:
    10.1109/jsyst.2020.2964668
  • 发表时间:
    2019-03
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Salar Safarkhani;Ilias Bilionis;Jitesh H. Panchal
  • 通讯作者:
    Salar Safarkhani;Ilias Bilionis;Jitesh H. Panchal
A Principal-Agent Model of Systems Engineering Processes with Application to Satellite Design
系统工程过程的委托代理模型及其在卫星设计中的应用
A Mixed-Method Analysis of Schedule and Cost Growth in Defense Acquisition Programs
国防采办计划进度和成本增长的混合方法分析
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hans, A.;Chaudhari, A.M.;Bilionis, I.;Panchal, J.H.
  • 通讯作者:
    Panchal, J.H.
Evaluating Heuristics in Engineering Design: A Reinforcement Learning Approach
评估工程设计中的启发式方法:强化学习方法
  • DOI:
    10.1115/detc2021-70425
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    ElSayed, Karim A.;Bilionis, Ilias;Panchal, Jitesh H.
  • 通讯作者:
    Panchal, Jitesh H.
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Ilias Bilionis其他文献

Data Driven Modeling of Turbocharger Turbine using Koopman Operator
使用 Koopman 算子对涡轮增压器涡轮进行数据驱动建模
  • DOI:
    10.48550/arxiv.2204.10421
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shrenik Zinage;Suyash Jadhav;Yifei Zhou;Ilias Bilionis;P. Meckl
  • 通讯作者:
    P. Meckl
Unbalanced optimal transport for stochastic particle tracking
随机粒子跟踪的不平衡最优传输
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kairui Hao;Atharva Hans;P. Vlachos;Ilias Bilionis
  • 通讯作者:
    Ilias Bilionis
Optimizing autoinjector devices using physics-based simulations and Gaussian processes.
使用基于物理的模拟和高斯过程优化自动注射器设备。
Role of Cyber-Physical Testing in Developing Resilient Extraterrestrial Habitats
网络物理测试在开发有弹性的外星栖息地中的作用
Signed Distance Function-Based Analytical Modeling of Electric Machine Geometry
基于符号距离函数的电机几何分析建模
  • DOI:
    10.1109/peci61370.2024.10525252
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andrés Beltrán;Raquel Sandoval;Ilias Bilionis;Dionysios Aliprantis
  • 通讯作者:
    Dionysios Aliprantis

Ilias Bilionis的其他文献

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{{ truncateString('Ilias Bilionis', 18)}}的其他基金

AMPS: Collaborative Research: Efficient Algorithms for Ultra-Fast Detection of Power System Contingencies in the Transient Regime
AMPS:协作研究:瞬态状态下电力系统突发事件超快速检测的高效算法
  • 批准号:
    1736437
  • 财政年份:
    2018
  • 资助金额:
    $ 50.29万
  • 项目类别:
    Continuing Grant

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