Financial Analysis and Optimization for Linear Scheduling Model of Construction Projects with Integrated Singularity Functions

集成奇异函数的建设项目线性调度模型财务分析与优化

基本信息

  • 批准号:
    0927455
  • 负责人:
  • 金额:
    $ 17.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-08-15 至 2013-07-31
  • 项目状态:
    已结题

项目摘要

The objective of this project is to investigate a novel approach for planning construction projects by modeling, analyzing, and supporting the optimization of their cash flows with a unique type of mathematical expressions called singularity functions. These versatile functions define sequential ranges for the variable of interest, which can be of any order. They had been used in engineering to describe and solve varied loading scenarios onto structural elements and under a prior research study were newly applied to linear schedules, i.e. two-dimensional plans for work progress over consumed time that created improved analytical capabilities in terms of the time component. However, the central element of cost, which occurs as outflows for e.g. materials, equipment, and labor versus inflows from owner's progress payments, remained unsolved. Its complex behavior is impacted by the timing of activities and payment requests and receipts, which in turn are subject to various constraints, e.g. financing terms and conditions. The ability to manage these elements impacts the profitability of any construction firm directly and ultimately determines its economic survival. Despite this fundamental importance, cash flows have been viewed as being difficult to describe in one comprehensive model and were typically merely approximated or even averaged. This project will remedy this conceptual gap in the body of knowledge that will also build a direct link between the scheduling and budgeting functions of project management. The resulting method will function in synergy with linear schedules and also as a stand-alone solution.To ensure the practical applicability of this research, the project will include a collaboration with partners companies from the construction industry who have agreed to provide real project data for validation of the new approach. These projects will serve as case studies to test the algorithm and the new functions that will express e.g. one-time or repeated payments, principal and interest, and possible special provisions, e.g. owner's retainage that is withheld until completion. Their detailed annotated analysis will be shared with the firms and in a seminar for project managers. The research work will be interwoven with educational outreach activities in campus programs of student organizations and at a high school mentoring program that revolves around construction careers. The PI will contribute a game-style exercise on basics of financial planning to its group of minority youth, which will be disseminated through the national mentor organization. Students in this program can use this newfound knowledge when working on their publicly presented team project and may also benefit from it for their personal lives. Students at the PI's institution will receive course modules on the new financial planning, whose effectiveness will be measured. The graduate research assistant will participate in a carefully designed program that will encompass a series of training elements in research, teaching, and service to prepare for an academic career. Overall, this project bears the potential to become an important addition to the toolkit of project managers in construction and other industries by providing an methodology for integrated cash flow modeling, analysis, and optimization that is both useful in practice and eminently teachable. It will contribute to society by (a) improving the financial planning capabilities of contracting firms to support their profitability, (b) broadly educating the graduate assistant, (c) engaging the PI in a project that fuses research, teaching, and service work, (d) increasing the awareness of underrepresented youth with respect to financial planning and careers in the construction industry in, and (e) laying the foundation for further innovative modeling that advances project planning.
该项目的目标是研究一种新的规划建设项目的方法,通过建模、分析和支持使用称为奇点函数的独特类型的数学表达式来优化建设项目的现金流。这些多功能函数定义了感兴趣变量的顺序范围,其可以是任何顺序。它们在工程上被用来描述和解决各种加载到结构构件上的情况,根据先前的一项研究,新的研究被应用于线性时间表,即关于所消耗时间的工作进度的二维计划,在时间部分方面创造了更好的分析能力。然而,成本的核心要素,例如材料、设备和劳动力的流出与业主进度付款的流入,仍然没有解决。其复杂的行为受到活动和付款请求和收据的时间安排的影响,而这些时间安排又受到各种限制,例如融资条款和条件。管理这些要素的能力直接影响到任何建筑公司的盈利能力,并最终决定其经济生存。尽管有这种基本重要性,但人们一直认为现金流很难用一个全面的模型来描述,通常只是近似甚至平均。该项目将弥补知识体系中的这一概念空白,这也将在项目管理的日程安排和预算编制职能之间建立直接联系。为了确保这项研究的实际适用性,该项目将包括与建筑行业的合作伙伴公司合作,这些公司同意为新方法的验证提供真实的项目数据。这些项目将作为案例研究,以测试算法和新功能,这些功能将表示例如一次性或重复付款、本金和利息,以及可能的特殊规定,例如在完成之前扣留的所有者保留金。他们详细的注释分析将与这些公司分享,并将在项目经理研讨会上分享。研究工作将与校园计划、学生组织和围绕建筑职业的高中指导计划中的教育推广活动交织在一起。国际和平协会将向其少数族裔青年群体提供一个关于财务规划基础知识的游戏式练习,并将通过国家导师组织进行传播。这个项目的学生可以在他们公开展示的团队项目中使用这些新发现的知识,并可能在他们的个人生活中受益。PI所在机构的学生将接受关于新财务规划的课程模块,其有效性将得到衡量。研究生研究助理将参加一个精心设计的计划,该计划将包括一系列研究、教学和服务方面的培训元素,为学术生涯做准备。总体而言,该项目有可能成为建筑业和其他行业项目经理工具箱的重要补充,通过提供一种在实践中有用且极具可教性的综合现金流建模、分析和优化方法。它将通过以下方式对社会作出贡献:(A)提高承包公司的财务规划能力,以支持他们的盈利能力;(B)对研究生助理进行广泛的教育;(C)让专业人员参与一个融合研究、教学和服务工作的项目;(D)提高未被充分代表的青年对财务规划和建筑业职业的认识;以及(E)为进一步推动项目规划的创新建模奠定基础。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Gunnar Lucko其他文献

Continuous earned value management with singularity functions for comprehensive project performance tracking and forecasting
使用奇异函数的持续挣值管理用于全面项目绩效跟踪和预测
  • DOI:
    10.1016/j.autcon.2022.104583
  • 发表时间:
    2022-11-01
  • 期刊:
  • 影响因子:
    11.500
  • 作者:
    Kiet A. Ngo;Gunnar Lucko;Pablo Ballesteros-Pérez
  • 通讯作者:
    Pablo Ballesteros-Pérez

Gunnar Lucko的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Gunnar Lucko', 18)}}的其他基金

Drawing on Concepts in Finance for Construction Schedule Performance Measurement
借鉴财务概念进行施工进度绩效衡量
  • 批准号:
    1536005
  • 财政年份:
    2015
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
Construction Engineering Conference and Workshop 2014: Setting an Industry-Academic Collaborative Research Agenda, Seattle, Washington, March 27-29, 2014
2014 年建筑工程会议和研讨会:制定行业学术合作研究议程,华盛顿州西雅图,2014 年 3 月 27-29 日
  • 批准号:
    1353242
  • 财政年份:
    2013
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
A Discrete Method for Allocation of Float Along the Critical Path in Construction Project Schedules
施工项目进度关键路径浮动分配的离散方法
  • 批准号:
    1265989
  • 财政年份:
    2013
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
Enabling Higher Dimensionality of Temporal-Spatial Analysis Applied to Linear Scheduling of Construction Operations Based on Singularity Functions in Structural Engineering
在结构工程中基于奇异函数的施工作业线性调度中实现更高维度的时空分析
  • 批准号:
    0654318
  • 财政年份:
    2007
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant

相似国自然基金

Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    合作创新研究团队
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国学者研究基金项目
基于Meta-analysis的新疆棉花灌水增产模型研究
  • 批准号:
    41601604
  • 批准年份:
    2016
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
大规模微阵列数据组的meta-analysis方法研究
  • 批准号:
    31100958
  • 批准年份:
    2011
  • 资助金额:
    20.0 万元
  • 项目类别:
    青年科学基金项目
用“后合成核磁共振分析”(retrobiosynthetic NMR analysis)技术阐明青蒿素生物合成途径
  • 批准号:
    30470153
  • 批准年份:
    2004
  • 资助金额:
    22.0 万元
  • 项目类别:
    面上项目

相似海外基金

CAREER: Modeling, Optimization, and Equilibrium Formulations for the Analysis and Design of Circular Economy Networks
职业:循环经济网络分析和设计的建模、优化和平衡公式
  • 批准号:
    2339068
  • 财政年份:
    2024
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Continuing Grant
Design and Analysis of Algorithms for Structured Optimization
结构化优化算法的设计与分析
  • 批准号:
    2307328
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
Design, Analysis, and Optimization of Equitable and Value-based Baseline Testing Policies for Sports-Related Concussion
运动相关脑震荡公平且基于价值的基线测试政策的设计、分析和优化
  • 批准号:
    10649169
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
CAREER: Static, Dynamic and Kinematic Analysis and Optimization of Tensegrity Structures through Cellular Morphogenesis
职业:通过细胞形态发生对张拉整体结构进行静态、动态和运动学分析和优化
  • 批准号:
    2238724
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
Optimization of mRNA-LNP vaccine for attenuating adverse effects and analysis of mechanism behind adverse effects
mRNA-LNP疫苗减轻不良反应的优化及不良反应机制分析
  • 批准号:
    23K15383
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Optimization of combined and sequential treatment of head and neck cancer by analysis of cancer microenvironment
癌症微环境分析优化头颈癌联合序贯治疗
  • 批准号:
    23K15891
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Analysis of Dynamical Structure in the Chaotic Region and Application to Trajectory Design and Optimization
混沌区域动力结构分析及其在轨迹设计与优化中的应用
  • 批准号:
    23KJ1692
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Analysis of compact objects by a new optimization solver
通过新的优化求解器分析紧凑对象
  • 批准号:
    23K03222
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Analysis of a Hydrogen Powered Train Performance using Inverse Simulation and Biologically Inspired Optimization Techniques
使用逆向仿真和仿生优化技术分析氢动力列车性能
  • 批准号:
    2907952
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Studentship
Hierarchical Geometric Accelerated Optimization, Collision-based Constraint Satisfaction, and Sensitivity Analysis for VLSI Chip Design
VLSI 芯片设计的分层几何加速优化、基于碰撞的约束满足和灵敏度分析
  • 批准号:
    2307801
  • 财政年份:
    2023
  • 资助金额:
    $ 17.35万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了