An Integrated Efficiency-Risk Approach in Sustainable Project Control

被引:3
作者
Ghazvini, Mohammadreza Sharifi [1 ]
Ghezavati, Vahidreza [1 ]
Raissi, Sadigh [1 ]
Makui, Ahmad [2 ]
机构
[1] Islamic Azad Univ, South Tehran Branch, Sch Ind Engn, Tehran 1151863411, Iran
[2] Iran Univ Sci & Technol, Dept Ind Engn, Tehran 1684613114, Iran
关键词
efficiency; risk; critical chain; earned value; schedule buffer; cost buffer; EARNED VALUE MANAGEMENT; CRITICAL CHAIN; VALUE METRICS; SCHEDULE; DURATION;
D O I
10.3390/su9091575
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The lack of integrated project control techniques covering both qualitative and quantitative indices is one of the most important reasons leading to unfinished projects under predetermined schedules and expected budgets. Two modern techniques proposed in project control-the critical chain method and buffer management (CCM/BM), and the earned value analysis or earned value management and earned schedule (EVM/ES)-both have advantages and disadvantages. Goldratt proposed the CCM/BM method in 1997 based on the theory of constraint (TOC), but this method was not successful despite some improvements in project control because of some executive reasons. The most noteworthy constraint of this method is the management of time and time risks (use of a time buffer) of the project more than the subject. Goldratt believed that time control could be the most critical issue in project control. In other words, the overall problems associated with each project can be solved as long as the buffer time is under control and there is no need to control the other items. EVM/ES is one of the important techniques used to calculate real project development; it has been used for the integrated management of sustainable projects in recent decades. Using this technique, project managers can predict the final status of the project in terms of the necessary time and cost to finish the project. However, this method is limited by the management of the project cost and the lack of interference in the project risks. In sum, the CCM/BM method focuses on time and its risks associated with the project, thus making it advantageous to other techniques. Conversely, EVM/ES focuses on the costs or schedule with non-probabilistic assumptions, giving some interesting results. Therefore, this study aims to represent an integrated framework that considers the advantages of both CCM/BM and EVM/ES, called the efficiency-risk approach, which is implemented to control sustainable projects efficiently. This hybrid form can simultaneously control all the parameters, including both quantitative and qualitative variables, time, cost, and risk in conjunction with the project. Schedule and cost buffers of the project are derived using new formulations that provide appropriate estimations on the duration and cost for completing the sustainable projects and the relevant risks. The proposed ideas are analyzed and described through an industrial case study in the Steel Company, Isfahan, Iran.
引用
收藏
页数:20
相关论文
共 36 条
  • [1] Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques
    Acebes, Fernando
    Pereda, Maria
    Poza, David
    Pajares, Javier
    Manuel Galan, Jose
    [J]. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2015, 33 (07) : 1597 - 1609
  • [2] Beyond Earned Value Management: A Graphical Framework for Integrated Cost, Schedule and Risk Monitoring
    Acebes, Fernando
    Pajares, Javier
    Manuel Galan, Jose
    Lopez-Paredes, Adolfo
    [J]. SELECTED PAPERS FROM THE 26TH IPMA (INTERNATIONAL PROJECT MANAGEMENT ASSOCIATION), WORLD CONGRESS, 2013, 74 : 181 - 189
  • [3] [Anonymous], GUID PROJ MAN BOD KN
  • [4] [Anonymous], THEORY CONSTRAINTS T
  • [5] Evaluation of deterministic state-of-the-art forecasting approaches for project duration based on earned value management
    Batselier, Jordy
    Vanhoucke, Mario
    [J]. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2015, 33 (07) : 1588 - 1596
  • [6] Economic Sustainability in Franchising: A Model to Predict Franchisor Success or Failure
    Calderon-Monge, Esther
    Pastor-Sanz, Ivan
    Huerta-Zavala, Pilar
    [J]. SUSTAINABILITY, 2017, 9 (08):
  • [7] Earned value project management: Improving the predictive power of planned value
    Chen, Hong Long
    Chen, Wei Tong
    Lin, Ying Lien
    [J]. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2016, 34 (01) : 22 - 29
  • [8] Improving Forecasting Accuracy of Project Earned Value Metrics: Linear Modeling Approach
    Chen, Hong Long
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2014, 30 (02) : 135 - 145
  • [9] Visualized EVM system for assessing project performance
    Chou, Jui-Sheng
    Chen, Hung-Ming
    Hou, Chuan-Chien
    Lin, Chun-Wei
    [J]. AUTOMATION IN CONSTRUCTION, 2010, 19 (05) : 596 - 607
  • [10] A multivariate approach for top-down project control using earned value management
    Colin, Jeroen
    Martens, Annelies
    Vanhoucke, Mario
    Wauters, Mathieu
    [J]. DECISION SUPPORT SYSTEMS, 2015, 79 : 65 - 76