Risk-Based Decision-Making Framework for Implementation of Collaboration and Integration Strategies

被引:2
作者
Kim, Suryeon [1 ]
Ghimire, Prashnna [2 ]
Barutha, Philip [3 ]
Jeong, H. David [1 ]
机构
[1] Texas A&M Univ, Dept Construct Sci, College Stn, TX 77840 USA
[2] Univ Nebraska, Durham Sch Architectural Engn & Construct, Lincoln, NE 68583 USA
[3] Univ Notre Dame, Civil & Environm Engn, Notre Dame, IN 46556 USA
关键词
Collaboration and integration strategies; Risk-based decision-making; Elimination and choice translating reality III (ELECTRE III); ELECTRE III METHOD; PROJECT DELIVERY; SUPPLIER SELECTION; PERFORMANCE; DESIGN; SYSTEM; MANAGEMENT; SAFETY;
D O I
10.1061/JMENEA.MEENG-5719
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As construction projects have become larger and more complex, collaboration between project participants and the integration of work processes have become essential elements in delivering a successful project. Collaboration and integration strategies serve as vehicles to enhance these aspects and are known to significantly improve project outcomes. However, limited organizational resources may make it challenging to employ all these strategies on a single project. A project team needs proper guidance in selecting the most appropriate strategies to maximize its return on investment. Previous research has primarily focused on measuring and estimating the effectiveness and efficiency of these strategies rather than on providing a systematic approach for selecting them before a project begins. Given that these strategies often involve significant behavioral changes and financial investments, the implementation of a systematic decision-making framework is imperative. In this study, we developed a decision-making framework that enables project participants to systematically identify the most suitable collaboration and integration strategies based on the specific risks associated with a construction project. A multicriteria decision-making technique based on the elimination and choice translating reality III (ELECTRE III) algorithm was applied in this research, and industry-wide questionnaire survey responses provided input to the model. In this study, we used three hypothetical scenarios to demonstrate the decision-making process and validated the framework with two case study projects. The proposed risk-based decision-making framework aligned with actual practices and turned out to be reliable and effective. The findings of this study are expected to aid project stakeholders and participants in selecting optimal combinations of collaboration and integration strategies that can provide maximum value to projects. The proposed framework will enhance project participants' decision-making capabilities by providing a systematic approach that takes multiple project risks into account simultaneously and maximizes decision flexibility. Collaboration among project participants and the integration of work processes are essential for improving project outcomes in the construction industry. A range of strategies is available for promoting collaboration and integration, enhancing project value and performance. The selection of the most suitable strategies is crucial, considering limited organizational resources that must be allocated wisely in order to maintain competitiveness. In this study, we identified 22 collaboration and integration strategies and proposed a risk-based decision-making framework for the selection of the optimal strategies. Project participants can systematically prioritize these strategies based on a project's risk profile, which is established in the early stages of a project. This framework offers flexibility in decision-making and allows for hierarchical prioritization. It serves as a valuable tool for project participants who may lack experience with or knowledge of collaboration and integration strategies, facilitating well-informed decisions that take project-specific risks into account. Furthermore, the framework provides insights into bundling strategies, which can reduce redundancy and minimize organizational investment. These benefits contribute to a more streamlined decision-making process.
引用
收藏
页数:16
相关论文
共 50 条
[31]   Risk-based decision making to evaluate pollutant reduction scenarios [J].
Ahmadisharaf, Ebrahim ;
Benham, Brian L. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 702
[32]   A combined interval TOPSIS with multiple sensitivity strategies decision-making framework [J].
Yang, Xi ;
Chen, Zhihe .
JOURNAL OF CLEANER PRODUCTION, 2023, 422
[33]   A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines [J].
Samantra, Chitrasen ;
Datta, Saurav ;
Mahapatra, Siba Sankar .
INTERNATIONAL JOURNAL OF INJURY CONTROL AND SAFETY PROMOTION, 2017, 24 (01) :54-68
[34]   A decision support system to assess the operational safety and economic benefits of risk-based inspection implementation strategies [J].
Oropallo, Eugenio ;
Piscopo, Paolo ;
Centobelli, Piera ;
Cerchione, Roberto ;
Nuevo, Eduardo ;
Rodriguez-Prieto, Alvaro .
SAFETY SCIENCE, 2024, 177
[35]   A risk-based multi-criteria decision-making framework for offshore green hydrogen system developments: Pathways for utilizing existing and new infrastructure [J].
Kumar, Sumit ;
Arzaghi, Ehsan ;
Baalisampang, Til ;
Abaei, Mohammad Mahdi ;
Garaniya, Vikram ;
Abbassi, Rouzbeh .
SUSTAINABLE PRODUCTION AND CONSUMPTION, 2024, 46 :655-678
[36]   Sex differences in risk-based decision-making and the modulation of risk preference by dopamine-2 like receptors in rats [J].
Ayoub, Samantha M. ;
Libster, Avraham M. ;
Barnes, Samuel A. ;
Dulawa, Stephanie C. ;
Young, Jared W. .
NEUROPHARMACOLOGY, 2024, 248
[37]   Framework of Risk-based Decision Support System in Crime Investigation [J].
Noor, Noor Maizura Mohamad ;
Ghazali, Ahmad Faiz ;
Saman, Md Yazid Mohd ;
Nor, Mohd Nazli Mohd .
DSS 2.0 - SUPPORTING DECISION MAKING WITH NEW TECHNOLOGIES, 2014, 261 :447-458
[38]   Decision-Making and Selection Framework for Potential Implementation of Concentrated Solar Power Technologies: Case Study [J].
Magalhaes, Maycon Figueira ;
Mselle, Boniface Dominick ;
Galindo, Francisca .
ENERGIES, 2025, 18 (07)
[39]   Uncertainty Analysis of Interdependencies in Dynamic Infrastructure Recovery: Applications in Risk-Based Decision Making [J].
Barker, Kash ;
Haimes, Yacov Y. .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2009, 15 (04) :394-405
[40]   Risk information in decision-making: definitions, requirements and various functions [J].
Zhu, Tiantian ;
Haugen, Stein ;
Liu, Yiliu .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2021, 72