scholarly journals Decision making in Engineering Projects.

2022 ◽  
Vol 196 ◽  
pp. 927-937
Author(s):  
Zakari Tsiga ◽  
Michael Emes
2013 ◽  
Vol 12 (1) ◽  
pp. 069-076
Author(s):  
Janusz Szelka ◽  
Zbigniew Wrona

The IT tools that are widely used for aiding information and decision-making tasks in engineering activities include classic database systems, and in the case of problems with poorly-recognised structure – systems with knowledge bases. The uniqueness of these categories of systems allows, however, neither to represent the approximate or imprecise nature of available data or knowledge nor to process fuzzy data. Since so far there have been no solutions related to the use of fuzzy databases or fuzzy knowledge bases in engineering projects, it seems necessary to make an attempt to assess the possible employment of these technologies to aid analytical and decision-making processes.


2020 ◽  
Vol 29 (4) ◽  
pp. 474-484
Author(s):  
Ivan Marović ◽  
Diana Car-Pušić ◽  
Martina Šopić ◽  
Ksenija Tijanić

The Analytical Hierarchy Process (AHP) and PROMETHEE have gained increasing attention in the field of construction management as techniques for the analysis of complex situations and as decision support for decision makers. However, these two methods in themselves or their potential applications to problems of construction management are not sufficiently defined in the existing literature. The environment of group decision-making bring even more challenges. This paper consolidates and critically discusses the current knowledge on the application of AHP and PROMETHEE methods in the light of the specifics of the construction industry. A systematic literature review was used to select the contributions indexed in the databases Scopus and Web of Science. The findings indicate that the studies deal with broad topics and different aspects in different phases of civil engineering projects. This paper provides a useful reference work for researchers and practitioners interested in the application of AHP and PROMEETHEE as tools for group decision-making in civil engineering.


2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Yan Liu ◽  
Ting-Hua Yi ◽  
Cui-Qin Wang

Investment decisions are usually made on the basis of the subjective judgments of experts subjected to the information gap during the preliminary stages of a project. As a consequence, a series of errors in risk prediction and/or decision-making will be generated leading to out of control investment and project failure. In this paper, the variable fuzzy set theory and intelligent algorithms integrated with case-based reasoning are presented. The proposed algorithm manages the numerous fuzzy concepts and variable factors of a project and also sets up the decision-making process in accordance with past cases and experiences. Furthermore, it decreases the calculation difficulty and reduces the decision-making reaction time. Three types of risk correlations combined with different characteristics of engineering projects are summarized, and each of these correlations is expounded at the project investment decision-making stage. Quantitative and qualitative change theories of variable fuzzy sets are also addressed for investment risk warning. The approach presented in this paper enables the risk analysis in a simple and intuitive manner and realizes the integration of objective and subjective risk assessments within the decision-makers' risk expectation.


2021 ◽  
pp. 1-11
Author(s):  
Zaohong Zhou ◽  
Yongwen Zou

Problems involving decision-making and management of engineering projects call for attention from different quarters and the issue of decision-making for projects under the state planning in particular should be the major concern of project management. This study takes a traditional village protection project —- the preservation of Zaoshi Village, Xingan County, Jiangxi Province, China—- as a case in point. Treating the decision-making process as a system, the study employs ISM model to examine the system-level relationship between engineering projects. Artificial Intelligence is utilized for analyzing the planning of project structure and Fuzzy TOPSIS model is useful in estimating the weights of the scenario and find the ranking of structure finally. Then, using the analytical data thus derived, the research focuses on identifying the optimum option for decision-making. By this process, the study intends to gain and share some insight into the issue and establish precedents for similar engineering projects.


2018 ◽  
Vol 7 (4) ◽  
pp. 76-97 ◽  
Author(s):  
Brian J. Galli

System engineering in complex systems has transitioned into a well detailed, universally accepted, client-oriented methodology. Unfortunately, this approach hasn't been adopted in most commercially mandated research and development organizations. This article acknowledges that to improve the success of projects, it is essential to understand the benefits of managing product requirement with system engineering. In discussion is the application of system engineering in improving the success rate through better requirement handling. It presents the elements of the relationship between system engineering and project management. The findings suggest that the full importance of applying system engineering can only be enjoyed if other pre-requisites on prudent decision-making are applied. Furthermore, the findings suggest guidance on ways of adopting system-engineering (SE) practices when implementing in large-scale engineering projects.


Author(s):  
Gonzalo Fernández Sánchez

The beginnings and progress in implementing sustainable development in different areas with large impacts on the environment, society, and economy in the last decade is summarized. Thus, the different existing approaches and possible future developments for applying the sustainability concept are analyzed, starting with municipalities and urban planning but also including the applications to engineering projects and companies in the recent search for global sustainable development. An analysis is developed of the weaknesses and strengths in existing proposals for assessing sustainability and the consideration of the basis for sustainable development in all sustainability assessment applications is proposed. Through this approach, from the lessons learned in previous experiences, a framework to manage and to create sustainability assessment models is proposed, including standard procedures, allowing trend settings to designers, the government, developers, and decision-making centers. Key performance indicators are being widely used in such applications, becoming the sustainability assessment tool of any project or activity. The ultimate aim of this chapter is to enhance the awareness of all stakeholders in the need for a more sustainable global development, considering actions not only in the immediate environment but also in indirect environments in space and time.


2020 ◽  
Vol 12 (10) ◽  
pp. 4280 ◽  
Author(s):  
Panagiotis K. Marhavilas ◽  
Michael G. Tegas ◽  
Georgios K. Koulinas ◽  
Dimitrios E. Koulouriotis

This study, on the one hand, develops a newfangled risk assessment and analysis (RAA) methodological approach (the MCDM-STO/DET one) for sustainable engineering projects by the amalgamation of a multicriteria decision-making (MCDM) process with the joint-collaboration of a deterministic (DET) and a stochastic (STO) process. On the other hand, proceeds to the application of MCDM-STO/DET at the workplaces of the Greek construction sector and also of the fixed-telecommunications technical projects of OTE SA (that is, the Greek Telecommunications Organization S.A.) by means of real accident data coming from two official State databases, namely of “SEPE” (Labor Inspectorate, Hellenic Ministry of Employment) and of “IKA” (Social Insurance Institution, Hellenic Ministry of Health), all the way through the period of the years2009–2016.Consequently, the article’s objectives are the following: (i) The implementation and execution of the joint MCDM-STO/DET framework, and (ii) to make known that the proposed MCDM-STO/DET algorithm can be a precious method for safety managers (and/or decision-makers) to ameliorate occupational safety and health (OSH) and to endorse the sustainable operation of technical or engineering projects as well. Mainly, we mingle two different configurations of the MCDM method, initially the Analytical Hierarchy-Process (the typical-AHP), and afterwards the Fuzzy-Extended AHP (the FEAHP) one, along with the Proportional Risk Assessment Technique (PRAT) and the analysis of Time-Series Processes (TSP), and finally with the Fault-Tree Analysis (FTA).


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