Developing a Hierarchical Decision Model to Evaluate Nuclear Power Plant Alternative Siting Technologies

Lingga, Marwan Mossa

doi:10.15760/etd.2938

Cited by 8 publications

(7 citation statements)

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“…Marwan Mossa Lingga [5] involved the development of a decision model for evaluating several potential NPP site technologies, both those that are currently available and future ones. The decision model was developed based on the Hierarchical Decision Modeling (HDM) methodology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Fuzzy conversion scale [26]. 3,4) Moderately important 5 = (4, 5,6) Strongly important 7 = (7, 8,9) Very strongly important 9 = (9, 9,9) Extremely strongly important 2, 4 , 6, 8 Intermediate values between two adjacent judgments; 2 = (1, 2, 3); 4 = (3, 4, 5); 6 = (5, 6, 7); 8 = (7, 8,9); These scales were proposed by Saaty and are shown in Table 2 [27]. Step 3: Calculating maximum individual value…”

Section: Fuzzy Analytic Network Process (Fanp)mentioning

confidence: 99%

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Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions

Wang

Nguyễn

2018

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The demands for energy in general and electrical power in particular in the process of industrialization–modernization in Vietnam are increasing. Although other renewable energy sources such as wind and solar power have been prioritized, they cannot compensate for the shortages of electricity in Vietnam; moreover, traditional energy sources in Vietnam are not endless and will soon reach exhaustion. Nowadays, the government has chosen a solution to maximize domestic energy resources, i.e., develop renewable energy combined with importing coal and gas in appropriate proportions with the construction of nuclear power plants (NPP), which may be the optimal solution to ensure energy security, environmental protection, and sustainable development. However, site selection for construction of a nuclear power plant is one of the most difficult decisions that management faces. Thus, the authors proposed multicriteria decision-making (MCDM), including a fuzzy analytic network process (FANP) and technique for order preference by similarity of an ideal solution (TOPSIS) for NPP location selection in Vietnam. In the first stages of this research, the weight of all criteria and subcriteria will be calculated by an ANP model using fuzzy logic. A TOPSIS model is proposed for ranking all potential locations in the final stage. The results reveal that Binh Thuan is the best place for building an NPP in Vietnam. The contributions of this research include a fuzzy multicriteria decision-making (F-MCDM) approach for NPP site selection in Vietnam. This research also utilizes the evolution of a new approach that is flexible and practical for the decision-maker and provides useful guidelines for NPP site selection in countries around the world.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Fuzzy Analytic Network Process (Fanp)mentioning

confidence: 99%

Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions

Wang

Nguyễn

2018

Symmetry

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“…Following references cover the above points: (Estep 2017;Lingga 2016;Gibson 2016;Phan 2013, Sheikh 2013Martin et al 2012;Kuhnert et al 2010;Kynn 2007;O'Hagan et al 2006;Smith 2006;Okoli and Pawlowski 2004;Kerkering 2002;Kitchenham et al 2002;Langfeldt 2002;Lauesen and Vinter 2001;Meyer and Booker 2001;Cooke 1991;Kocaoglu 1983).…”

Section: Challenges and Considerationsmentioning

confidence: 99%

“…If those subgroups represent homogeneous background, then the overall disagreement can be attributed to this reason and assumed acceptable (Gibson 2016;Abotah 2014(Estep 2017;Lingga 2016;Phan 2013;Sheikh 2013;Sweet and Grace-Martin 2012;Shrout and Fleiss 1979).In this approach, F-test is used to determine whether #A is equal to zero. The null…”

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confidence: 99%

Development of a Readiness Assessment Model for Evaluating Big Data Projects: Case Study of Smart City in Oregon, USA

Barham¹

2000

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Big data projects are facing an alarmingly high percentage of failure, with severe consequences related to the cost of this type of projects, the waste of resources and efforts in doing it, and the competitive disadvantage caused by the lack of big data analytics capabilities in comparison with competitors. Furthermore, there is a decent amount of research on the main challenges facing big data projects. However, there is a lack of research on how to leverage on this knowledge to evaluate an organization's readiness for a big data project, more specifically, how to systematically assess an organization's current status against known reasons that might cause a big data project to fail. Hence, identifying shortcomings that need to be addressed before the project start, to reduce vi TABLE OF CONTENTS

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“…The inconsistency value can be determined by calculating the square root of the sum of variances of the means of number variables [300]. In this Level 3, the individual inconsistency was acceptable for all sub-criteria.…”

Section: Inconsistency and Disagreementmentioning

confidence: 99%

Evaluating Project Assessment Techniques for High-Profile Transportation Projects Development and Delivery: Case of State Departments of Transportation (DOTs) in the United States

Khalifa¹

2000

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Time delays and cost overruns in construction projects are generally due to factors such as inappropriate planning, design errors, unexpected site conditions, inadvisable tools selection, change scope, weather conditions, lack of resources, and other project changes.Time delays and cost overruns are of concern to most project managers, owners, and governments. These elements of time and cost are two of the critical defects that impact the construction project delivery. These defects can lead to project failures and to various negative issues like increasing in disagreements among the project team, the contractor, suppliers, and the owner.State Departments of Transportation (DOTs) in the U.S. continue to spend heavily on roads, highways, and bridges construction, as well as development, maintenance, and expansion. This continued financial commitment reflects decades of commitment to improve the transportation service for safer and better use by the general public. Despite the notable efforts from most of the states to develop the transportation infrastructure, budget restrictions and lack of funds are some of the major challenges faced by DOTs.Highway and bridge infrastructure has a high potential growth in the U.S. construction market. Well-organized highway and bridge project investment decision-making becomes increasingly crucial in the transportation sector. In this research, transportation is specified to highway and bridge projects, and it focused on high-profile projects. These projects are ii defined as high-cost projects, and are associated with higher project delivery risk (typically $100 -$500 million).All states are working with their state transportation plan, listing the projects based on each state priorities and population growth. Proper planning leads to the right decision regarding selecting the best alternative within budget, and it must reflect certain core principles, including a comprehensive analysis. To facilitate such a decision process, decision makers need a trusted decision model that considers all important options and impacts. By using a decision model, decision-making will not be subjectively influenced to favor one option or group. The decision model becomes the primary tool for selecting the best option, based on its structure levels, perspectives, sub-criteria, and experts' input.Recently, there is an apparent need for a decision model to help DOTs evaluating their options. Effective project delivery assessment tools, techniques, or practices are strongly needed to improve transportation construction projects' performance.The research objective is to develop a comprehensive decision model that can be used by project managers and their teams to choose the most effective project assessment technique for measuring the success of performance and outcomes related to the delivery of transportation projects. This research was focused on the assessment techniques that are used in the development phase within the transportation project lifecycle phases.To this end, the research identified ...

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Developing a Hierarchical Decision Model to Evaluate Nuclear Power Plant Alternative Siting Technologies

Cited by 8 publications

References 50 publications

Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions

Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions

Development of a Readiness Assessment Model for Evaluating Big Data Projects: Case Study of Smart City in Oregon, USA

Evaluating Project Assessment Techniques for High-Profile Transportation Projects Development and Delivery: Case of State Departments of Transportation (DOTs) in the United States

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