scholarly journals A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 252 ◽  
Author(s):  
Heng-ming Peng ◽  
Xiao-kang Wang ◽  
Tie-li Wang ◽  
Ya-hua Liu ◽  
Jian-qiang Wang

To promote the development of nuclear power project in inland China, a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.

2021 ◽  
Vol 23 (1) ◽  
pp. 51
Author(s):  
Ari Nugroho ◽  
Eko Kusratmoko ◽  
Tito L. Indra

PREFERRED SITE SELECTION USING GIS AND AHP: CASE STUDY IN BANGKA ISLAND NPP SITE. Industrial growth affects the increasing demand for electricity in various places, this also occurs on the island of Bangka. So far, electricity supply has only been obtained from fossil fuel power plants with inadequate capacity, unstable flow and depending on fuel supplies from outside the island. For this reason, it is necessary to build a Nuclear Power Plant (PLTN) which is believed to be reliable and able to overcome these problems. In order to prepare a safe and economical nuclear power plant site, influential parameters such as population density, cooling system, land clearing, cut and fill, and granite for the foundation have been analyzed. The novelty of this analysis lies in 2 methods which gradually used before come up with a final decision, namely spatial analysis and pairwise comparison using Geographic Information Systems (GIS) and Analytical Hierarchy Process (AHP), respectively. The scope of study area is based on the site vicinity (1:5.000) scale, located in the districts of West and South Bangka. The siting process refers to the rules set by the International Atomic Energy Agency (IAEA). Based on the final results of the analysis using the expert choice program, the numerical weights for West Bangka and South Bangka were 0.709 and 0.291, respectively, with a consistency value of 0.03.


2012 ◽  
pp. 377-392
Author(s):  
Jannes Slomp ◽  
Jos A.C. Bokhorst

One of the most important design decisions in a firm is the choice for a manufacturing layout type. This chapter shows which aspects have to be taken into account and suggests a systematic method for the decision problem. The method can be seen as a decision support framework, which links the various aspects. The framework is based on the AHP (Analytic Hierarchy Process) approach. A case study, concerning a Dutch firm, illustrates the applicability of the framework in a practical instance.


Author(s):  
Yujie Sun ◽  
Changzhi Chen

Abstract In order to make a comprehensive evaluation of many influencing factors on the site selection of nuclear power plants, and to make a quantitative judgment on the rank of candidate sites, a method of site selection based on analytic hierarchy process (AHP) and fuzzy evaluation is proposed. Firstly, based on the characteristics of design and research institute, the factors influencing the site selection of nuclear power plants are analyzed. The indicator of criterion layer and index layer influencing the site selection of nuclear power plant are determined based on specialty, and the decision-making system of site selection scheme is established. Secondly, based on AHP operation rules, the weights of system indicator are calculated. Thirdly, by determining the evaluation set, the evaluation matrix based on fuzzy theory was established, and the evaluation level of candidate sites was determined based on the principle of maximum membership degree. Finally, a practical nuclear power plant site selection project is used for theoretical verification. The candidate sites of nuclear power plants are ranked by the first and second level fuzzy comprehensive evaluation. The results show that the quantitative ranking of site based on AHP and fuzzy evaluation is consistent with the previous qualitative ranking of the project. The site selection method based on AHP -fuzzy evaluation is efficient.


Author(s):  
Jannes Slomp ◽  
Jos A.C. Bokhorst

One of the most important design decisions in a firm is the choice for a manufacturing layout type. This chapter shows which aspects have to be taken into account and suggests a systematic method for the decision problem. The method can be seen as a decision support framework, which links the various aspects. The framework is based on the AHP (Analytic Hierarchy Process) approach. A case study, concerning a Dutch firm, illustrates the applicability of the framework in a practical instance.


2020 ◽  
pp. 1-12
Author(s):  
Marko Bohanec ◽  
Ivan Vrbanić ◽  
Ivica Bašić ◽  
Klemen Debelak ◽  
Luka Štrubelj

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