Korea – Import Bans, and Testing and Certification Requirements for Radionuclides (Korea–Radionuclides (Japan)), DS495

2019 ◽  
Vol 18 (3) ◽  
pp. 533-535
Author(s):  
Marcus Sohlberg ◽  
Ariane Yvon
Keyword(s):  
Food Security ◽  
Food Safety ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Additional Testing ◽  
Fishery Products ◽  
Phytosanitary Measures ◽  
Food Imports ◽  
Certification Requirements

The dispute concerns a variety of Korean measures imposed in relation to food imports from Japan following its nuclear accident at Fukushima Dai-ichi Nuclear Power Plant on 11 March 2011. Korea imposed import bans and additional testing and certification requirements in relation to a broad range of fish and non-fishery products from Japan to ensure food safety arising from the possible presence of radionuclides in the food imports. These measures were subject to challenge by Japan under the WTO Agreement on the Application of Sanitary and Phytosanitary Measures (‘SPS Agreement’), which applies, among others, to WTO Members’ measures on food security.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

Sign in / Sign up

Export Citation Format

Share Document