scholarly journals Aras ve Copras Yöntemleriyle Yozgat İlinde Kurulabilecek Biyogaz, Kompost, Vermikompost Tesislerinin Optimallik Sıralaması

2018 ◽  
Vol 6 (12) ◽  
pp. 1844 ◽  
Author(s):  
Rahim Arslan ◽  
HÜdaverdi Bircan ◽  
Hasan Eleroğlu
Keyword(s):  
Decision Making ◽  
Feasibility Study ◽  
Plant Location ◽  
Optimal Order ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Investment Value ◽  
Decision Making Problem ◽  
Animal Wastes ◽  
Total Investment

In this study, biogas, compost and vermicompost plant location selection problem, and the optimal order of the facilities planned to be established are considered as a multi-criteria decision making problem. This study was carried out in order to determine the optimal suitability of biogas, compost and vermicompost (worm manure) production facilities obtained from pre-feasibility study in order to determine and evaluate the animal and slaughterhouse wastes that were exposed in Yozgat region. The facilities included in the ranking were determined within the scope of the in Pre-Feasibility and Investment Conformity Study Project for Recycling of Animal Wastes in the TR72 Region Sır. The total investment amount to be established in Yozgat province is $249.9 million and 15 biogas which can generate 69 MW / hour of electricity with an income of 149 million dollars / year. 11 compost production centres with a total investment value of $7 million and revenue of $4.4 million / year; Optimum ordering of 3 production centre facilities with a total investment value of 1.7 million dollars and a revenue of 1.9 million dollars / year and a total of 2.746 tons / year vermicompost was made. Ordering was performed using ARAS and COPRAS methods. The first three sequences proposed in the ranking of clusters of facilities that can be established are as follows; biogas clusters 8, 11 and 15; compost clusters 5, 9, 3; vermicompost sets 2, 1 and 3.

scholarly journals SOLAR PV POWER PLANT LOCATION SELECTION USING A Z- FUZZY NUMBER BASED AHP

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Cengiz Kahraman ◽  
Irem Otay
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Solar Energy ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Fuzzy Numbers ◽  
Plant Location ◽  
Multi Criteria Decision Making ◽  
Solar Pv ◽  
Location Selection

One of the most used renewable energy systems to produce clean and sustainable energy are solar energy photovoltaic (PV) plants. The selection among solar energy PV plant location alternatives requires a multi-criteria decision making approach with several conflicting and linguistic criteria. The assessment process is generally done in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. In this paper, we select a location for a solar energy PV plant using a 4-level hierarchy. We consider several criteria and sub-criteria including initial cost, maintenance cost, slope and distance to highways. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. Z-fuzzy numbers can be viewed as a combination of crisp numbers, intervals, fuzzy numbers and random numbers because of their generality. They give a better representation than ordinary fuzzy numbers. This study solves the multi-criteria solar PV power plant location selection problem with a Z-fuzzy based AHP method. To check the applicability of the method proposed here, a real-life case study from Turkey is presented and solved.

scholarly journals Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1504 ◽  
Author(s):  
Chia-Nan Wang ◽  
Van Thanh Nguyen ◽  
Hoang Tuyet Nhi Thai ◽  
Duy Hung Duong
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Solar Power ◽  
Plant Location ◽  
Viet Nam ◽  
Multi Criteria Decision Making ◽  
Solar Power Plant ◽  
Location Selection

scholarly journals Samsun İlinde Kurulabilecek Kompost Tesislerinin COCOSO ve WASPAS Yöntemiyle Optimallik Sıralaması

2022 ◽  
Vol 9 (sp) ◽  
pp. 2515-2522
Author(s):  
Sinan Dündar ◽  
Hüdaverdi Bircan ◽  
Hasan Eleroğlu
Keyword(s):  
Decision Making ◽  
Soil Structure ◽  
Plant Location ◽  
Multi Criteria Decision Making ◽  
Cluster Number ◽  
The Third ◽  
Decision Making Problem ◽  
Criteria Weights ◽  
Compost Plant ◽  
Optimal Ranking

The compost product, which offers many benefits such as the evaluation of organic wastes, improvement of soil structure, neutralization of toxins and pH balance of the soil, has significant potential for the improvement of our country's lands. Considering the development of animal existence in our country, the production of compost product to be obtained from feces, which is the product of these animal beings, is an issue that needs to be emphasized. The choice of plant location, which must be determined for an investment to be made for the acquisition of this product emerges as a separate problem. For this reason, in this study, the order of optimality among the alternatives for compost plant installation is considered as a multi-criteria decision making problem. For this purpose, the criteria determined for 10 clusters with the potential of 35,829 animals that can produce compost in Samsun were weighted by the SWARA method. The optimal ranking of these 10 compost clusters was carried out using the COCOSO and WASPAS methods, by means of the criteria weights taken into consideration. According to the ranking results obtained from both methods, it was determined that the cluster number 27 was in the first rank, the cluster no 13 was in the second rank, and the cluster no 14 was in the third rank.

scholarly journals Multi-criteria decision-making model for supporting manufacturing settlements location in Africa after COVID-19

2021 ◽  
Vol 13 ◽  
pp. 184797902110233
Author(s):  
Stefania Bait ◽  
Serena Marino Lauria ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Multinational Enterprises ◽  
Value Added ◽  
Plant Performance ◽  
Multi Criteria Decision Making ◽  
African Countries ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Decision Making Model

The COVID-19 emergency is affecting manufacturing industries all over the world. Notably, it has generated several issues in the products’ supply and the global value chain in African countries. Besides this, Africa’s manufacturing value-added rate grew only 1.5 since 2018, and the foreign direct investment (FDI) from multinational enterprises (MNEs) remains very low due to high-risk factors. Most of these factors are linked to a non-optimized location selection that can adversely affect plant performance. For these reasons, supporting decision-makers in selecting the suitable country location in Africa is crucial, both for contributing to countries’ growth and companies’ performance. This research aims at presenting a comprehensive multi-criteria decision-making model (MCDM) to be used by MNEs to evaluate the best countries to develop new manufacturing settlements, highlighting the criteria that COVID-19 has impacted. Thus, it has affected countries’ performance, impacting the plant location selection choices. A combination of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods have also been used for comparative analysis. The criteria used in the proposed approach have been validated with a panel of MNEs experts.

scholarly journals SOLUTION OF A MULTI-CRITERIA DECISION- MAKING PROBLEM ON BASE OF PROMETHEE METHOD

2020 ◽  
Author(s):  
Salimov Vagif Hasan Oglu
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Preference Function ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Job Selection ◽  
Decision Making Problem ◽  
Practice Problem ◽  
Promethee Method ◽  
Large Groups

Multi criteria decision making problem was considered. Review of existing multi criteria decision making methods was presented. Methods of solving this problem can be divided into two large groups: methods using the aggregation of all alternatives according to all criteria and the solution of the obtained one-criterion problem, the second group is associated with the procedure of pairwise comparisons. Promethee method have been considered with details. This method is based on the pairwise comparison of alternatives and specific aggregation procedures. The preference function are considered for minimization and maximization cases. As practice problem the job selection is considered. Three important criteria are used: salary, time, risk. The results of all computations are presented.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Modeling Knowledge Employee’s Turnover Based on P-SVM

2010 ◽  
Vol 121-122 ◽  
pp. 825-831
Author(s):  
Yong Zhao ◽  
Ye Zheng Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Model Development ◽  
Forecast Model ◽  
Support Vector ◽  
Multi Criteria Decision Making ◽  
Parameters Selection ◽  
Vector Machines ◽  
Decision Making Problem ◽  
Simulation Results

Knowledge employee’s turnover forecast is a multi-criteria decision-making problem involving various factors. In order to forecast accurately turnover of knowledge employees, the potential support vector machines(P-SVM) is introduced to develop a turnover forecast model. In the model development, a chaos algorithm and a genetic algorithm (GA) are employed to optimize P-SVM parameters selection. The simulation results show that the model based on potential support vector machine with chaos not only has much stronger generalization ability but also has the ability of feature selection.

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