COMPARATIVE ANALYSIS OF FUZZY MULTI-CRITERIA DECISION MAKING FOR LOCATION SELECTION OF TEXTILE PLANT IN TURKEY

2016 ◽  
Author(s):  
Nihan Çetin Demirel ◽  
Muhammet Deveci ◽  
Gizem Eser
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Selection Of

scholarly journals An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chien-Chang Chou
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Container Logistics ◽  
Proposed Model ◽  
Fuzzy Mcdm ◽  
Selection Of

The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

Multi-Criteria Decision Making in Manufacturing Systems

2019 ◽  
pp. 80-107
Author(s):  
Hande Erdoğan Aktan ◽  
Ömür Tosun
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Decision Makers ◽  
Smart Factory ◽  
Multi Criteria Decision Making ◽  
Structural Modelling ◽  
Location Selection ◽  
The Relationship ◽  
Selection Of

In this study, an Industry 4.0-oriented electronical goods producer company's smart facility location selection problem is analyzed. The proposed problem is evaluated under environmental, economic, social, and technological criteria. The relationship between criteria are analyzed with interpretive structural modelling (ISM) and Matrice d'Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) methods. ISM method is used to assess the mutual relation of the criteria and their dependencies, whereas the MICMAC method is used to identify the importance of criteria based on their driving and dependence power. It is expected the methods used in this study which are related to evaluation of the criteria affecting the selection of the plant for a smart factory and the results of it will be useful for decision-makers and practitioners to categorize and differentiate the criteria. This study will be one of the first spearheading research to evaluate the criteria for establishing a smart factory.

scholarly journals Una comparación entre el método MOORA y CODAS bajo ambiente de Conjunto Pitagoreano Difuso

2019 ◽  
pp. 9-19
Author(s):  
Abbi Azalia Flores-Ruvalcaba ◽  
Luis Pérez-Domínguez ◽  
Luz Angélica García-Villalba ◽  
Sara Almeraz-Durán
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Illustrative Case ◽  
Multi Criteria Decision Making ◽  
Qualitative Information ◽  
Pythagorean Fuzzy Set ◽  
Decision Making Capacity ◽  
Decision Making Problem ◽  
Selection Of

Multi-criteria decision-making methods (MCDM) have accelerated in recent years. Many authors have made remarkable manipulation of the uncertainty involved in MCDM problems as a constant to make the most appropriate decision among the alternatives proposed. For this reason, fuzzy logic has been integrated into the MCDM, achieving new hybrid methodologies. These have managed to increase decision-making capacity, allowing us to manipulate nonfuzzy (quantitative) and fuzzy (qualitative) information. The main of this paper presents the comparative analysis of the Pythagorean Fuzzy CODAS method in order to examine the advantages and differences in comparison to MOORA Pythagorean Fuzzy Set method. The analysis, in this sense, aims to present a new scenario for the selection of the best decision-making problem, taking its advantages and thus achieve a greater benefit in real problems applications. An illustrative case will be presented with the MOORA-PFS methodology, to see the results obtained with Pythagorean Fuzzy CODAS. Besides, this comparative study to academics to choose more operative methods for solve MCDM problems.

scholarly journals ANALYSIS OF SELECTION OF ARSENAL WAREHOUSE LOCATIONS TO SUPPORT KRI OPERATIONS IN THE KOARMADA II AREA ANALYSIS OF ARSENAL STORAGE LOCATION SELECTION TO SUPPORT THE OPERATIONS OF INDONESIAN NAVY WARSHIP (KRI) IN THE 2ND NAVAL FLEET TERRITORY

JOURNAL ASRO ◽  
2021 ◽  
Vol 12 (01) ◽  
pp. 40
Author(s):  
Muhammad Arif ◽  
Budisantoso Wirjodirdjo ◽  
I Made Jiwa Astika ◽  
Ayip Rivai
Keyword(s):  
Decision Making ◽  
Global Dynamics ◽  
Multi Criteria Decision Making ◽  
National Defense ◽  
Location Selection ◽  
Storage Location ◽  
Alternative Location ◽  
The Republic ◽  
Selection Of

Uncertain global dynamics is one of the main factors influencing the successful achievement of goals and interests in the field of national defense. This reflects how important it is for stakeholders in the defense sector, to understand the dynamics of the strategic environment which presents a series of opportunities, obstacles to threats to the existence of the Republic of Indonesia, which in the end will obtain strategic steps to overcome them. The Indonesian Navy is strongly influenced by several components, such as the strength structure, the level of readiness, the level of sophistication or technological sophistication and the operational durability of its Alutsista. The synergy of the four components of strength is very much determined by the country's ability to build and maintain the ability of the defense equipment. Currently, Arsenal does not have a regional warehouse and there is only one central warehouse in Surabaya. The wide working area of ​​Koarmada II, of course, requires a large number of KRI elements. Arsenal really need regional warehouses in order to be able to increase KRI's operational support in the Koarmada II working area. This is necessary considering that the operation at sea requires a very high presence of KRI. So that if there is a need for ammunition supplies, the process of supplying them can be carried out quickly. This research uses the Fuzzy Multi Criteria Decision Making (FMCDM) method. Overall, the results obtained from this study, it can be concluded that the best location from the alternative location is in the Koarmada II area, namely Lantamal Manado with the highest value of 0.   Keywords: Determination of Location, Fuzzy Multi Criteria Decision Making (FMCDM).

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