scholarly journals Selection of Plant Location using Consistent FAHP and Goal Programming Technique

2020 ◽  
Vol 8 (4S5) ◽  
pp. 164-169
Keyword(s):  
Goal Programming ◽  
Manufacturing Industry ◽  
Fuzzy Ahp ◽  
Preference Relation ◽  
Time Data ◽  
Programming Technique ◽  
Fuzzy Environment ◽  
Decision Making Problem ◽  
The Cost ◽  
Hierarchy Process

Hierarchy Process (AHP) is one of the effectively used tools for solving Multi Criteria decision making problem. In AHP the decision maker’s ambiguity and uncertainty cannot be handled. To solve this, AHP is extended in Fuzzy environment. In this paper a new method of Fuzzy AHP based on multiplicative consistent fuzzy preference relation is introduced. In this method, an iterative algorithm is given to construct comparison matrices from n (n-1)/2 preferences .From these comparison matrices the weight vectors are evaluated by goal programming technique. The validity of this method is checked by applying this it to a solved problem in the literature and it is found that this method yields the same result. Location of a manufacturing plant has a significant impact on the performance of the company as it minimizes the cost and maximizes the use of resource. A manufacturing industry wants to select a location for its new plant. The method proposed in this paper is applied to select the best location out of several alternatives with the real time data.

scholarly journals Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance

2014 ◽  
Vol 32 (2) ◽  
pp. 163 ◽  
Author(s):  
Abdolhamid Safaei Ghadikolaei ◽  
Saber Khalili Esbouei
Keyword(s):  
Performance Evaluation ◽  
Financial Performance ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Analytic Hierarchy ◽  
Fuzzy Environment ◽  
Parts Manufacturing ◽  
Hierarchy Process

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE).for this purpose Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS) method. The finding of this study showed effective of this approach in evaluating financial performance.

scholarly journals PENERAPAN METODE FUZZY AHP DALAM PENENTUAN SEKTOR YANG BERPENGARUH TERHADAP PEREKONOMIAN PROVINSI BALI

2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Manufacturing Industry ◽  
Fuzzy Ahp ◽  
Weighted Average ◽  
Pairwise Comparison ◽  
Primary Group ◽  
Tertiary Sector ◽  
Analytic Hierarchy ◽  
Consistency Ratio ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.

scholarly journals Multicriteria optimization in a fuzzy environment: The fuzzy analytic hierarchy process

2010 ◽  
Vol 20 (1) ◽  
pp. 71-85 ◽  
Author(s):  
Milanka Gardasevic-Filipovic ◽  
Dragan Saletic
Keyword(s):  
Analytic Hierarchy Process ◽  
Optimization Problems ◽  
Fuzzy Ahp ◽  
User Preferences ◽  
Analytic Hierarchy ◽  
Weighted Sum Method ◽  
Fuzzy Environment ◽  
Previously Treated ◽  
Judgment Matrix ◽  
Hierarchy Process

In the paper the fuzzy extension of the Analytic Hierarchy Process (AHP) based on fuzzy numbers, and its application in solving a practical problem, are considered. The paper advocates the use of contradictory test to check the fuzzy user preferences during fuzzy AHP decision-making process. We also propose consistency check and deriving priorities from inconsistent fuzzy judgment matrices to be included in the process, in order to check if the fuzzy approach can be applied in the AHP for the problem considered. An aggregation of local priorities obtained at different levels into composite global priorities for the alternatives based on weighted-sum method is also discussed. The contradictory fuzzy judgment matrix is analyzed. Our theoretical consideration has been verified by an application of commercially available Super Decisions program (developed for solving multi-criteria optimization problems using AHP approach) on the problem previously treated in the literature. The obtained results are compared with those from the literature. The conclusions are given and the possibilities for further work in the field are pointed out.

Picture fuzzy MABAC method based on prospect theory for multiple attribute group decision making and its application to suppliers selection

2022 ◽  
pp. 1-11
Author(s):  
Zhiwei Jiang ◽  
Guiwu Wei ◽  
Yanfeng Guo
Keyword(s):  
Prospect Theory ◽  
Manufacturing Industry ◽  
Fuzzy Numbers ◽  
Purchasing Management ◽  
Fuzzy Environment ◽  
Multiple Attribute ◽  
Todim Method ◽  
Picture Fuzzy Sets ◽  
The Cost

In the garment manufacturing industry, purchasing management is an important link. The materials of making clothes often need high cost. In addition, customers put forward a request in the quality of clothes. Thus, choosing an optimal supplier is an essential part of job. Reaching cooperation with an optimal supplier not only can help garment manufacturer improve the quality of clothes but also is benefit to reduce the cost of producing. Most importantly, it can improve the competitiveness of manufacture enterprises. So, it is important for managers to find an optimal supplier and make a cooperation with it. In this paper, we analysis an issue about choosing an optimal supplier during four different suppliers. With analyzing this problem, we can introduce an extended method under picture fuzzy environment to evaluate and choose an optimal supplier. In this article, we describe some basic knowledges about picture fuzzy sets (PFSs) and picture fuzzy numbers (PFNs). Then, we introduce the extension of MABAC method which is on the basis of prospect theory (PT) with picture fuzzy numbers (PF-PT-MABAC) and utilize the PF-PT-MABAC model to evaluate different suppliers to choose an optimal supplier. Finally, we compare the result of PF-PT-MABAC with the result of traditional MABAC, PFWG operators and traditional TODIM method to test the efficiency of PF-PT-MABAC model.

A Enterprises Supplier Evaluating System Using Fuzzy-AHP

2013 ◽  
Vol 475-476 ◽  
pp. 1050-1054 ◽  
Author(s):  
Lan Cai ◽  
Shun Sheng Guo ◽  
Lu Ming Zhou
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Evaluation Process ◽  
Systematic Design ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Decision Making Problem ◽  
Using Data ◽  
Hierarchy Process

Supplier selection is a multi-criteria decision making problem which includes evaluation factors. In order to select the best suppliers, it is crucial to considering the both qualitative and quantitative factors simultaneously. The analytic hierarchy Process is a kind of Decision-making method with the combination of quantity and quality. Combining with fuzzy algorithm, this paper established a supplier evaluating system based on ERP database, discussing many issues in the systematic design and developing the implement step. The system make the evaluation process transparent by using data mining and fuzzy-AHP algorithm, and avoid the disturbing from excessively subjective factors. Thus it can guarantee the fairness of the assessment. Finally, the example and conclusion are given.

scholarly journals USING AN INTEGRATED MODEL FOR SHAFT SINKING METHOD SELECTION / KOMPLEKSINIO MODELIO NAUDOJIMAS GRĘŽINIŲ ĮRENGIMO METODUI PARINKTI

2011 ◽  
Vol 17 (4) ◽  
pp. 569-580 ◽  
Author(s):  
Ali Lashgari ◽  
Mohamad Majid Fouladgar ◽  
Abdolreza Yazdani-Chamzini ◽  
Miroslaw J. Skibniewski
Keyword(s):  
Project Performance ◽  
Fuzzy Environment ◽  
Real World Application ◽  
Method Selection ◽  
Decision Making Problem ◽  
Solution Methods ◽  
Shaft Sinking ◽  
Topsis Technique ◽  
Hierarchy Process ◽  
Underground Constructions

Shafts have critical importance in deep mines and underground constructions. There are several traditional and mechanized methods for shaft sinking operations. Using mechanized excavation technique is an applicable alternative to improve project performance, although impose a huge capital cost. There are a number of key parameters for this selection which often are in conflict with each other and decision maker should seek a balance between these parameters. Therefore, shaft sinking method selection is a multi criteria decision making problem. This paper intends to use the combination of analytical hierarchy process and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods under fuzzy environment in order to select a proper shaft sinking method. A real world application is conducted to illustrate the utilization of the model for the shaft sinking problem in Parvadeh Coal Mine. The results show that using raise boring machine is selected as the most appropriate shaft sinking method for this mine. Santrauka Gręžiniai yra labai svarbūs giliose šachtose ir požeminėse konstrukcijose. Gręžiniai įrengiami keliais tradiciniais ir mechanizuotais metodais. Mechanizuotos žemės kasimo technologijos yra galima alternatyva, gerinanti projekto įgyvendinimą, tačiau tam reikia didžiulių kapitalo išlaidų. Pasirinkimui įtaką daro daug tarpusavyje nederančių rodiklių, tad sprendimą priimantis asmuo turi rasti balansą tarp jų. Todėl grųžiniu įrengimo metodo parinkimas yra daugiakriterinių sprendimų priėmimo problemą. Šiame straipsnyje naudojama analitinio hierarchinio proceso ir TOPSIS (artumo idealiajam taškui) metodo neraiškioje aplinkoje kombinacija tinkamam gręžinių įrengimo metodui parinkti. Modelio naudojimo atvejis iliustruojamas realiu pavyzdžiu, sprendžiant gręžinių irengimo problemą Parvadeh anglių kasykloje. Rezultatai rodo, kad keliamasis gręžimo įrenginys parenkamas kaip tinkamiausias gręžiniams įrengti šioje kasykloje.

FUZZY AHP APPROACH TO THE COMPETENCE OF ENGINEERING MANPOWER OUTSOURCING

2012 ◽  
Vol 20 (04) ◽  
pp. 437-458 ◽  
Author(s):  
WEN-HSIANG LAI
Keyword(s):  
Fuzzy Ahp ◽  
Business Management ◽  
Capital Intensity ◽  
Analytic Hierarchy ◽  
Inference System ◽  
The Past ◽  
The Cost ◽  
Outsourcing Strategies ◽  
Logic Inference ◽  
Hierarchy Process

Outsourcing strategies reveal trends in strategic business administration. Over the past 80 years, outsourcing has become one of the most important concepts in business management and operation. In Taiwan, optoelectronics, semiconductors, and information technology (IT) are the major industries engaging in engineering manpower outsourcing (EMO) due to their capital intensity and their requirements for a large quantity of high-quality engineers. This study analyzes the EMO competence of Taiwan's enterprises using expert interviews, analytic hierarchy process (AHP) analysis, and a fuzzy logic inference system (FLIS). This study shows that EMO competence can be divided into three influential variables: cost, resources, and strategy. The results of this research indicate that the cost variable has the greatest influence on EMO. The results of fuzzy analysis demonstrate that if enterprises intend to improve their EMO, they must consider the combination of the direct cost and talents sub-variables within the resource variable to be more important than the various sub-variable combinations of cost and strategy. Moreover, empirical results also show that the internal operation (IO) sub-variable has a significant impact on the strategy variable and that the internal training (IT) and external alliance (EA) sub-variables have little influence on the strategy variable with respect to EMO.

A novel hybrid two-step group multi-attribute assessment model of stairs shape for two-story individual dwelling houses

2015 ◽  
Author(s):  
Zenonas Turskis ◽  
Birutė Juodagalvienė
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Hybrid Model ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Multi Attribute Decision Making ◽  
Measurement Units ◽  
The Cost ◽  
Hierarchy Process

The article deals with a novel hybrid two-step group multi-attribute assessment model of stairs shape for two-story individual dwelling houses. There exist many available shapes of stairs for two-story dwelling houses. Selection among shapes and construction of stairs is a multi-attribute decision making problem in nature. It depends on a lot of different conflicting attributes, that have different optimisation direction, different measurement units. A determinated set of the main attributes to assess the alternatives includes the following: Stairwell Area, The Total Area of Climbing, “Climbing Lane" Area, The Cost of Stairs, and Ergonomics. The values of attributes and importance of attributes are determined by grey numbers. The paper presents a novel original hybrid model, which is based on two different multi-attribute decision making methods: ARAS-G (Additive Ratio Assessment) and AHP (Analytic Hierarchy Process).

scholarly journals Modelling the Accommodation Preferences of Tourists by Combining Fuzzy-AHP and GIS Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ali Mahdi ◽  
Domokos Esztergár-Kiss
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Security Level ◽  
Analytic Hierarchy ◽  
Gis Methods ◽  
The Cost ◽  
Hierarchy Process ◽  
Combined Technique

Finding the place of accommodation is one of the most crucial issues during a journey. This study aims to support the decision-making of tourists for choosing the optimal accommodation by combining fuzzy analytic hierarchy process (FAHP) and geographic information system (GIS) techniques. The adopted criteria are the cost per room, the distance from the center, the level of security, the place rating, and the availability of free cancellation and breakfast. Due to some uncertainty and diversity of criteria, the FAHP approach is applied to consolidate tourists’ decisions by applying criteria weighting, while the GIS is used to overlay the weighted criteria and to visualize the ranked places of accommodation on a map. The combined technique is applied on a case study in Budapest City, where the analysis is conducted on 364 places of accommodation. The results show that half of the places are recommended for tourists, and more than fifth of the accommodations are highly recommended. Furthermore, it can be concluded that the cost per room was the highest influential criterion with 0.233 importance weight, followed by the security level with 0.205. The lowest factor affecting the choice of accommodation was the free cancellation service. It was demonstrated that the rating weight importance was 0.182, while the breakfast and the distance from the center had approximately the same importance. As a recommendation, some improvements on the accommodation, such as decreasing the cost per room, enhancing the services, or developing the quality of the places, would increase their attractiveness for tourists.

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