Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

2012 ◽  
Vol 5 (2) ◽  
pp. 59-81 ◽  
Author(s):  
M. Ilangkumaran ◽  
S. Kumanan
Keyword(s):  
Textile Industry ◽  
Maintenance Strategy ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Insight Into ◽  
Selection Of

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

scholarly journals A MULTI-ATTRIBUTE DECISION SUPPORT MODEL FOR THE SELECTION OF TOURISTIC ACTIVITIES

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Sait Gul ◽  
Ilker Topcu
Keyword(s):  
National Income ◽  
Decision Support Model ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
National Economies ◽  
Hierarchy Process ◽  
Selection Of

<p>People who wish to travel or participate in a touristic activity often do not have certain information about available travel destinations, group tours, and touristic events. Furthermore, they have their own personal expectations and preferences, especially regarding time and budget limitations. Therefore, they do not want to spend their limited time collecting information about travelling instead of actually travelling. Besides, the individualistic dimensions of tourism planning and marketing studies have a significant importance on national economies all over the world, particularly for nations whose tourism income is becoming a bigger share of their total national income. This study aims to develop a touristic suggestion model for tourist candidates with regards to their personal expectations and preferences about tourism. The Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution TOPSIS multi-attribute decision-making methods are used in this study to analyze the problem. The proposed model was built in three main phases: structuring, modeling and analyzing. The AHP method was used for prioritizing the related criteria obtained from the tourist candidates, and then TOPSIS was used for assessing global preference of alternatives. Finally, a recommendation to the decision maker is made with the most appropriate alternative.</p>

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.

scholarly journals Fuzzy AHP Method for Selection of a Suitable Seismic Retrofitting Alternative in Low-Rise Buildings

2018 ◽  
Vol 4 (5) ◽  
pp. 1074 ◽  
Author(s):  
Reza Pashaei ◽  
Abdolreza S. Moghadam
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Fuzzy Ahp ◽  
Seismic Retrofitting ◽  
Triangular Fuzzy Numbers ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Selection Of

Decision making for selecting an appropriate alternative among nominated alternatives is still a problem among retrofit designers. It is clear that selected alternative should comply the current codes in terms of structural criteria, but the other criteria may not be considered. The main goal of this study is to introduce a suitable method for making a decision in order to find the best alternative considering the effective criteria in retrofitting of low-rise buildings. Analytic Hierarchy Process (AHP), as a technique of Multi-Criteria Decision Making (MCDM), is compatible to solve the problem. Effective criteria have been categorized to structural, operational, economic and functional criteria and sixteen sub-criteria considered as a pattern that satisfies the entire involved group including structural and architectural engineers, contractor, client, and authorities in retrofitting of low-rise buildings. Since most of the involved criteria such as aesthetic, durability, and compatibility have fuzzy nature and cannot be compared numerically, fuzzy AHP can be a compatible method for comparison different retrofitting alternatives among both fuzzy and non-fuzzy criteria. A matrix of pair-wise comparison (MPC) is used for determining the weight of criteria and also for scoring the alternatives respect to each criterion. A Fuzzy Importance scale with Triangular Fuzzy Numbers (TFN) is applied for comparing the criteria. The method is examined by a case study and the results show the used method can help designers for selecting the appropriate alternative.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

An Endorsement Selection Model for Sports Celebrities in China

2018 ◽  
Vol 10 (2) ◽  
pp. 1-13
Author(s):  
Pi-Fang Hsu ◽  
Chia-Hui Hsu
Keyword(s):  
Analytic Hierarchy Process ◽  
Delphi Method ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Proposed Model ◽  
Target Company ◽  
Sporting Goods ◽  
Hierarchy Process ◽  
Celebrity Endorsers ◽  
Selection Of

Celebrity endorsement is a critical and positive commercial promotional tool. With the increasing number of international sports celebrities, many sporting and non-sporting goods companies use such celebrities to promote their products. This study develops a model for selecting sports celebrity endorsers. A Chinese sporting brand company is the target of this study. The proposed model adopts the modified Delphi method to identify suitable criteria and applies the analytic hierarchy process (AHP) to determine the criteria's relative weights. The selected company exemplifies how the model can guide the selection of sports celebrity endorsers. The model ranks the importance to the target company of five criteria: trustworthiness, match-up, attractiveness, risk and expertise. The proposed model allows the company to select sports celebrity endorsers effectively, and contributes to academia and commerce.

An Endorsement Selection Model for Sports Celebrities in China

2021 ◽  
pp. 142-156
Author(s):  
Pi-Fang Hsu ◽  
Chia-Hui Hsu
Keyword(s):  
Selection Model ◽  
Celebrity Endorsement ◽  
Analytic Hierarchy ◽  
Modified Delphi ◽  
Proposed Model ◽  
Target Company ◽  
Sporting Goods ◽  
Hierarchy Process ◽  
Celebrity Endorsers ◽  
Selection Of

Celebrity endorsement is a critical and positive commercial promotional tool. With the increasing number of international sports celebrities, many sporting and non-sporting goods companies use such celebrities to promote their products. This study develops a model for selecting sports celebrity endorsers. A Chinese sporting brand company is the target of this study. The proposed model adopts the modified Delphi method to identify suitable criteria and applies the analytic hierarchy process (AHP) to determine the criteria's relative weights. The selected company exemplifies how the model can guide the selection of sports celebrity endorsers. The model ranks the importance to the target company of five criteria: trustworthiness, match-up, attractiveness, risk and expertise. The proposed model allows the company to select sports celebrity endorsers effectively, and contributes to academia and commerce.

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