scholarly journals Selection of maintenance strategy for a manufacturing company with fuzzy moora method

2019 ◽  
Author(s):  
Nilsen KUNDAKCI
Keyword(s):  
Maintenance Strategy ◽  
Manufacturing Company ◽  
Moora Method ◽  
Fuzzy Moora ◽  
Selection Of

Energy Center Selection in G7 Industry With Fuzzy MOORA

2021 ◽  
pp. 87-106
Author(s):  
Serhat Yüksel ◽  
Alexey Mikhaylov ◽  
Lyubov Khomyakova
Keyword(s):  
The Other ◽  
G7 Countries ◽  
Market Risks ◽  
Investment Demand ◽  
Other Hand ◽  
Energy Center ◽  
Energy Companies ◽  
Moora Method ◽  
Fuzzy Moora ◽  
Selection Of

In this study, energy center selection of G7 countries is examined. In this context, firstly, the studies in the literature have been evaluated in detail, and seven different criteria have been determined which may affect this selection. Taking these seven different criteria into consideration, G7 countries are ranked by fuzzy MOORA method according to energy center selection performance. According to the results, Japan and Germany are the most successful countries. On the other hand, it was concluded that France and Italy ranked last in terms of energy center selection performance. Hence, especially the countries in the last rankings should be more careful in selecting energy center. In this framework, the customer potential, the training profiles of the customers, the potential of the company with investment demand, the previous payment performance of these companies, and the market risks should be considered by the energy companies while opening new branches.

An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system

2018 ◽  
Vol 25 (1) ◽  
pp. 280-296 ◽  
Author(s):  
Ram Prakash ◽  
Sandeep Singhal ◽  
Ashish Agarwal
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Sustainable Growth ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Manufacturing Company ◽  
Selection Of

Purpose The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers. Design/methodology/approach In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix. Findings Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system. Research limitations/implications The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system. Practical implications The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered. Originality/value The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

scholarly journals Using the AHP Method to Select an ERP System for an SME Manufacturing Company

2014 ◽  
Vol 5 (3) ◽  
pp. 14-22 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebiina
Keyword(s):  
Enterprise Resource Planning ◽  
Success Factors ◽  
Resource Planning ◽  
Planning System ◽  
Ahp Method ◽  
Erp System ◽  
Make To Order ◽  
Manufacturing Company ◽  
Engineer To Order ◽  
Selection Of

Abstract This paper proposes the application of the Analytic Hierarchy Process method to support decision making regarding the selection of an Enterprise Resource Planning system in a manufacturing company. The main assumption of the work is that the management of the selection of an ERP system should consider that the most important selection criteria are concerned with the functionality of the ERP system. Besides this, the aspects of total cost of ownership, technical support and implementation time or vendor experience are taken into consideration to guarantee a successful ERP implementation. The proposed procedure of an ERP system selection is dedicated for small and medium manufacturing enterprises. A structure of attributes for the AHP method is proposed on the basis of an analysis and identification of critical success factors. Different kinds of production (make-to-stock, make-to-order and engineer-to-order are taken into consideration). Illustrative examples are also given.

The selection of optimum maintenance strategy based on ANP integrated with GRA-TOPSIS

2015 ◽  
Vol 8 (2) ◽  
pp. 190 ◽  
Author(s):  
B. Kirubakaran ◽  
M. Ilangkumaran
Keyword(s):  
Maintenance Strategy ◽  
Selection Of
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