An Application of ANP in the Selection of Supplier in Fishing Tackle Manufacturing Company

2013 ◽  
pp. 655-664
Author(s):  
Po-Ya Tang ◽  
Jen-Der Day
Keyword(s):  
Manufacturing Company ◽  
Selection Of

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.

scholarly journals Supplier selection using Fuzzy AHP and Fuzzy Vikor for XYZ Pharmaceutical Manufacturing Company

2020 ◽  
Vol 7 (1) ◽  
pp. 14-21
Author(s):  
Ruzanita Mat Rani ◽  
Ahmad Fakhry Nadar
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Regulatory Compliance ◽  
Multiple Criteria ◽  
Pharmaceutical Manufacturing ◽  
Fuzzy Vikor ◽  
Comparison Results ◽  
Manufacturing Company ◽  
Selection Of

Supplier selection is not an easy process as it typically involves multiple criteria and it requires human judgment. Therefore, there is a need to have a better system for supplier selection due to uncertainty and vagueness that exist in dealing with the multiple criteria decision making (MCDM) problem. This study is aimed to identify the important criteria for the selection of the best pharmaceutical raw materials supplier for XYZ Pharmaceutical Manufacturing company by using Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy VIKOR approaches. Furthermore, this paper also presents the comparison results between the two methods in determining the best supplier. Fuzzy theory was used since it provides a right tool to encounter the uncertainties and complexity of decision making environment. This study investigated eight alternative suppliers based on seven criteria evaluated by two decision makers from the company. This study has successfully identified the top three most important criteria for the selection of supplier, namely, Regulatory Compliance, Price, and Product Variety. This study highlighted that Regulatory Compliance is a new important criterion for the pharmaceutical company to consider in future supplier selection. Based on the alternative results of Fuzzy AHP, it was found that the top three most important supplier were A5, A3 and A1. While based on the alternative results of Fuzzy VIKOR, it showed that the top three most important supplier were A5, A3 and A7. The comparison results between the two methods have shown that the Fuzzy VIKOR method is more suited to the problem of supplier selection.

scholarly journals Karakteristik Dewan Komisaris dan Dampaknya terhadap Kinerja Keuangan

2019 ◽  
Author(s):  
Yayan Rama Kartin ◽  
Aminar Sutra Dewi
Keyword(s):  
Financial Performance ◽  
Sampling Method ◽  
Financial Statements ◽  
Educational Background ◽  
Board Composition ◽  
Board Size ◽  
Financial Reports ◽  
Manufacturing Company ◽  
Fraudulent Financial Statements ◽  
Selection Of

The composition of the board of commissioners can make an effective contribusion to the results of the process of preparing financial reports that are quality or possibly avoid fraudulent financial statements. This study aims to empirically examine the effect of independent board composition on performance, board size on financial performance, board background commissioner on financial performance. The object of research chosen is a manufacturing company listen on the indonesia stick exchange in the period of 2013-2017. The selection of samples is done using the porpusive sampling method. The analytikal method used in this study is panel dat regression. The results showed that the composition of the board independent commissioners had a positive and significant effect on the company’s financial performance, the size of the board commissioners had a positive and significant effect on the company’s financial performance and the educational background of the board of commissioners had a significant but not significant effect on the company’s financial performance

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