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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Applying AHP in Evaluation the Distribution Science of Suppliers for Retails in Vietnam: Case of Saigon Co-op Mart

Applying AHP in Evaluation the Distribution Science of Suppliers for Retails in Vietnam: Case of Saigon Co-op Mart

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2021, v.19 no.3, pp.35-47
https://doi.org/https://doi.org/10.15722/jds.19.3.202103.35
NGUYEN, Nhu-Ty (School of Business, International University)

Abstract

Purpose: Retailing is a very special sector because it demonstrates the effectiveness of combined products and services to create business values. In this study, the author wants to investigate particular areas in the distribution sciences of the purchasing process in Coopmart (Saigon Coop-Vietnam), which is about sauces and seasoning. Research design, data and methodology: The data were collected by experts of Saigon coop, which first went through the Delphi method to choose criteria and sub-criteria for the Analytic Hierarchical Process (AHP). Results: After a long process of calculation based on AHP, the final supplier is chosen according to experts' interview; Masan is the most potential candidate to be the main supplier of sauces and seasoning to Coop mart. Therefore, it is necessary to apply the typical methods such as quantitative analysis of this process - AHP. With the aim of increasing the computational content of the evaluation process suppliers, especially the comparison of suppliers in the same industry as AHP has shown. This enables analyses of all the providers to be more scientific. Conclusions: Thus, this paper would help the facility managers ensure objectives to the reasonable decision, which can be based on AHP to get more information, implement plans and get strategic collaboration with suppliers.

keywords
AHP, Suppliers, Distribution Science, Decision Making, Sauces and Seasoning

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The Journal of Distribution Science(JDS)