UPM Institutional Repository

Supplier evaluation and selection using revised Tagichi loss function.


Citation

Sadigh, Aghdas Naimi and Zulkifli, Norzima and Hong, Tang Sai and Abdolshah, Mohammad (2009) Supplier evaluation and selection using revised Tagichi loss function. Journal of Applied Sciences, 9 (24). pp. 4240-4246. ISSN 1812-5654; ESSN: 1812-5662

Abstract

Assessing quality as one of the main criteria for supplier selection is so important. Literature review showed that in order to evaluate the quality of suppliers, some methods such as rate of rejects, quality certification, easy to repair, reliability and process capability indices are so common. These methods can assess just one aspect of an organization and are not appropriate tools for assessing the real quality of the product supplied by the supplier, while loss functions are suitable tools to evaluate the quality. To overcome this problem and because of features of revised Taguchi loss function, this study proposes the use of the revised Taguchi loss function for supplier evaluation and selection. After assessing the quality, using the expected value of the revised Taguchi loss function and integrating of this function with the cost of purchasing and transportation, a simple Linear Programming (LP) model will appear. A numerical example provides the explanation. This model is a very simple linear programming model with excellent estimation of quality, which integrates the quality of supplier, cost of purchasing and transportation costs.


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3923/jas.2009.4240.4246
Publisher: Asian Network for Scientific Information
Keywords: Loss functions; Price; Quality; Revised Taguchi loss functions; Supplier evalualion and selection.
Depositing User: Fatimah Zahrah @ Aishah Amran
Date Deposited: 21 Jan 2014 09:15
Last Modified: 21 Jan 2014 09:15
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3923/jas.2009.4240.4246
URI: http://psasir.upm.edu.my/id/eprint/17743
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item