Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed

Asset purchasing is one of the main responsibilities of Information Technology (IT) department which involves selecting the best supplier. The IT department needs to consider many criteria such that the chosen supplier offers the best product and services at acceptable price, without compromising on...

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Main Authors: Shohaimay, Fairuz, Ramli, Nazirah, Mohamed, Siti Rosiah
Format: Research Reports
Language:English
Published: Research Management Institute (RMI) 2012
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Online Access:http://ir.uitm.edu.my/id/eprint/23728/1/LP_FAIRUZ%20SHOHAIMAY%20RMI%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/23728/
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spelling my.uitm.ir.237282019-04-05T03:12:53Z http://ir.uitm.edu.my/id/eprint/23728/ Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed Shohaimay, Fairuz Ramli, Nazirah Mohamed, Siti Rosiah Management. Industrial Management Industrial productivity Asset purchasing is one of the main responsibilities of Information Technology (IT) department which involves selecting the best supplier. The IT department needs to consider many criteria such that the chosen supplier offers the best product and services at acceptable price, without compromising on the quality and standards of goods. Thus, supplier selection is a multi-criteria decision making (MCDM) problem. In real practice, supplier selection is a complex decision making task. The evaluation process of suppliers relies heavily on previous experiences and human judgments which are vague and uncertain. It is relatively difficult for decision makers to provide exact numerical values for the criteria. Hence, fuzzy set theory was introduced to deal with uncertainties and imprecision in linguistic terms values in decision making processes. Although linguistic terms are used in many fuzzy MCDM models, most of the corresponding fuzzy numbers were fixed and taken from the previous literatures. These fuzzy numbers may not necessarily reflect actual respondents' opinions. Therefore, a two-phased fuzzy evaluation technique is proposed in evaluating and selecting suppliers. Firstly, triangular fuzzy numbers were built based on respondents' opinions. Fuzzy evaluation method is used to evaluate the suppliers based on three main criteria and nine sub-criteria. Finally, the suppliers were ranked using distance minimization method… Research Management Institute (RMI) 2012 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/23728/1/LP_FAIRUZ%20SHOHAIMAY%20RMI%2012_5.pdf Shohaimay, Fairuz and Ramli, Nazirah and Mohamed, Siti Rosiah (2012) Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed. [Research Reports] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Management. Industrial Management
Industrial productivity
spellingShingle Management. Industrial Management
Industrial productivity
Shohaimay, Fairuz
Ramli, Nazirah
Mohamed, Siti Rosiah
Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
description Asset purchasing is one of the main responsibilities of Information Technology (IT) department which involves selecting the best supplier. The IT department needs to consider many criteria such that the chosen supplier offers the best product and services at acceptable price, without compromising on the quality and standards of goods. Thus, supplier selection is a multi-criteria decision making (MCDM) problem. In real practice, supplier selection is a complex decision making task. The evaluation process of suppliers relies heavily on previous experiences and human judgments which are vague and uncertain. It is relatively difficult for decision makers to provide exact numerical values for the criteria. Hence, fuzzy set theory was introduced to deal with uncertainties and imprecision in linguistic terms values in decision making processes. Although linguistic terms are used in many fuzzy MCDM models, most of the corresponding fuzzy numbers were fixed and taken from the previous literatures. These fuzzy numbers may not necessarily reflect actual respondents' opinions. Therefore, a two-phased fuzzy evaluation technique is proposed in evaluating and selecting suppliers. Firstly, triangular fuzzy numbers were built based on respondents' opinions. Fuzzy evaluation method is used to evaluate the suppliers based on three main criteria and nine sub-criteria. Finally, the suppliers were ranked using distance minimization method…
format Research Reports
author Shohaimay, Fairuz
Ramli, Nazirah
Mohamed, Siti Rosiah
author_facet Shohaimay, Fairuz
Ramli, Nazirah
Mohamed, Siti Rosiah
author_sort Shohaimay, Fairuz
title Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
title_short Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
title_full Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
title_fullStr Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
title_full_unstemmed Supplier selection in government organizations based on fuzzy evaluation approach / Fairuz Shohaimay, Nazirah Ramli and Siti Rosiah Mohamed
title_sort supplier selection in government organizations based on fuzzy evaluation approach / fairuz shohaimay, nazirah ramli and siti rosiah mohamed
publisher Research Management Institute (RMI)
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/23728/1/LP_FAIRUZ%20SHOHAIMAY%20RMI%2012_5.pdf
http://ir.uitm.edu.my/id/eprint/23728/
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score 13.160551