Supplier performance assessment tool in automotive industry using multivariate analysis

The supplier evaluation process is complicated because a variety of criteria must be simultaneously considered. In some approaches to supplier evaluation, only quantitative factors are allowed in the model, or qualitative factors can be used in the model but the data are replaced by the assigned num...

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Main Author: Amil, Mohd Azril
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/12732/1/MohdAzrilAmilMFKM2009.pdf
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spelling my-utm-ep.127322018-06-25T08:59:35Z Supplier performance assessment tool in automotive industry using multivariate analysis 2009 Amil, Mohd Azril TL Motor vehicles. Aeronautics. Astronautics The supplier evaluation process is complicated because a variety of criteria must be simultaneously considered. In some approaches to supplier evaluation, only quantitative factors are allowed in the model, or qualitative factors can be used in the model but the data are replaced by the assigned numbers. In practice, different goals, multiple criteria, constraints and parameters that involve conflicting quantitative and qualitative criteria make the decision making complicated. This thesis presents a development of a supplier performance assessment tool to evaluate automotive suppliers based on multivariate analysis. A questionnaire was prepared and sent to 278 companies from automotive sector in Malaysia. 5 forms were provided for each of the company to perform total of 1390 recipients, thus giving 24.3 percent response rate. Attempts were made to find the extent of practices in 5 different factors; quality system, in-process quality, logistics and management, shipping and delivery, and after sales services. The results were analyzed using the SPSS software. Factor Analysis, one of the tools for multivariate analysis was used to design the assessment tool for Supplier Performance Assessment and Evaluation. It can also be used for Supplier Control. The procedure utilizes a proposed assessment tool; constructed from factor analysis to do the evaluation. Since the supplier evaluation is a decision problem combining multiple criteria or attributes into a single measure of supplier performance, the objective is to find a method that can be used to objectively evaluate the best supplier. It was also found that it is advantageous to use the proposed instrument as it requires minimal manual interferences. If the proposed instrument is executed and controlled regularly, the performance level of automotive suppliers may be improved continuously. As a conclusion, this study may be able to assist automotive suppliers to maintain and improve their performance. This will support our Malaysian automotive industry as a whole. 2009 Thesis http://eprints.utm.my/id/eprint/12732/ http://eprints.utm.my/id/eprint/12732/1/MohdAzrilAmilMFKM2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TL Motor vehicles
Aeronautics
Astronautics
spellingShingle TL Motor vehicles
Aeronautics
Astronautics
Amil, Mohd Azril
Supplier performance assessment tool in automotive industry using multivariate analysis
description The supplier evaluation process is complicated because a variety of criteria must be simultaneously considered. In some approaches to supplier evaluation, only quantitative factors are allowed in the model, or qualitative factors can be used in the model but the data are replaced by the assigned numbers. In practice, different goals, multiple criteria, constraints and parameters that involve conflicting quantitative and qualitative criteria make the decision making complicated. This thesis presents a development of a supplier performance assessment tool to evaluate automotive suppliers based on multivariate analysis. A questionnaire was prepared and sent to 278 companies from automotive sector in Malaysia. 5 forms were provided for each of the company to perform total of 1390 recipients, thus giving 24.3 percent response rate. Attempts were made to find the extent of practices in 5 different factors; quality system, in-process quality, logistics and management, shipping and delivery, and after sales services. The results were analyzed using the SPSS software. Factor Analysis, one of the tools for multivariate analysis was used to design the assessment tool for Supplier Performance Assessment and Evaluation. It can also be used for Supplier Control. The procedure utilizes a proposed assessment tool; constructed from factor analysis to do the evaluation. Since the supplier evaluation is a decision problem combining multiple criteria or attributes into a single measure of supplier performance, the objective is to find a method that can be used to objectively evaluate the best supplier. It was also found that it is advantageous to use the proposed instrument as it requires minimal manual interferences. If the proposed instrument is executed and controlled regularly, the performance level of automotive suppliers may be improved continuously. As a conclusion, this study may be able to assist automotive suppliers to maintain and improve their performance. This will support our Malaysian automotive industry as a whole.
format Thesis
qualification_level Master's degree
author Amil, Mohd Azril
author_facet Amil, Mohd Azril
author_sort Amil, Mohd Azril
title Supplier performance assessment tool in automotive industry using multivariate analysis
title_short Supplier performance assessment tool in automotive industry using multivariate analysis
title_full Supplier performance assessment tool in automotive industry using multivariate analysis
title_fullStr Supplier performance assessment tool in automotive industry using multivariate analysis
title_full_unstemmed Supplier performance assessment tool in automotive industry using multivariate analysis
title_sort supplier performance assessment tool in automotive industry using multivariate analysis
granting_institution Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department Faculty of Mechanical Engineering
publishDate 2009
url http://eprints.utm.my/id/eprint/12732/1/MohdAzrilAmilMFKM2009.pdf
_version_ 1747814952953970688