Designing Supplier Performance Evaluation Criteria for Automotive Parts Using Factor Analysis Approaches: A Case Study
Main Article Content
Abstract
The objective of this paper is to design performance criteria of automotive parts suppliers of the selected case study; an automotive manufacturer in Thailand. The proposed performance criteria were based on the perspective level of the company case such as Balanced Scorecards, Safety Activities, and Total Quality Management complying with all the required criteria of Thailand Quality Award. The empirical study was undertaken by the survey via questionnaire and interviewing techniques from the sampling stakeholders. The factor analysis was applied to analyze correlation and to combine among the significant criteria. The result showed that the proposed criteria were fulfilled the requirements at the perspective level and enhancing customer satisfaction.
Article Details
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
References
M. Tracey, C. L. Tan. (2001). “Empirical analysis of supplier selection and involvement, customer satisfaction, and firm performance,” Supply Chain Management: An International Journal, Vol. 6 Issue. 4 pp. 174-188.
Y.-J. Chen. (2011). “Structured methodology for supplier selection and evaluation in a supply chain,” Information Sciences, Vol.181, pp. 1654-1670.
A.Otto, H. Kotzab. (2003). “Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain,” European Journal of Operational Research, Vol. 144, pp. 306-320.
J. R. Carter, A. Maltz, E. Maltz, M. Goh, and T. Yan. (2010). “Impact of culture on supplier selection decision making”. The International Journal of Logistics Management, Vol. 21, No. 3, pp. 353-374.
A. Asosheh, S. Nalchigar, and M. Jamporazmey. (2010). “Information teachnology project evaluation: An integrated data envelopment analysis and balanced scorecard approach,” Expert Systems with Applications, Vol. 37, pp.5931-5938.
X. Fan, S. Zhang, L. Wang, Y. Yang, and K. Hapeshi. (2013). “An Evaluation Model of Supply Chain Performances Using 5DBSC and LMBP Neural Network Algorithm.” Journal of Bionic Engineering, Vol. 10, pp. 383-395.
X. Fan, S. Zhang, L. Wang, Y. Yang, and K. Hapeshi. (2013). “An Evaluation Model of Supply Chain Performances Using 5DBSC and LMBP Neural Network Algorithm,” Journal of Bionic Engineering, Vol. 10, pp. 383-395.
สำนักงานรางวัลคุณภาพแห่งชาติ. 2557. เกณฑ์รางวัลคุณภาพแห่งชาติ ปี 2557-2558.
C. – N. Liao and H. – P. Kao. (2010). “Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming,” Computers & Industrial Engineering, Vol. 58, pp. 5571-577.
S. Li, B. Ragu-Nathan, T. S. Ragu-Nathan, and S. S. Rao. (2006). “The impact of supply chain management practices on competitive advantage and organizational performance,” Omega, Vol. 34, pp. 107-124, 2006.
A. Dargi, A. Anjomshoae, M. R. Galankashi, A. Memari, and M. B. M. Tapa. (2014). “Supplier selection: A fuzzy-ANP approach,” Procedia Computer Science, Vol. 31, pp. 691-700.
P. Chatterjee, P. Mukherjee, S. Chakraborty. (2011). “Supplier selection using compromise ranking and outranking methods,” J. Ind. Eng. Int., Vol. 7, No. 14, pp. 61-73.
C. – N. Liao. (2010). “Supplier selection project using an integrated Delphi, AHP and Taguchi loss function,” ProbStat Forum, Vol. 03, pp. 118-134.
A. K. Kar and A. K. Pani. (2014). “Exploring the importance of different supplier selection criteria,” Management Research Review, Vol. 37, No. 1, pp. 89-105.
I. N. Caddy and M. M. Helou. (2007). “Supply chains and their management: Application of general systems theory,” Journal of Retailing and Consumer Services, vol. 14, pp. 319-327.
H. A. E. M. Ali, I. A. AI-Sulaihi, and K. S. AI-Gahtani. (2013). “Indicators for measuring performance of building construction companies in Kingdom of Saudi Arabia,” Journal of King Saud University – Engineering Sciences, Vol. 25, pp. 125-134.
X. Su and Y. Wang. (2009). “Financial failure prediction using efficiency as a predictor,” Expert Systems with Applications, Vol. 36, pp. 366-373.
M. Zeydan, C. Colpan, and C. Cobanoglu. (2011). “A combined methodology for supplier selection and performance evaluation,” Expert Systems with Applications, Vol. 38, pp. 2741-2751.
W. Ho, X. Xu, and P. K. Dey. (2010). “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” European Journal of Operational Research, Vol. 202, pp. 16-24.
V. Ojanen, P.Piippo, and M. Tuominen. (2002). “Applying quality award criteria in R&D project assessment,” International Journal of Production Economics, Vol. 80, pp. 119-128.
จารุณี วงศ์กันตา. 2552. “การประเมินปัจจัยที่มีผลต่อความสำเร็จของการทำกิจกรรม CCCF,” วิทยานิพนธ์ ปริญญาโท ภาควิชาเกษตรศาตร์.
F. – H. F. Liu and H. L. Hai. (2005). “The voting analytic hierarchy process method for selecting supplier,” International Journal of Production Economic, Vol. 97, pp. 308-317.
Y. Lee and H. Lee. (2011). “Application of factor analysis for service R & D classification: A case study in on the Korean ICT industry,” Expert Systems with Applications, Vol. 38, pp. 2119-2124.
M.Emin Ocal, E. L. Oral, E. Erdis, and G. Vural. (2007). “Industry financial ratios-application of factor analysis in Turkish construction industry,” Building and Environment, Vol. 42, pp. 385-392.
ยุทธ ไกยวรรณ์. 2556. การวิเคราะห์สถิติหลายตัวแปรสำหรับงานวิจัย (Multivairate statistical analysis for research) สำนักพิมพ์แห่งจุฬาลงกรณ์มหาวิทยาลัย.
รสริน ศรีริกานนท์. 8 กุมภาพันธ์ 2557. การวิเคราะห์องค์ประกอบ (Factor Analysis). Available on: https://www.saruthipong.com/port/document/299-705/299-705-8.pdf