Pattern Recognition Using Mahalanobis-Taguchi System on Connecting Rod through Remanufacturing Process: A Case Study

Author:

Abu Mohd Yazid1,Jamaludin Khairur Rijal2,Ramlie Faizir2

Affiliation:

1. Universiti Teknologi Malaysia

2. UTM Razak School of Engineering and Advanced Technology

Abstract

To categorize the different patterns of connecting rod based on the extent to which the product is remanufacturable is very challenging because of the existence of various models and wide tolerances. Sometimes it cannot be done due to the improper pattern recognition system. Mahalanobis-Taguchi System (MTS) is a diagnostic method employing Mahalanobis Distance (MD) for recognizing different patterns in multivariate data. The aim of this work is to apply T method-3, a sub-method of MTS, to the big-end diameter of connecting rod to distinguish between two distinct ranges within the remanufacturability process spectrum. Furthermore, the method also categorizes various patterns of connecting rod based on their MD from unit space with graphical illustration. The case study is performed in an automotive industry as well as in a contract remanufacturing environment in Malaysia. The outcome of this work is expected to be the enhancement of robustness in the remanufacturing system on pattern recognition applicable to the company under study. It is expected that the company will experience time and energy savings and improved work quality. The resulting systematic analysis is expected to enable fast decision-making. Finally, this study is expected to invoke among researchers a sense of seriousness in their approach towards various case studies involving the upgrading of the remanufacturing process that will bring Malaysias remanufacturing capability on par with that of other developed countries.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference15 articles.

1. Ijomah, W.L., Childe, S., McMahon, C., Remanufacturing: A Key Strategy for Sustainable Development, In: Proceedings of the Third International Conference on Design and Manufacture for Sustainable Development, Loughborough, UK, (2004) 99-102.

2. Hauser, W.M., Lund, R.T., The Remanufacturing Industry: Anatomy of a Giant, Report. Boston University. (2003).

3. U.S. Department of Commerce, On The Road: U.S. Automotive Parts Industry Annual Assessment. Office of Transportation and Machinery. (2010).

4. Taguchi G, Chowdhury S, Wu Y., The Mahalanobis–Taguchi System, New York: McGraw-Hill. (2001).

5. Su CT, Hsiao YH., An evaluation of the robustness of MTS for imbalanced data, IEEE Trans Knowledge Data Eng. 19 (2007) 1321–1332.

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