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Diagnosis and Costing Optimization on Inductors in Electrics and Electronics Industry

Filzah Lina, Mohd Safeiee and Mohd Yazid, Abu and Nik Nurharyantie, Nik Mohd Kamil and Nurul Farahin, Zamrud (2020) Diagnosis and Costing Optimization on Inductors in Electrics and Electronics Industry. In: iMEC-APCOMS 2019: Proceedings of the 4th International Manufacturing Engineering Conference and The 5th Asia Pacific Conference on Manufacturing Systems, 21-22 August 2019 , Putrajaya, Malaysia. pp. 121-127.. ISBN 978-981-15-0950-6

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The issue of quality and cost of product will be the important aspects in manufacturing industry. But generally, most organization will separate between these two but it is good chance to combine between quality and cost during production process especially for costing improvement. This work presents the application of the Mahalanobis–Taguchi system (MTS) with Time-driven activity-based costing (TDABC). Therefore, the aim of this research is to do the diagnosis process on production line in electric and electronics Company using MTS and TDABC. Mahalanobis distance (MD), which is well known in multivariate statistics through MTS which is a data analytic method for diagnosis and pattern recognition of multivariate data. From this work can state that, the higher the MD, the higher the impact of the parameter to the normal condition. TDABC is a method used to calculate the capacity cost rate multiplied by the time activity, and then MTS is the method to find out the abnormal condition of the data. By using diagnosis MTS method with ABC and TDABC the analysis of electronics manufacturing industry performance indicators, it is possible to produce accurate analysis for managerial decisions.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Lecture Notes in Mechanical Engineering
Uncontrolled Keywords: Mahalanobis Taguchi method; Time-driven activity-based costing; Mahalanobis distance
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical & Manufacturing Engineering
Depositing User: Dr. Mohd Yazid Abu
Date Deposited: 30 Oct 2019 03:12
Last Modified: 30 Oct 2019 03:12
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