Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry

Automotive Manufacturing Industry usually known implementing all six sigma method and lean manufacturing. However, actual practicality in the world of manufacturing, there are a lot of factors contributes that become the challenge to the ideal of lean production line. Not exclude those factors, ther...

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Main Authors: N. F. A., Ghani, S. N. A. M., Zaini, Mohd Yazid, Abu
Format: Article
Language:English
Published: Penerbit UMP 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/28189/7/Assessment%20the%20unused%20capacity%20using%20time%20driven%20activity.pdf
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author N. F. A., Ghani
S. N. A. M., Zaini
Mohd Yazid, Abu
author_facet N. F. A., Ghani
S. N. A. M., Zaini
Mohd Yazid, Abu
author_sort N. F. A., Ghani
collection UMP
description Automotive Manufacturing Industry usually known implementing all six sigma method and lean manufacturing. However, actual practicality in the world of manufacturing, there are a lot of factors contributes that become the challenge to the ideal of lean production line. Not exclude those factors, there is no methods to identify the possible lost cost by the factors. This research is to identify the used and unused capacity exist in production line that considering factors affecting the production line at real time. Time-driven activity-based costing (TDABC) is identified as one of the powerful tools to analyze the actual condition of production. Cost-driver rate is defined in Phase 3 where the highest capacity cost rate calculated is RM0.67 per minutes which involving Station 3, Station 5, Station 7 and Station 8. The least capacity cost rate is RM0.33 per minutes recorded by Station 0(Preparation), Station 2 and Station 6. Ten time equations for each station at trim line is developed. During the development of time equation, criticality of Station 7 when it became the only station affected with all thirteen factors listed can be seen as station that needed focus for improvement or target for lean manufacturing. In regards of the relevancy of applying TimeDriven Activity-Based Costing, as a whole, TD-ABC can be used to identify the estimation capacity used either over or underused. Not only unused capacity is identified, but result shows Station 0 is overused by 2932 minutes equals to RM967.56. Therefore, based on the result obtained, station with overused capacity and several stations with underused capacity gives a clear overview to the management of the company for better investment strategy.
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spelling UMPir281892020-06-29T01:57:12Z http://umpir.ump.edu.my/id/eprint/28189/ Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry N. F. A., Ghani S. N. A. M., Zaini Mohd Yazid, Abu TS Manufactures Automotive Manufacturing Industry usually known implementing all six sigma method and lean manufacturing. However, actual practicality in the world of manufacturing, there are a lot of factors contributes that become the challenge to the ideal of lean production line. Not exclude those factors, there is no methods to identify the possible lost cost by the factors. This research is to identify the used and unused capacity exist in production line that considering factors affecting the production line at real time. Time-driven activity-based costing (TDABC) is identified as one of the powerful tools to analyze the actual condition of production. Cost-driver rate is defined in Phase 3 where the highest capacity cost rate calculated is RM0.67 per minutes which involving Station 3, Station 5, Station 7 and Station 8. The least capacity cost rate is RM0.33 per minutes recorded by Station 0(Preparation), Station 2 and Station 6. Ten time equations for each station at trim line is developed. During the development of time equation, criticality of Station 7 when it became the only station affected with all thirteen factors listed can be seen as station that needed focus for improvement or target for lean manufacturing. In regards of the relevancy of applying TimeDriven Activity-Based Costing, as a whole, TD-ABC can be used to identify the estimation capacity used either over or underused. Not only unused capacity is identified, but result shows Station 0 is overused by 2932 minutes equals to RM967.56. Therefore, based on the result obtained, station with overused capacity and several stations with underused capacity gives a clear overview to the management of the company for better investment strategy. Penerbit UMP 2020 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28189/7/Assessment%20the%20unused%20capacity%20using%20time%20driven%20activity.pdf N. F. A., Ghani and S. N. A. M., Zaini and Mohd Yazid, Abu (2020) Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry. Journal of Modern Manufacturing Systems and Technology (JMMST), 4 (1). pp. 82-94. ISSN 2636-9575. (Published) https://doi.org/10.15282/jmmst.v4i1.3839 https://doi.org/10.15282/jmmst.v4i1.3839
spellingShingle TS Manufactures
N. F. A., Ghani
S. N. A. M., Zaini
Mohd Yazid, Abu
Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title_full Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title_fullStr Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title_full_unstemmed Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title_short Assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
title_sort assessment the unused capacity using time driven activity based costing in automotive manufacturing industry
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/28189/7/Assessment%20the%20unused%20capacity%20using%20time%20driven%20activity.pdf
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