Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

A Flexible Policy Using Failure Rate to Forecast the Repairable Spare Part Stock out Time

Authors
Hui Ming Wee, Kuo Hsing Wu, Daryanto Yosef
Corresponding Author
Hui Ming Wee
Available Online June 2017.
DOI
10.2991/msmi-17.2017.35How to use a DOI?
Keywords
inventory management; spare part; forecasting; part availability
Abstract

Since spare part availability impacts the fixing rate for defective device, maintaining an acceptable spare part availability level is critical for improving customer satisfaction level. Spare part demand is typically unpredictable due to varying service requests. Most companies set a fix period for maintenance and repair. This fixed period of repair model is a waste if the device is in a good condition. To improve the system, this study proposes a flexible return policy using failure rate to forecast the possible stock out time point. Once the specific point is found, the least repair turnaround time (TAT) is set for defective spare part shipment. By this mean, the repaired spare part will arrive at the warehouse to replenish the stock. Similar scenario also applies to the out of warranty period for the dropping service demand. For practical industrial application, this model also considers the last time buy and the defective spare part scrap rate practices.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
June 2017
ISBN
10.2991/msmi-17.2017.35
ISSN
2352-5428
DOI
10.2991/msmi-17.2017.35How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Ming Wee
AU  - Kuo Hsing Wu
AU  - Daryanto Yosef
PY  - 2017/06
DA  - 2017/06
TI  - A Flexible Policy Using Failure Rate to Forecast the Repairable Spare Part Stock out Time
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 154
EP  - 158
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.35
DO  - 10.2991/msmi-17.2017.35
ID  - Wee2017/06
ER  -