Integrasi forecasting pada rantai pasok manufaktur komponen otomotif Jepang di Indonesia dengan penerapan metode classic dan regresi
DOI:
https://doi.org/10.22441/oe.2020.v12.i3.011Kata Kunci:
forecasting, ARIMA, MLR, inventory, supply chainAbstrak
The need of spark plugs as a replacement component has a potential demand, especially for a Company from Japan which establish in the last 40 year ago as manufacture of spark plugs in Indonesia. Sales forecast of spark plugs that develop by Company for aftermarket class has big error. It makes a question ‘how to improve the accuracy of forecasting spark plugs in the aftermarket class to reduce losses in the supply chain process’, such as loss due to inventory, production and transportation. In this study, it was found that using ARIMA and MLR methods could increase level of accuracy than current forecasting method by Company. It was found that the increment in forecasting accuracy by using ARIMA and MLR was able to reduce operational costs up to 25.05% per year in overtime costs and 40.21% per year in finished goods inventory costs. In addition, reducing the cost of shipping materials by 24.90% per year, and reducing inventory costs on suppliers by 25.74% per year.
Unduhan
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
