Proceedings of the Fourth International Conference on Administrative Science (ICAS 2022)

<Previous Article In Volume
Next Article In Volume>

Forecasting for Optimizing New Product Inventory at Nayara Company

Authors
Annisa1, *, Pepi Zulvia1
1Public Sector Business Administration, Politeknik STIA LAN, Bandung, Indonesia
*Corresponding author. Email: annisakustendi@gmail.com
Corresponding Author
Annisa
Available Online 29 September 2023.
DOI
10.2991/978-2-38476-104-3_24How to use a DOI?
Keywords
Forecasting; Economic Order Quantity (EOQ); Reorder Point; Safety Stock
Abstract

Inventories that increase the cost of storage and maintenance also increase the potential for decreasing the quality of raw materials, reducing company profits. However, if there is too little inventory, it will affect profits and the Company will fail to optimize production. Nayara company has problems controlling inventory; there is no inventory control method, resulting in stockpiling of inventory in the warehouse. Nayara company must have a calculation method to optimize production by reducing ordering and storage costs. This study uses the time series forecasting method to find out the lowest MAD, MSE, and MAPE values. The results in this study are known that the Linear Regression with Trend forecasting method is a forecasting method with a smaller error value and produces a safety stock of 109 pcs, the optimal order in one message is 166 pcs, the frequency of ordering is 20 times. And Nayara Company must place an order again when the inventory in the warehouse is 263 pcs left to create a controlled inventory condition.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Fourth International Conference on Administrative Science (ICAS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 September 2023
ISBN
10.2991/978-2-38476-104-3_24
ISSN
2352-5398
DOI
10.2991/978-2-38476-104-3_24How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Annisa
AU  - Pepi Zulvia
PY  - 2023
DA  - 2023/09/29
TI  - Forecasting for Optimizing New Product Inventory at Nayara Company
BT  - Proceedings of the  Fourth International Conference on Administrative Science (ICAS 2022)
PB  - Atlantis Press
SP  - 224
EP  - 238
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-104-3_24
DO  - 10.2991/978-2-38476-104-3_24
ID  - 2023
ER  -