Analysis of Placement Maximizing Planning in Warehouse Using FSN Analysis Using Class Based Storage Method (Case Study: PT. XYZ)
- DOI
- 10.2991/aebmr.k.200305.134How to use a DOI?
- Keywords
- warehouse, Class Based Storage, Fast Slow Non Moving analysis
- Abstract
The current era of Industrialization 4.0 has caused many new companies to emerge, including logistics companies. One of them is PT. XYZ, a state-owned company engaged in freight forwarding and warehousing services. Constraints in the placement of goods in the warehouse, namely, the goods stored are sometimes not in accordance with the specified place, the placement of goods on the empty side of the entrance to the warehouse makes a buildup, inhibits the process of inbound and outbound and unequal distance between goods makes the goods not neat. The Class Based Storage method in this study helps the arrangement and placement of goods in the warehouse. To classify goods based on intensity of movement of goods used Fast Slow Non Moving (FSN) analysis. FSN analysis results state the placement of goods in the warehouse, the maximum number of repairs before doing the repair is 4,482 units of goods and after doing repairs to the warehouse lay out of 5,500 units of goods, minimizing search time and shorter mileage with an efficiency level of 30% of the conditions previous.
- Copyright
- © 2020, 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 - Candrianto AU - Fitra Aulia AU - Mia Ayu Gusti AU - Mutiara Novenica AU - Egy Juniardi PY - 2020 DA - 2020/03/10 TI - Analysis of Placement Maximizing Planning in Warehouse Using FSN Analysis Using Class Based Storage Method (Case Study: PT. XYZ) BT - Proceedings of the 4th Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2019) PB - Atlantis Press SP - 682 EP - 695 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200305.134 DO - 10.2991/aebmr.k.200305.134 ID - 2020 ER -