DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM
The finished goods warehouse of FMCG or fast moving customer goods medium to high companies in Indonesia face issues with data recording that does not match between the system and the actual goods, or the stocktaking accuracy that does not reach 100%. The accuracy problem in stocktaking can occur...
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id-itb.:736982023-06-22T22:49:36ZDESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM Ryan Shifa Izzati, Ar Indonesia Final Project Access Point, Inbound, Stocking, Picking, Outbound, Stock Opname, Algorithm INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/73698 The finished goods warehouse of FMCG or fast moving customer goods medium to high companies in Indonesia face issues with data recording that does not match between the system and the actual goods, or the stocktaking accuracy that does not reach 100%. The accuracy problem in stocktaking can occur due to human errors such as mistakes in scanning goods, picking goods, checking goods, and manually inputting data into the system. The impact is financial as the unrecorded goods are considered lost. One solution to address this problem is a warehouse management system (WMS) based on integrated software and hardware using RFID (Radio Frequency Identification) technology. This system consists of data acquisition subsystems, access points subsystems, and a cloud system that can identify physical goods and compare the information of these goods with the information stored in the cloud system or database. The access point subsystem serves as a connection between the data acquisition subsystem and the cloud system, enabling smooth operation of warehouse processes such as inbound, stocking, picking, outbound, and stocktaking. The access point subsystem acts as a node that receives scanned data of goods from multiple data acquisition subsystems, which include gate scanners and rack scanners in each operational process in the warehouse. It sends this data to the cloud system for processing and further storage. The implementation involves using Raspberry Pi 4B as an access point and creating a Python algorithm that can connect the data acquisition subsystem with the cloud system in each inbound, stocking, picking, outbound, and stocktaking process. The implementation results show that the created python algorithm 100% successfully connects the two subsystems without any missing data, but a Raspberry Pi access point can only cover a few rack scanners. text |
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The finished goods warehouse of FMCG or fast moving customer goods medium to
high companies in Indonesia face issues with data recording that does not match
between the system and the actual goods, or the stocktaking accuracy that does not
reach 100%. The accuracy problem in stocktaking can occur due to human errors
such as mistakes in scanning goods, picking goods, checking goods, and manually
inputting data into the system. The impact is financial as the unrecorded goods are
considered lost.
One solution to address this problem is a warehouse management system (WMS)
based on integrated software and hardware using RFID (Radio Frequency
Identification) technology. This system consists of data acquisition subsystems,
access points subsystems, and a cloud system that can identify physical goods and
compare the information of these goods with the information stored in the cloud
system or database. The access point subsystem serves as a connection between the
data acquisition subsystem and the cloud system, enabling smooth operation of
warehouse processes such as inbound, stocking, picking, outbound, and
stocktaking.
The access point subsystem acts as a node that receives scanned data of goods from
multiple data acquisition subsystems, which include gate scanners and rack
scanners in each operational process in the warehouse. It sends this data to the
cloud system for processing and further storage. The implementation involves using
Raspberry Pi 4B as an access point and creating a Python algorithm that can
connect the data acquisition subsystem with the cloud system in each inbound,
stocking, picking, outbound, and stocktaking process. The implementation results
show that the created python algorithm 100% successfully connects the two
subsystems without any missing data, but a Raspberry Pi access point can only
cover a few rack scanners. |
format |
Final Project |
author |
Ryan Shifa Izzati, Ar |
spellingShingle |
Ryan Shifa Izzati, Ar DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
author_facet |
Ryan Shifa Izzati, Ar |
author_sort |
Ryan Shifa Izzati, Ar |
title |
DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
title_short |
DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
title_full |
DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
title_fullStr |
DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
title_full_unstemmed |
DESIGN AND IMPLEMENTATION OF RASPBERRY PI 4B UTILIZATION AS ACCESS POINT IN WAREHOUSE MANAGEMENT SYSTEM |
title_sort |
design and implementation of raspberry pi 4b utilization as access point in warehouse management system |
url |
https://digilib.itb.ac.id/gdl/view/73698 |
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