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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Main Author: Ryan Shifa Izzati, Ar
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73698
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:73698
spelling 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
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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
_version_ 1822993263884238848