Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia

Effective Raw Material Inventory Management is crucial for overall company performance, demanding significant improvements. In the current technologically advanced landscape, the imperative adoption of the Internet of Things (IoT) is crucial for propelling inventory management forward and amplifying...

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Published in:JURNAL KEJURUTERAAN
Main Authors: Rusli, Mohd Hazri Mohd; Hassan, Mohamad Khairi; Muhamud-Kayat, Suzilawati; Michael, Elvianney
Format: Article
Language:English
Published: UKM PRESS 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001295529700027
author Rusli
Mohd Hazri Mohd; Hassan
Mohamad Khairi; Muhamud-Kayat
Suzilawati; Michael
Elvianney
spellingShingle Rusli
Mohd Hazri Mohd; Hassan
Mohamad Khairi; Muhamud-Kayat
Suzilawati; Michael
Elvianney
Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
Engineering
author_facet Rusli
Mohd Hazri Mohd; Hassan
Mohamad Khairi; Muhamud-Kayat
Suzilawati; Michael
Elvianney
author_sort Rusli
spelling Rusli, Mohd Hazri Mohd; Hassan, Mohamad Khairi; Muhamud-Kayat, Suzilawati; Michael, Elvianney
Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
JURNAL KEJURUTERAAN
English
Article
Effective Raw Material Inventory Management is crucial for overall company performance, demanding significant improvements. In the current technologically advanced landscape, the imperative adoption of the Internet of Things (IoT) is crucial for propelling inventory management forward and amplifying the visibility of raw materials. This case study is dedicated to developing an IoT Kaizen System, meticulously aligned with the Smart Lean Factory Inventory Control Framework, tailored to enhance Raw Material Inventory Management within an SME factory in Seremban, Negeri Sembilan. With a focal point on Loft Layer materials, the study encompasses Raw Material Ordering, Receiving, and Charging Out Log operations. Leveraging web-based tools such as Google Sheets, AppSheet, and Looker Studio, the system adeptly digitizes manual processes, tracking real-time data and integrating data visualization tools for informed decision-making. Implemented within a genuine industrial context, the project is intricately tailored to meet the unique preferences and requirements of the company, ensuring a customized solution that aligns with industry standards and reflects specific operational nuances. The resulting digital system introduces a structured, simplified, and efficient approach to Raw Material Inventory Management, injecting enhanced operational control and adaptability into the companys' workflow. Through the system implementation, warehouse space was reduced by 15%, order processing was done fully digitally that achieve zero case of ordering error and achieved zero case of material stock out. This system can adjust to whats' needed in modern manufacturing. It proves that using innovation and technology can make a business better by making things run more smoothly and helping with decision-making.
UKM PRESS
0128-0198
2289-7526
2024
36
4

Engineering

WOS:001295529700027
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001295529700027
title Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
title_short Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
title_full Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
title_fullStr Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
title_full_unstemmed Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
title_sort Development of IoT Kaizen System for Smart Lean Raw Material Inventory Management: A case study at an SME factory in Malaysia
container_title JURNAL KEJURUTERAAN
language English
format Article
description Effective Raw Material Inventory Management is crucial for overall company performance, demanding significant improvements. In the current technologically advanced landscape, the imperative adoption of the Internet of Things (IoT) is crucial for propelling inventory management forward and amplifying the visibility of raw materials. This case study is dedicated to developing an IoT Kaizen System, meticulously aligned with the Smart Lean Factory Inventory Control Framework, tailored to enhance Raw Material Inventory Management within an SME factory in Seremban, Negeri Sembilan. With a focal point on Loft Layer materials, the study encompasses Raw Material Ordering, Receiving, and Charging Out Log operations. Leveraging web-based tools such as Google Sheets, AppSheet, and Looker Studio, the system adeptly digitizes manual processes, tracking real-time data and integrating data visualization tools for informed decision-making. Implemented within a genuine industrial context, the project is intricately tailored to meet the unique preferences and requirements of the company, ensuring a customized solution that aligns with industry standards and reflects specific operational nuances. The resulting digital system introduces a structured, simplified, and efficient approach to Raw Material Inventory Management, injecting enhanced operational control and adaptability into the companys' workflow. Through the system implementation, warehouse space was reduced by 15%, order processing was done fully digitally that achieve zero case of ordering error and achieved zero case of material stock out. This system can adjust to whats' needed in modern manufacturing. It proves that using innovation and technology can make a business better by making things run more smoothly and helping with decision-making.
publisher UKM PRESS
issn 0128-0198
2289-7526
publishDate 2024
container_volume 36
container_issue 4
doi_str_mv
topic Engineering
topic_facet Engineering
accesstype
id WOS:001295529700027
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001295529700027
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