Adoption of RFID for inventory management
Inventory management has been consistently striving for improvements to achieve optimal solutions. Success models such as the Kanban system and Material Resource planning (MRP) systems have been put into practice. In order to significantly aid best practices in both models, real-time monito...
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sg-ntu-dr.10356-418792023-03-04T18:20:47Z Adoption of RFID for inventory management Lim, Fang Yu. Lee Ka Man, Carman School of Mechanical and Aerospace Engineering Panasonic Refrigeration Devices Singapore DRNTU::Engineering::Manufacturing::Inventory control Inventory management has been consistently striving for improvements to achieve optimal solutions. Success models such as the Kanban system and Material Resource planning (MRP) systems have been put into practice. In order to significantly aid best practices in both models, real-time monitoring through Radio Frequency Identification (RFID) can be adopted. By recognizing the abilities of both the hardwares and softwares available in the market today, good decision making can be practised. These decisions, together with data obtained from RFID middleware, can help to achieve optimal orders. In addition, stock taking time for accounting purposes can be reduced. Thus, this project hopes to create a model by conducting a case study of a company to help explore the feasibilities of adopting RFID. Equipments used in this study include a handheld RFID computer, passive tags, RFID readers and its related software. These were used for testing errors and interferences. With the information collected, decisional tools can be recommended for optimal solutions. Return of Investments was also calculated as it is the primary concern of organizations. Findings from this study have shown how RFID technology can increase labour productivity and serve as a platform to expand to the whole supply chain. Bachelor of Engineering (Mechanical Engineering) 2010-09-02T00:39:20Z 2010-09-02T00:39:20Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/41879 en Nanyang Technological University 83 p. application/pdf |
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DRNTU::Engineering::Manufacturing::Inventory control Lim, Fang Yu. Adoption of RFID for inventory management |
description |
Inventory management has been consistently striving for improvements to achieve
optimal solutions. Success models such as the Kanban system and Material Resource
planning (MRP) systems have been put into practice. In order to significantly aid best
practices in both models, real-time monitoring through Radio Frequency Identification
(RFID) can be adopted. By recognizing the abilities of both the hardwares and softwares
available in the market today, good decision making can be practised. These decisions,
together with data obtained from RFID middleware, can help to achieve optimal orders.
In addition, stock taking time for accounting purposes can be reduced. Thus, this project
hopes to create a model by conducting a case study of a company to help explore the
feasibilities of adopting RFID. Equipments used in this study include a handheld RFID
computer, passive tags, RFID readers and its related software. These were used for
testing errors and interferences. With the information collected, decisional tools can be
recommended for optimal solutions. Return of Investments was also calculated as it is
the primary concern of organizations. Findings from this study have shown how RFID
technology can increase labour productivity and serve as a platform to expand to the
whole supply chain. |
author2 |
Lee Ka Man, Carman |
author_facet |
Lee Ka Man, Carman Lim, Fang Yu. |
format |
Final Year Project |
author |
Lim, Fang Yu. |
author_sort |
Lim, Fang Yu. |
title |
Adoption of RFID for inventory management |
title_short |
Adoption of RFID for inventory management |
title_full |
Adoption of RFID for inventory management |
title_fullStr |
Adoption of RFID for inventory management |
title_full_unstemmed |
Adoption of RFID for inventory management |
title_sort |
adoption of rfid for inventory management |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/41879 |
_version_ |
1759855786140368896 |