Failure mode and effects analysis (FMEA) of furniture production: A case study in Kelantan state, Malaysia
The primary objective of this research is to study the critical region of the local furniture manufacturing company by using a Failure Mode and Effects Analysis (FMEA). At the same time, the study also aims to help the organization to minimize production costs by presenting the preliminary stage o...
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Main Authors: | , , , , , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2021
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Subjects: | |
Online Access: | http://eprints.unisza.edu.my/4579/1/FH03-FRIT-21-52819.pdf http://eprints.unisza.edu.my/4579/2/FH03-FRIT-21-52970.pdf http://eprints.unisza.edu.my/4579/ |
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Institution: | Universiti Sultan Zainal Abidin |
Language: | English English |
Summary: | The primary objective of this research is to study the critical region of the local furniture manufacturing company
by using a Failure Mode and Effects Analysis (FMEA). At the same time, the study also aims to help the organization to
minimize production costs by presenting the preliminary stage of the results of the assessment. Many industries used FMEA
as a method to improve the evaluation of the reliability of a production process. The use of FMEA is to analyze the layout
characteristics of the planned production process in order to ensure that the final product meets customer requirements and
expectations. It uses probabilities of detection and occurrence added with a few severity standards to create a risk priority
number (RPN) for rating improvement action considerations. Utilized in both the manufacturing and design processes, they
notably help to reduce cost factors with the aid of determining product and process improvements early within the
development process while changes are inexpensively and relatedly easy to do. Based on the results, there were two failure
modes with a higher RPN. The assessment is deductive as it periodically moves from one source to another. Thus, it can
assist the company in improving its manufacturing process by reducing the mistakes that been made by identifying the
cause and effect of it. |
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