Citation

Sim, Kok Swee and Yeo, Boon Chin and Tan, Jin Long (2020) A Fuzzy Forecasting Logic for Glove Protein Sample Retrieving System. Engineering Letters, 28 (4). pp. 1152-1160. ISSN 1816-093X

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Abstract

This research paper discusses the design of a fuzzy logic controller to control the cutting efficiency of the latex glove sample retrieving system. The protein level estimation system used in glove manufacturer as quality assurance requires tedious procedures to retrieve samples from latex glove for sample preparation. Total of eight pieces of sample are cut from a latex glove with 20 mm by 20 mm dimension per piece. However, the protein sample extraction process usually is time-consuming and causing in the dropping of production efficiency rate. The fuzzy logic controller is a method that can make the decision with rule-based that is based on human knowledge. The fuzzy logic is developed for the latex glove sample retrieving system with glove weight and cutting deepness diagnosis. The applied fuzzy logic design can perform the deepness adjustment of cutting edge. The purpose of this research is to improve the efficiency of the cutting process with the implementation of fuzzy logic controller system. First improvement is the deepness control of the cutting actuator, which the performance has been increased from 95.20% to 98.79%. Second improvement is related to the sample size accuracy, which has been increased from 81.87 % to 90.99%.

Item Type:	Article
Uncontrolled Keywords:	Quality Assurance
Subjects:	T Technology > TS Manufactures > TS155-194 Production management. Operations management
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	25 Oct 2021 03:20
Last Modified:	25 Oct 2021 03:20
URII:	http://shdl.mmu.edu.my/id/eprint/8342

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