Abstract
Varied inspection is an on-line dynamic inspection method in which the amount of inspection performed fluctuates, based on production needs. A two-level control architecture of fuzzy controllers was used to perform varied inspection. The research was the application of varied inspection into three manufacturing subsystems: transfer lines, assembly, and disassembly. The results from each simulation showed that varied inspection could be used to meet production cycle aims while reducing manufacturing lead time. Varied inspection was compared with 100 per cent inspection to determine the significance of varied inspection compared with traditional quality control methods.
Highlights
Recent trends towards Industry 4.0 have led to the development of flexible technologies that are able to improve on traditional manufacturing methods, allowing for the production of differentiated products at low cost [1]
Similar research to this was performed by He and Chang [9], where inspection was focused on product key quality characteristics (PKQCs), as these characteristics held the most value in the product
Each fuzzy logic controller was developed in MATLAB M-files
Summary
Recent trends towards Industry 4.0 have led to the development of flexible technologies that are able to improve on traditional manufacturing methods, allowing for the production of differentiated products at low cost [1]. Previous research in varied inspection [6],[7] showed that this type of inspection plan could reduce work-in-process and manufacturing lead time for the benefit of the manufacturer, and could be applied to the mass customisation environment, as mass customisation requires flexible inspection tools and methods. Davrajh and Bright [8] developed a method of high inspection frequency without affecting production rates, as inspection was only performed on important areas of the product as prescribed by the customer Similar research to this was performed by He and Chang [9], where inspection was focused on product key quality characteristics (PKQCs), as these characteristics held the most value in the product. Reduced inspection could reduce inspection costs; a study performed by White et al [10] showed that reducing inspection on a fin gripper reduced appraisal costs and production time, as a selection algorithm was only used to inspect the important fin gripper features
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