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DMAIC Approach to Improve Carbon Weighing Compliance of Banburry Machine

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Computing in Engineering and Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1025))

Abstract

The research work done for improvement in carbon weighing compliance of mixing system of banburry machine is presented in this paper. As the carbon is one of the essential raw agents used in process of tire manufacturing. The carbon handling and transporting system used in banburry machine mixing process is one of the critical processes. Carbon weighing compliance is also known as efficiency of carbon usage. Plant optimization pillars are used for process improvements, new product developments, reducing breakdowns and improving product quality. This research work is mainly focused on the application of DMAIC phases (Define, Measure, Analyze, Improve, Control) along with terotechnology to improve the value of carbon weighing compliance of mixing system by reducing the carbon breakdowns which occur repetitively. The top five carbon breakdowns were identified by analyzing the data of carbon breakdowns of year 2017 thoroughly. Application of DMAIC phases helped in creating new inspection checklists for the effective preventive maintenance of the carbon handling and transporting system of banburry machine. The average value of carbon weighing compliance is increased by 7.5542% (from 89.35 to 96.91%) and the reduction in average downtime is 16.92% (from 490.33 to 407.33 min).

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Acknowledgements

Hereby I would like to thank the Goodyear South Asia Tyres Private limited, Aurangabad for giving me the opportunity for completing my M-Tech Dissertation Project. I am very thankful to my industrial guide Mr. Anish Kumar, Manager, Goodyear South Asia Pvt. Ltd., Aurangabad for guiding me throughout the completion of my dissertation work at industry.

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Correspondence to Saurabh Vaidya .

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Vaidya, S., Bhosle, S., Ambad, P. (2020). DMAIC Approach to Improve Carbon Weighing Compliance of Banburry Machine. In: Iyer, B., Deshpande, P., Sharma, S., Shiurkar, U. (eds) Computing in Engineering and Technology. Advances in Intelligent Systems and Computing, vol 1025. Springer, Singapore. https://doi.org/10.1007/978-981-32-9515-5_75

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