Abstract
Evidence shows that six sigma and its tools have helped in the manufacturing process in a medium and small-scale organization. However, there are still many industries where six sigma implementations are not been so predominant. Hence this paper deals with the application of DMAIC methodology in the tyre production process to reduce the cycle time in the curing process. Steam that is needed to generate heat and pressure has many disadvantages like the price of steam energy, difficulties during handling, the nonexistence of tractability in fixing parameters, risk in quality due to overheating and many other factors. Hence to enrich the quality of tyre and to maintain sustainability, it is necessary to implement optimization techniques. In this paper, integration of DMAIC and multi-objective optimization is carried out, which offers companies and managers a better understanding of the strategies and their operational measures. Balancing six sigma and multi-objective optimization is a complicated and challenging task to reduce variability. DPU and DPMO are carried out for each sub-process in the curing process to find the root cause of the problem. Also, studies on multiple linear regression and signal to noise ratio have been implemented to strengthen the work. The objective of this paper is to reduce the cycle time in the curing process so that defects are reduced, which leads to good quality by the implementation of planning strategies thereby stabilizing the process by continuous improvement.
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Sreelakshmi, M., Devika, J., John, A.T., Deepa, O.S. (2021). Reducing the Time Delay in Curing Process by the Implementation of DMAIC in Tyre Production. In: Phanden, R.K., Mathiyazhagan, K., Kumar, R., Paulo Davim, J. (eds) Advances in Industrial and Production Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-4320-7_42
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DOI: https://doi.org/10.1007/978-981-33-4320-7_42
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