This paper is published in Volume-5, Issue-3, 2019
Area
Industrial Engineering
Author
Kaushik Amonkar, Dr. Jayant K. Kittur
Org/Univ
KLS Gogte Institute of Technology, Belgaum, Karnataka, India
Keywords
Tyre industry, DMAIC, Productivity improvement, Fishbone diagram, Tyre defects
Citations
IEEE
Kaushik Amonkar, Dr. Jayant K. Kittur. Productivity improvement in tyre manufacturing plant, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kaushik Amonkar, Dr. Jayant K. Kittur (2019). Productivity improvement in tyre manufacturing plant. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.
MLA
Kaushik Amonkar, Dr. Jayant K. Kittur. "Productivity improvement in tyre manufacturing plant." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.
Kaushik Amonkar, Dr. Jayant K. Kittur. Productivity improvement in tyre manufacturing plant, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Kaushik Amonkar, Dr. Jayant K. Kittur (2019). Productivity improvement in tyre manufacturing plant. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.
MLA
Kaushik Amonkar, Dr. Jayant K. Kittur. "Productivity improvement in tyre manufacturing plant." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.
Abstract
This paper focuses on studying the production processes at Tyre manufacturing plant in order to understand the current productivity and suggesting the ways to improve the same. In any production processes, the major factors affecting the productivity are the non-value added activities and defects/non- conformities generated plus the rework done to eliminate the defects. DMAIC methodology is used to carry out the study. Initially, the current performance of the system is studied and measured using techniques like Time study and Process Capability. Next techniques like FMEA and Root Cause analysis are implemented to analyze and identify the sources of non-conformities. Improvement in the Loading and Unloading Efficiency is achieved from 58.835% to 100 %. Since 4 seconds were saved for every batch which resulted in saving 940 seconds or 15.677 minutes per shift. This resulted in increasing the batch number from 235 to 245 batches per shift per mixer. Also, the 3M/4M condition is suggested to reduce the major defect from potentially occurring in both Tyre building and Tyre Curing department.