Effectiveness Improvement in Manufacturing Industry; Trilogy Study and Open Innovation Dynamics
| Autor: | Ashwani Tayal, Catalin I. Pruncu, Danil Yurievich Pimenov, Nirmal S. Kalsi, Murat Sarikaya, Munish Kumar Gupta |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
lcsh:Management. Industrial management Sociology and Political Science Computer science media_common.quotation_subject Automotive industry fishbone diagram asset utilization pareto analysis 02 engineering and technology lcsh:Business 010501 environmental sciences Development TS 01 natural sciences Overall equipment effectiveness 020901 industrial engineering & automation 1599 Other Commerce Management Tourism and Services Manufacturing ddc:650 Production (economics) Quality (business) Asset (economics) Productivity 0105 earth and related environmental sciences media_common business.industry 1099 Other Technology Manufacturing engineering lcsh:HD28-70 manufacturing industry overall equipment effectiveness lcsh:HF5001-6182 business General Economics Econometrics and Finance Pareto analysis |
| Zdroj: | Journal of Open Innovation: Technology, Market and Complexity, Vol 7, Iss 7, p 7 (2021) |
| ISSN: | 2199-8531 |
| DOI: | 10.3390/joitmc7010007 |
| Popis: | The purpose of this investigation is to compute overall equipment effectiveness (OEE) in the small-scale industry. The novel approach is introduced to detect bottlenecks by which OEE can be improved. This study attempts to help small-medium enterprises in analyzing performance in a better way. The automotive industry was chosen for conducting the research. The present study is comprised of three phases. In the first phase, OEE was computed and compared with world-class manufacturing. The second phase included three-level of Pareto analysis followed by making fishbone diagram to mitigate the losses. The third phase conducted improved OEE in the industry. There are seven major losses present in the industry that adversely affect the effectiveness of machine in any industry. This approach can reduce these losses and improve the quality, asset utilization (AU), OEE, total effective equipment performance (TEEP) and productivity of the machine. The study exposes that Pareto analysis uncovers all the losses and works on the principle of 80/20 rule. The major losses were thoroughly explored with the help of the fishbone diagram and solutions were implemented at the shop floor. As a result, availability, performance, quality, OEE, AU, and TEPP show improvements by 4.6%, 8.06%, 6.66%, 16.23%, 4.16%, and 14.58%, respectively. The approach offers a good opportunity for both researchers and small-medium enterprises around the world to analyze the indicators of production losses, performance, and productivity in the manufacturing industry. |
| Databáze: | OpenAIRE |
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