Abstract
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.
Highlights
Considering the literature information mentioned above, the present study proposed a new basis to increase the performance of an automotive manufacturing industry considered as micro, small, and medium enterprises (MSME)
This paper demonstrates the effective utilization of Pareto analysis (PA), fishbone diagram (FBD), and overall equipment effectiveness (OEE) to mitigate the problems, which further spreads to increase the performance of the automotive industry
The healthy strategies in the industry help to sustain effectiveness for qualitative quantitative production, which leads to higher customer satisfaction
Summary
The numerous considerations such as demand for a quality product at cost-conscious value, competition, exploration of new technology make reliability more critically during their design [1]. Recent advancements reveal an incredible improvement in the use of reliability engineering due to more intricate and advanced systems, which cater to the needs of the customer-driven market inefficient manner [2]. The reliability engineering was categorized into the specialized area. Reliability engineering faces a wide variety of challenges in today’s industrial transformation.
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