Influence of Machining Attributes in Refining Overall Equipment Effectiveness
Ashwani Tayal1, Nirmal Singh Kalsi2
1Ashwani Tayal, Scholar Department of Mechanical Engineering, IKGPTU, Kapurthala, India.
2Nirmal Singh Kalsi, Professor Department of Mechanical Engineering, Beant College of Engg. & Tech/ IKGPTU , Gurdaspur , Punjab, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 2148-2154 | Volume-9 Issue-2, December 2019. | Retrieval Number: B8022129219/2019©BEIESP | DOI: 10.35940/ijitee.B8022.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Unremitting readiness of consistent erudite equipment with precision is need of the competitive market. The manufacturing data must be analyzed and acquired automatically due to increase in digitization of industry in present era. Industrial establishments continuously converging on refining the productivity output as this is direct linked with the equipment efficiency and the process. Lack of the productivity measurement attributes leads to industrial firms at strange line concert. The overall production performance affected by the production of nonconforming product. Overall equipment effectiveness, vigorous key performance indicator(KPI) of this incorporation. This paper investigates the finding of serious factors. The experiments were conducted with different machining attributes and suggestions were implemented in Micro Small and Medium Enterprises (MSME)automotive manufacturing unitto counter OEE.This learning reveals that the machining attributes of process is not known to the operators which results in low OEE of the machines. Result of the study presents that the implementation of suggestion has successfully increased the availability from 90.6% to 96.5 %, Performance from 76.90% to 81.30% and Quality from 90 % to 94.8 %. The OEE has been improved from 62.70 % to 74.30%.
Keywords: Automotive, KPI, Overall Equipment Effectiveness and Productivity.
Scope of the Article: Mechanical Design