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Analysis of Poor Quality Cost in Auto Industry: A Case Study Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Productivity Improvement by Applying Lean Tools for Manufacturing of Mechanical Seal

Authors : Aayush Shah, Sanket Sane, Mehul Prajapati

Published in: Proceedings of International Conference on Intelligent Manufacturing and Automation

Publisher: Springer Nature Singapore

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Abstract

Lean tools aid engineers and organization, to identify problems and various losses, waste and to reduce or eliminate them. Overall equipment effectiveness (OEE) is a successful lean tool to increase the productivity of the existing manufacturing process flow in a plant. The placement of various machine equipment, facilities for providing services, and staff amenities within a facility affects how effectively production is carried out. The paper gauges the OEE tool and plant layout to know the availability of the machines for manufacturing the seals, its efficiency, and overall quality of the product.

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Literature
1.
Dal B, Tugwell P, Greatbanks R (2000) Overall equipment effectiveness as a measure of operational improvement—a practical analysis. Int J Oper Prod Manage 20(12):1488–1502CrossRef
2.
Jana P, Tiwari M (2021) Lean and different approaches. Lean Tools Apparel Manuf 1(1): 3–5
3.
Garza-Reyes JA, Eldridge S, Barber K, Soriano-Meier Horacio (2010) Overall equipment effectiveness (OEE) and process capability (PC) measures: a relationship analysis. Int J Qual Reliab Manage 27(1):48–62CrossRef
4.
Tsarouhas PH (2013) Evaluation of overall equipment effectiveness in the beverage industry: a case study. Int J Prod Res 51(2):515–523CrossRef
5.
Gogi VS, Rohith D, Shashi Kiran K, Shaikh SM (2014) Efficiency improvement of a plant layout. Int J Innov Res Sci Eng Technol 3(4):11203–11209
Metadata
Title
Productivity Improvement by Applying Lean Tools for Manufacturing of Mechanical Seal
Authors
Aayush Shah
Sanket Sane
Mehul Prajapati
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of International Conference on Intelligent Manufacturing and Automation

Print ISBN: 978-981-19-7970-5

Electronic ISBN: 978-981-19-7971-2

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-7971-2_12

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