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Total Quality Management & Business Excellence Volume 30, 2019 - Issue 5-6
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Articles

Measurement system analysis for continuous quality improvement in automobile SMEs: multiple case study

Jigar A. Doshia Department of Mechanical Engineering, R. K. University, Rajkot, India;b 4C Consulting Pvt. Ltd., Ahmedabad, IndiaCorrespondence[email protected]
&
Darshak A. Desaic Mechanical Engineering Department, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, India
Pages 626-640 | Published online: 12 May 2017

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Williane de Oliveira Silva Soares, Rogério Santana Peruchi, Rômulo Augusto Ventura Silva & Paulo Rotella Junior. (2022) Gage R&R studies in measurement system analysis: A systematic literature review. Quality Engineering 34:3, pages 382-403.
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Andrea Chiarini & Emidia Vagnoni. (2020) Can IATF 16949 certification facilitate and foster Lean Six Sigma implementation? Research from Italy. Total Quality Management & Business Excellence 31:7-8, pages 887-906.
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Articles from other publishers (5)

J. Vicente Tébar-Rubio, F. Javier Ramírez & M. José Ruiz-Ortega. (2022) Conducting Action Research to Improve Operational Efficiency in Manufacturing: The Case of a First-Tier Automotive Supplier. Systemic Practice and Action Research 36:3, pages 427-459.
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Eleonora Bottani, Roberto Montanari, Andrea Volpi & Letizia Tebaldi. (2023) Statistical process control of assembly lines in manufacturing. Journal of Industrial Information Integration 32, pages 100435.
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Ameya Shirodkar & Suraj Rane. (2021) Evaluation of Coordinate measuring machine using Gage Repeatability & Reproducibility. International Journal of System Assurance Engineering and Management 12:1, pages 84-90.
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Eleonora Bottani, Roberto Montanari, Andrea Volpi, Letizia Tebaldi & Giulio Di Maria. (2021) Statistical Process Control of assembly lines in a manufacturing plant: Process Capability assessment. Procedia Computer Science 180, pages 1024-1033.
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Mahipal Singh, Rajeev Rathi, Dinesh Khanduja, Gurpreet Singh Phull & Mahender Singh Kaswan. 2020. Advances in Intelligent Manufacturing. Advances in Intelligent Manufacturing 1 16 .

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