Rupy Sawhney
Rupy Sawhney
Professor of Industrial & Systems Engineering, University of Tennessee
Verified email at - Homepage
Cited by
Cited by
Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers
GL Tortorella, AMC Vergara, JA Garza-Reyes, R Sawhney
International Journal of Production Economics 219, 284-294, 2020
Supply chain resilience for single and multiple sourcing in the presence of disruption risks
J Namdar, X Li, R Sawhney, N Pradhan
International journal of production research 56 (6), 2339-2360, 2018
Healthcare 4.0: trends, challenges and research directions
GL Tortorella, FS Fogliatto, A Mac Cawley Vergara, R Vassolo, ...
Production Planning & Control 31 (15), 1245-1260, 2020
A modified FMEA approach to enhance reliability of lean systems
R Sawhney, K Subburaman, C Sonntag, P Rao Venkateswara Rao, ...
International Journal of Quality & Reliability Management 27 (7), 832-855, 2010
Human behavior based exploratory model for successful implementation of lean enterprise in industry
R Sawhney, S Chason
Performance Improvement Quarterly 18 (2), 76-96, 2005
En-Lean: a framework to align lean and green manufacturing in the metal cutting supply chain
R Sawhney, P Teparakul, A Bagchi, X Li
International Journal of Enterprise Network Management 1 (3), 238-260, 2007
Sustainable nanotechnology: through green methods and life-cycle thinking
R Dhingra, S Naidu, G Upreti, R Sawhney
Sustainability 2 (10), 3323-3338, 2010
Designing lean value streams in the fourth industrial revolution era: proposition of technology-integrated guidelines
GL Tortorella, N Pradhan, E Macias de Anda, S Trevino Martinez, ...
International Journal of Production Research 58 (16), 5020-5033, 2020
A study of energy efficiency in residential buildings in Knoxville, Tennessee
M Mardookhy, R Sawhney, S Ji, X Zhu, W Zhou
Journal of cleaner production 85, 241-249, 2014
Developing a value stream map to evaluate breakdown maintenance operations
R Sawhney, S Kannan, X Li
International Journal of Industrial and Systems Engineering 4 (3), 229-240, 2009
A comparison on Industry 4.0 and Lean Production between manufacturers from emerging and developed economies
GL Tortorella, M Rossini, F Costa, A Portioli Staudacher, R Sawhney
Total Quality Management & Business Excellence 32 (11-12), 1249-1270, 2021
Environmental Justice Aspects of Exposure to PM2.5 Emissions from Electric Vehicle Use in China
RRS Lance W. Saunders, John E. Bell
Environ. Sci. Technol, 2015
A comparative analysis of management accounting systems’ impact on lean implementation
X Li, R Sawhney, EJ Arendt, K Ramasamy
International Journal of Technology Management 57 (1/2/3), 33-48, 2012
Mediating role of learning organization on the relationship between total quality management and operational performance in Brazilian manufacturers
G Tortorella, R Giglio, FS Fogliatto, R Sawhney
Journal of Manufacturing Technology Management 31 (3), 524-541, 2020
Empirical analysis of factors impacting turnover intention among manufacturing workers
Y Li, R Sawhney, GL Tortorella
International Journal of Business and Management 14 (4), 1-18, 2019
Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems
X Li, J Wang, R Sawhney
European Journal of Operational Research 221 (1), 99-109, 2012
Learning organisation and lean production: an empirical research on their relationship
GL Tortorella, D Fettermann, PA Cauchick Miguel, R Sawhney
International Journal of Production Research 58 (12), 3650-3666, 2020
Lean manufacturing implementation, context and behaviors of multi-level leadership: a mixed-methods exploratory research
G Tortorella, D Fettermann, M Anzanello, R Sawhney
Journal of Manufacturing Technology Management 28 (7), 867-891, 2017
Multivariate normal boundary intersection based on rotated factor scores: a multiobjective optimization method for methyl orange treatment
FL Naves, TI de Paula, PP Balestrassi, WLM Braga, RS Sawhney, ...
Journal of Cleaner Production 143, 413-439, 2017
A methodology for evaluation and selection of nanoparticle manufacturing processes based on sustainability metrics
S Naidu, R Sawhney, X Li
Environmental science & technology 42 (17), 6697-6702, 2008
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