Bimal P. Nepal, Ph.D.

Affiliations: 
2005 Wayne State University, Detroit, MI, United States 
Area:
Industrial Engineering
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"Bimal Nepal"

Parents

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Leslie Monplaisir grad student 2005 Wayne State
 (An integrated framework for modular product architecture.)
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Publications

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Chauhan AS, Nepal B, Soni G, et al. (2020) Taxonomy of New Product Development Process Risks: An Empirical Study of Indian Automotive Industry Ieee Transactions On Engineering Management. 1-12
Limon S, Nepal B, Yadav OP. (2020) Reliability estimation considering multi-stress monotonic degradation test data with non-constant scale parameter Quality Engineering. 32: 478-491
Chauhan AS, Nepal B, Soni G, et al. (2018) Examining the State of Risk Management Research in New Product Development Process Engineering Management Journal. 30: 85-97
Afrin K, Nepal BP, Monplaisir L. (2018) A data-driven framework to new product demand prediction: Integrating product differentiation and transfer learning approach Expert Systems With Applications. 108: 246-257
Jennings DF, Narayanan A, Nepal B, et al. (2017) On value activities and competitive advantage: an empirical study International Journal of Business Excellence. 11: 320-343
Panwar A, Nepal B, Jain R, et al. (2017) Understanding the linkages between lean practices and performance improvements in Indian process industries Industrial Management and Data Systems. 117: 346-364
Yadav OP, Nepal BP, Rahaman M, et al. (2017) Lean Implementation and Organizational Transformation: A Literature Review Engineering Management Journal. 29: 2-16
Panwar A, Jain R, Rathore APS, et al. (2017) The impact of lean practices on operational performance – an empirical investigation of Indian process industries Production Planning & Control. 29: 158-169
Limon S, Yadav OP, Nepal B, et al. (2015) Enabling comprehensive failure analysis of complex physical system using cognitive map-based approach International Journal of Quality Engineering and Technology. 5: 114-144
Panwar A, Nepal BP, Jain R, et al. (2015) On the adoption of lean manufacturing principles in process industries Production Planning and Control. 26: 564-587
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