关注
Dr. A. P. S. Rathore
Dr. A. P. S. Rathore
Professor, Mechanical Engineering Department, MNIT Jaipur
在 mnit.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice
AA Wagire, R Joshi, APS Rathore, R Jain
Production Planning & Control 32 (8), 603-622, 2021
2452021
On the adoption of lean manufacturing principles in process industries
A Panwar, BP Nepal, R Jain, APS Rathore
Production Planning & Control 26 (7), 564-587, 2015
1892015
The impact of lean practices on operational performance–an empirical investigation of Indian process industries
A Panwar, R Jain, APS Rathore, B Nepal, AC Lyons
Production Planning & Control 29 (2), 158-169, 2018
1802018
Risk analysis and mitigation for perishable food supply chain: a case of dairy industry
S Prakash, G Soni, APS Rathore, S Singh
Benchmarking: An International Journal 24 (1), 2-23, 2017
1672017
Lean implementation in Indian process industries–some empirical evidence
A Panwar, R Jain, APS Rathore
Journal of Manufacturing Technology Management 26 (1), 131-160, 2015
1362015
On supply chain competitiveness of Indian automotive component manufacturing industry
D Joshi, B Nepal, APS Rathore, D Sharma
International Journal of Production Economics 143 (1), 151-161, 2013
1302013
A critical analysis of supply chain risk management content: a structured literature review
S Prakash, G Soni, APS Rathore
Journal of Advances in Management Research 14 (1), 69-90, 2017
1262017
Reliability‐based robust design optimization: A multi‐objective framework using hybrid quality loss function
OP Yadav, SS Bhamare, A Rathore
Quality and Reliability Engineering International 26 (1), 27-41, 2010
1022010
Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach
S Prakash, S Kumar, G Soni, V Jain, APS Rathore
Annals of operations research 290, 837-864, 2020
972020
Analysis and synthesis of Industry 4.0 research landscape: Using latent semantic analysis approach
AA Wagire, APS Rathore, R Jain
Journal of Manufacturing Technology Management 31 (1), 31-51, 2020
942020
Probabilistic modeling of fatigue damage accumulation for reliability prediction
V Rathod, OP Yadav, A Rathore, R Jain
Journal of Quality and Reliability Engineering 2011, 2011
862011
Understanding the linkages between lean practices and performance improvements in Indian process industries
A Panwar, B Nepal, R Jain, APS Rathore, A Lyons
Industrial Management & Data Systems 117 (2), 346-364, 2017
652017
Research and opportunities in supply chain modeling: a review
CM Badole, R Jain, APS Rathore, B Nepal
International journal of supply chain management 1 (3), 63-86, 2012
612012
Evolution of reliability engineering discipline over the last six decades: a comprehensive review
SS Bhamare, OP Yadav, A Rathore
International Journal of Reliability and Safety 1 (4), 377-410, 2007
532007
Optimizing reliability-based robust design model using multi-objective genetic algorithm
V Rathod, OP Yadav, A Rathore, R Jain
Computers & Industrial Engineering 66 (2), 301-310, 2013
502013
Concept convergence process: A framework for improving product concepts
M Augustine, OP Yadav, R Jain, APS Rathore
Computers & Industrial Engineering 59 (3), 367-377, 2010
462010
The propagation of benchmarking concepts in Indian manufacturing industry
R Jain, OP Yadav, A Pal Singh Rathore
Benchmarking: An International Journal 15 (1), 101-117, 2008
442008
Barriers to blockchain adoption for supply chain finance: the case of Indian SMEs
J Kaur, S Kumar, BE Narkhede, M Dabić, APS Rathore, R Joshi
Electronic Commerce Research 24 (1), 303-340, 2024
422024
A literature review on network reliability analysis and its engineering applications
V Gaur, OP Yadav, G Soni, APS Rathore
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2021
402021
Cognitive map-based system modeling for identifying interaction failure modes
M Augustine, OP Yadav, R Jain, A Rathore
Research in Engineering Design 23, 105-124, 2012
402012
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