V. Raja Sreedharan

Orcid: 0000-0003-3601-8002

According to our database1, V. Raja Sreedharan authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Role of Organizational Learning on Industry 4.0 Awareness and Adoption for Business Performance Improvement.
IEEE Trans. Engineering Management, 2024

Testing the S-Curve Theory in OEM for Lean Operations: A Study on Organizational Transformation in the VUCA World.
IEEE Trans. Engineering Management, 2024

Strategizing a Logistics Framework for Organizational Transformation: A Technological Perspective.
IEEE Trans. Engineering Management, 2024

2023
Berth and quay crane allocation and scheduling problem with renewable energy uncertainty: A robust exact decomposition.
Comput. Oper. Res., August, 2023

A Novel Proactive-Reactive Scheduling Approach for the Quay Crane Scheduling Problem: A VUCA Perspective.
IEEE Trans. Engineering Management, July, 2023

Developing a hybrid evaluation approach for the low carbon performance on sustainable manufacturing environment.
Ann. Oper. Res., May, 2023

Modeling and Analyzing the Inventory Level for Demand Uncertainty in the VUCA World: Evidence From Biomedical Manufacturer.
IEEE Trans. Engineering Management, 2023

Decision Making in Health Care Diagnosis: Evidence From Parkinson's Disease Via Hybrid Machine Learning.
IEEE Trans. Engineering Management, 2023

Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics.
IEEE Trans. Engineering Management, 2023

2022
Developing a Hybrid Approach for Lean Six Sigma Project Management: A Case Application in the Reamer Manufacturing Industry.
IEEE Trans. Engineering Management, 2022

Design and development of automobile assembly model using federated artificial intelligence with smart contract.
Int. J. Prod. Res., 2022

Modelling and analysis of artificial intelligence for commercial vehicle assembly process in VUCA world: a case study.
Int. J. Prod. Res., 2022

2021
Developing a blockchain framework for the automotive supply chain: A systematic review.
Comput. Ind. Eng., 2021


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