Qualification: 
Ph.D, M.E, BE
v_rajasreedharan@asb.kochi.amrita.edu

Dr. Raja Sreedharan V. is an Assistant Professor (Sr. Gr.) at the Department of Management Studies, Amrita Vishwa Vidyapeetham, Kochi. He has undertaken doctoral research at the Department of Industrial Engineering, College of Engineering Guindy, Anna University and his Ph.D. focused on “A Study and Analysis of Lean Six Sigma practices in Indian manufacturing industries”. He has garnered corporate exposure working with multi speciaity Hospital as external auditor for 5S implementation. He has attended many international conferences and has published many articles on Lean Six Sigma, MCDM approach, and structural equation modelling in peer reviewed journals like Production Planning and Control, International Journal of Quality and Reiliability Management, Benchmarking, International Journal of Lean Six Sigma, TQM, TQM&BE etc. His current research interests are centred in the field of Lean Six Sigma for services, Circular economy, Industry 4.0 and Blockchain. He serves as an active consultant to the public and private sectors.

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2018

Journal Article

Raja Sreedharan V., R, R., R, R., and M, N., “An Empirical Assessment of Lean Six Sigma Awareness in Manufacturing Industries: Construct Development and Validation”, Total Quality Management & Business Excellence, vol. 29, pp. 686 - 703, 2018.[Abstract]


Lean Six Sigma (LSS) is one of the managerial practices for organisations to achieve operational excellence. But, prior research suggests that many companies have failed in the LSS Implementation (IMP) due to lack of Lean Six Sigma Awareness (LSSA). In this study, we assess LSSA in the manufacturing industries in India. Through extant literature review, we have identified and developed four new constructs for LSSA comprising the Impact of LSS (IM), Acceptance towards LSS (ACC), top management commitment (TMC) and IMP using the three-stage technique proposed by Churchill [(1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73]. Using these constructs, an online survey was conducted in manufacturing industries yielding a response rate of 65.4%. The survey results evaluated reliability, convergent validity and discriminant validity of the constructs and were found to be satisfactory. To test the model fit and hypotheses between the LSSA constructs, we used structural equation modelling (SEM). The SEM result shows that there is strong evidence to support the hypothesised model where IM has positive influences on TMC. Whereas ACC has a positive influence on both TMC and IMP, and TMC has positive influences on IMP. Based on the SEM results, it is clear that LSSA is essential for successful IMP across different manufacturing industries in India.

More »»

2018

Journal Article

Raja Sreedharan V. and S., S. Srinivas, “Failure Analysis Of Automobile Spares In A Manufacturing Supply Chain Distribution Centre Using Six Sigma DMAIC Framework”, International Journal of Services and Operations Management, vol. 29, pp. 359-372, 2018.[Abstract]


The spares distribution centre is an important member of a manufacturing supply chain where the automobile components are packaged and distributed to customers and retail units. Though the components do not undergo processing in a spare parts centre, various other operations are performed during distribution that contributes to component failures. The Six Sigma DMAIC framework is used for the analysis of the failures effectively. The different causes of rejections are generated using the cause and effect diagram and each of these causes are validated with the help of experiments and other tools. The root cause of this problem arising in the distribution centre is identified to be the packing method. An economic solution to the existing cause of the problem is implemented with minor variations in the current packing method and the results are discussed. A structured follow up plan for continuous improvement is also suggested.

More »»

2018

Journal Article

Raja Sreedharan V. and Sunder, M. V., “A Novel Approach to Lean Six Sigma Project Management –a Conceptual Framework and Empirical Application”, Production Planning and Control (Accepted), 2018.

2018

Journal Article

Raja Sreedharan V., S., G. Nair., and J, A., “Assessment of Critical Failure Factors (CSFs) of Lean Six Sigma in real life scenario: Evidence from Manufacturing and Service Industries”, Benchmarking: An international Journal (Accepted), 2018.

2018

Journal Article

Raja Sreedharan V. and Gopikumar, N. S., “Business Model and Financial Performance: Evidence from Indian Banking Industry”, Int. J. Management Concepts and Philosophy (Accepted) , 2018.

2018

Journal Article

Raja Sreedharan V., B, A., V, M., and P, A., “Synergizing Lean Six Sigma with Human Resource Practices: Evidence from Literature Arena”, Total Quality Management & Business Excellence (Accepted) , 2018.

2018

Journal Article

Raja Sreedharan V., V, K., and P, A., “Supply Chain Risk Assessment in Pharmaceutical Industries: An Empirical Approach”, International Journal of Business Innovation and Research (Accepted)., 2018.

2018

Journal Article

Raja Sreedharan V., Raju, R., Sunder, M. V., and J, A., “Assessment of Lean Six Sigma Readiness (LESIRE) for Manufacturing Industries using Fuzzy Logic”, International Journal of quality and reliability Management (Accepted)., 2018.

2018

Journal Article

Raja Sreedharan V., Sandhya G., and Raju, R., “Development of a Green Lean Six Sigma Model for the Public Sectors”, International Journal of Lean Six Sigma., vol. 9, no. 2, 2018.[Abstract]


Purpose The purpose of this paper is to improve the operational excellence of public sector services such as construction, telecommunication and health care. To achieve this endeavor, the study explores the structural attributes and obstacles in the public services and develops a Green Lean Six Sigma (GLSS) model for the public sector. Design/methodology/approach The study involved two stages: first, structured literature reviews; second, a focus group study involving Black Belts and supply chain practitioners. Using the results from the literature reviews and focus group study, the researchers have developed a Green Lean Six Sigma (GLSS) model for the public sectors. Findings Black belts and supply chain practitioners have identified the success in deploying Lean Six Sigma with green supply chain management. This leads to eradicating the obstacles faced by the public sector, leading to process improvement. Practical implications This study proposed an approach for developing a GLSS model for the public services, which can be applicable for other public service organizations. Originality/value The current paper presents a predictive model for process improvement in the public sector by integrating green supply chain management with Lean Six Sigma. More »»

2018

Journal Article

Raja Sreedharan V., V, S. M., and Raju, R., “Critical Success Factors of TQM, Six Sigma, Lean and Lean Six Sigma: a Literature Review and Key Findings”, Benchmarking: An international Journal (Accepted)., 2018.

2018

Journal Article

Raja Sreedharan V., R, T., M., D., and P, A., “ Lean Six Sigma Implementation in an OEM: A Case Based Approach”, International Journal of Process Management and Benchmarking (Accepted)., 2018.

2018

Journal Article

G. Rejikumar, A. Asokan, A., and Raja Sreedharan V., “Impact of Data - Driven Decision Making in Lean Six Sigma : An Empirical Analysis”, Total Quality Management & Business Excellence, pp. 1-18, 2018.[Abstract]


Data-driven decision-making refers to the approaches business firms, and managers are adopting in decision-making on the strength of verifiable data. This study attempted to evaluate the Technology Acceptance Model (TAM) in a Lean Six Sigma (LSS) organisation. The research model developed included external variables that capture perceptions of managers on knowledge management, data quality, technology readiness and performance expectancy. The study examined the moderating role of complexity perceptions of managers. And, data were collected from 173 practising managers in Indian industries. A PLS-based structural equation modelling was carried out. The model revealed the critical linkages among the constructs to draw valid insights about manager’s perceptions in an LSS environment. The study found out that antecedents significantly predict usefulness and ease of using feeling among managers, resulting in adoption intentions. The complexity perceptions act as a significant moderator to adoption intentions in the framework. This study underlines the need for an adequate infrastructure capable of collecting and disseminating reliable data among decision-makers for imparting confidence among managers to adopt data-driven approaches. The main contribution of the study is that the managers hold a favourable view towards new technology adoption and prefers the ease of use for better decision-making

More »»

2017

Journal Article

Raja Sreedharan V., R., R., and S., S. Srinivas, “A review of the quality evolution in various organisations”, Total Quality Management & Business Excellence, vol. 28, no. 3-4, pp. 351-365, 2017.[Abstract]


As the world moves forward, quality has evolved drastically to meet the growing demands in various organisations. As a result, various quality management procedures have been implemented in varied kinds of organisations. A review of the quality principles such as Total Quality Management, Lean, Six Sigma and Lean Six Sigma is discussed in order to provide an understanding for implementing quality principles in different organisations, which includes manufacturing, service, healthcare, government, non-profit organisations, transportation and logistics, process industry, etc. With the introduction of quality techniques, the effectiveness of organisations has improved. And these techniques are generic in nature and can improve the efficiency of any organisation. But, the implementation policies in different organisations vary with the type of organisation. The consideration of different organisations provides useful guidelines for the application of these methods in unexplored sectors. Moreover, a brief summary of the key takeaways and extensions for each of these applications in different types of organisations is also presented. The effect of different quality procedures on people and the consideration of environmental concept are proposed to be an area of future research to improve the implementation effectiveness of the quality procedures in the existing areas.

More »»

2016

Journal Article

Raja Sreedharan V. and R., R., “A Systematic Literature Review of Lean Six Sigma in Different Industries”, International Journal of Lean Six Sigma, vol. 7, pp. 430-466, 2016.[Abstract]


Purpose: The purpose of this paper is to review Lean Six Sigma (LSS) literature and report different definitions, demographics, methodologies and industries. Design/methodology/approach: This paper highlights various definitions by different researchers and practitioners. A total of 235 research papers has been reviewed for the LSS theme, research methodology adopted, type of industry, author profile, country of research and year of publication. Findings: From the review, four significant LSS classifications were identified that deal with the spread of LSS in different industries followed by observation for classification. Practical implications: LSS is a strategy for success, but it did not examine its presence in various Industries. From this paper, readers can understand the quantum of its spread before implementing LSS. For academicians, it will be a comprehensive list of papers for research. Originality/value: This paper reviews 235 research papers for their year, author profile, research methodology and type of industry. Various characteristics of LSS definitions and their theme are also reviewed. © 2016, © Emerald Group Publishing Limited.

More »»

Working Papers

  • Sreedharan.V. R, Antony J., Meta-analysis of Lean performance in Healthcare, Journal of Operations Management.
  • Sreedharan.V. R, Muruagan P., Impact of Machine Learning in Healthcare Management: A Smart Service perspective, Manufacturing Service operations Management.
207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS