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Rakesh L. Shrivastava

Researcher at Yeshwantrao Chavan College of Engineering

Publications -  27
Citations -  739

Rakesh L. Shrivastava is an academic researcher from Yeshwantrao Chavan College of Engineering. The author has contributed to research in topics: Critical success factor & Total quality management. The author has an hindex of 11, co-authored 26 publications receiving 552 citations.

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Critical success factors for Lean Six Sigma in SMEs (small and medium enterprises)

TL;DR: In this paper, the authors identify and list critical success factors of Lean Six Sigma (LSS) framework affecting and influencing quality, operational and financial performance of small and medium enterprises (SMEs).
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Impact of green manufacturing practices on organisational performance in Indian context: An empirical study

TL;DR: In this paper, the authors present an empirical assessment and guides about measuring impact of GM practices on organisational performance in Indian context and develop a model linking both critical factors and performance measures.
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Green manufacturing drivers and their relationships for small and medium(SME) and large industries

TL;DR: In this paper, the authors used interpretive structural modeling (ISM) approach to compare GM and its drivers for SME and large manufacturing industries, and compared GM models for both based on the identified GM drivers.
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Total quality management: literature review and an agenda for future research

TL;DR: In this article, the status of literature on total quality management (TQM) is reviewed, and the literature classification is done according to content and process issues of the article.
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An innovative approach to evaluate green supply chain management (gscm) drivers by using interpretive structural modeling (ism)

TL;DR: In this paper, the authors developed a relationship among the identified green supply chain drivers, including management commitments, regulatory pressure, and end-of-life management, and used interpretive structural modeling (ISM) to classify these drivers according to their driving and dependency on power.