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.
PurposeThe aim of the study is to develop a TQM model of academic excellence and empirically establish a relationship between TQM implementation and students' satisfaction of academic performance.Design/methodology/approachA sample of students from ISO and non‐ISO engineering institutions from South India has been taken for the study. Statistical measures like mean, t‐test, correlation and regression analysis were used.FindingsThe results reflect that ISO 9001:2000 engineering institutions are moving towards the path of TQM offering better quality of educational service than the non‐ISO institutions. A relationship between the five TQM constructs and students' satisfaction of academic performance has also been established.Research limitations/implicationsThis study has been conducted in higher engineering education from the students' perspective only. The study is limited to the privately funded engineering institutions. Research relating to other types of institutions namely the government institutions and the deemed universities can be taken up in future.Practical implicationsThe academic excellence model developed in this paper can be effectively implemented in the higher educational institutions to enhance the quality of education and students' satisfaction.Originality/value5C TQM excellence model is unique. Suggestions to educational authorities interested in improving the quality of education are valuable.
Purpose The purpose of this paper is to review the existing literature on the critical success factors (CSFs) of various continuous improvement (CI) like total quality management (TQM), Lean, Six Sigma and Lean Six Sigma (LSS), and perform a content analysis (CA) leading to an agenda for future research. Design/methodology/approach CA is based on literature review of 41 papers published in peer-reviewed scholarly journals. A four-stage methodology is used by the authors, with Stage 1 featuring relevant material collection; Stage 2 presenting a descriptive analysis; Stage 3 outlining the category selection; and Stage 4 featuring the material evaluation using clustering and Pareto analysis. Findings The CA revealed various research implications and directions for the future. The number of studies in the literature regarding CSF assessment is found to be far from substantial while compared to CI implementation. Assessment methodologies developed have been ranging from qualitative to quantitative models. Key gaps were identified and directions for CSF assessment are proposed which requires further validation. Research limitations/implications Only articles that appeared in peer-reviewed journals were analyzed; conference papers, reports, manuals and white papers from practice were excluded. Another limitation of the paper would be the scope of CA limited to four CI constructs – TQM, Lean, Six Sigma and LSS. Research implications indicate that the future studies in this domain would be intensive toward analyzing the vital CSFs for enterprise organizational excellence and not merely process excellence. Practical implications This review study can serve as a resource for both researchers and practitioners to understand the importance of CSFs and positioning CSFs for the successful implementation of CI programs. Originality/value The CA on the existing literature on CSFs for CI presents a unique, systematic effort to identify an agenda for future research. This study is the apparently the first of its kind on CSF assessment.
Purpose Many organizations have reported significant benefits after the implementation of Lean Six Sigma (LSS). Embracing LSS requires asking some important questions: How Lean Six Sigma Readiness (LESIRE) can be measured? How can an organization identify the barriers for LESIRE? Answers to these questions are critical to both academicians and practitioners. The paper aims to discuss this issue. Design/methodology/approach This study illustrates the development process of a Lean Six Sigma Readiness (LESIRE) evaluation model to assess an organization’s readiness for LSS deployment using the fuzzy approach. The model was developed from 4 enablers, 16 criteria and 46 attributes of LSS, identified through a literature review. Findings To demonstrate the efficiency of the model, this study testing the LESIRE evaluation model in three Indian SMEs. Using experts’ ratings and weight, the researchers calculated the Fuzzy Lean Six Sigma index (FLSS) which indicates the LESIRE level of an organization and the Fuzzy Performance Importance Index (FPII) that helps to identify the barriers for LESIRE. Research limitations/implications The main limitations of this study are that it did not consider the failure factors of LSS for model development and the LESIRE was only tested in manufacturing industries. Thus, future researchers could focus on developing a model with failure factors. The results obtained from the SMEs show that LESIRE is capable of assessing LESIRE in an industrial scenario and helps practitioners to measure LESIRE for the future decision making process. Practical implications The LESIRE model is easy to understand and use without much computation complexity. This simplicity makes the LESIRE evaluation model unique from other LSS models. Further, LESIRE was tested in three different SMEs, and it aided them to identify and improve their weak areas, thereby readying them for LSS deployment. Originality/value The main contribution of this study it proposes a LESIRE model that evaluates the organization for FLSS and FPII for LESIRE, which is essential for the organization embarking on an LSS journey. Further, it improves the readiness of the organization that is already practicing LSS.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.