Search results

1 – 6 of 6
To view the access options for this content please click here
Article
Publication date: 17 February 2021

Shruti J. Raval, Ravi Kant and Ravi Shankar

Lean Six Sigma (LSS) is receiving a tremendous attention as a modern process of streaming to improve the organizational ability and customer satisfaction. A successful LSS…

Abstract

Purpose

Lean Six Sigma (LSS) is receiving a tremendous attention as a modern process of streaming to improve the organizational ability and customer satisfaction. A successful LSS implementation is influenced by various factors and the execution of all the influencing factors simultaneously is a very difficult task for any organization. From the perspective of limitation of resources, this paper aims to present a basic issue in an LSS implementation of clustering complex and impacting factors into groups to achieve them in a stepwise manner. This paper aims to present a fundamental issue of clustering the complex and impacting factors of an LSS implementation into groups to achieve them stepwise.

Design/methodology/approach

A total of 40 relevant influencing factors toward an LSS implementation have been identified from the extensive literature review and duly validated with experts’ opinions. Integrated fuzzy set theory and decision-making trial and evaluation laboratory (DEMATEL) approach are demonstrated to explore the causal relationships among influencing factors of the LSS implementation. An empirical case analysis of an Indian manufacturing organization is carried out to illustrate the utilization of the proposed model.

Findings

The proposed framework effectively finds out the significance of each influencing factor of an LSS implementation and clustered into cause–effect groups. As per the results of the empirical case analysis, ten critical success factors (CSFs) of the LSS implementation are evaluated for the successful LSS implementation. Top management pays more attention to achieve them and implement them in a phase-wise approach under the limitations of accessible resources.

Research limitations/implications

The presented framework provides an effective, precise and systematic decision support tool for recognizing CSFs of the LSS implementation. The organization, decision-makers, industrial practitioners and academic researchers may be able to comprehend the cause–effect relationship of the influencing factors of the LSS implementation. The exploratory nature and the single case study are two major limitations of this analysis. The developed model is heavily dependent on the experts’ opinions; hence, any bias in judgment will influence the final result.

Originality/value

This analysis is the first of its kind of effort, according to the best of the authors’ knowledge, to classify the influencing factors of LSS implementation into the cause–effect cluster. The outcomes of this analysis make the complexity of a problem easier in handling and assisting the decision-making.

Details

Journal of Modelling in Management, vol. 16 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

To view the access options for this content please click here
Article
Publication date: 6 July 2020

Shruti J. Raval, Ravi Kant and Ravi Shankar

The aim of this analysis is to review the Indian manufacturing organizations practicing Lean Six Sigma (LSS) tools/techniques with an objective of monitoring the…

Abstract

Purpose

The aim of this analysis is to review the Indian manufacturing organizations practicing Lean Six Sigma (LSS) tools/techniques with an objective of monitoring the performance of an organization and to develop recommendation for strategies to benchmark organizational operational efficiency.

Design/methodology/approach

This study offers insights of the LSS performance measurement aspects of the Indian manufacturing organizations based on Data envelopment analysis (DEA) approach. The five inputs and two outputs are considered on the basis of literature review and discussed with the practitioners.

Findings

In this analysis, the relative efficiency score of 18 Indian manufacturing organizations has been determined in order to assist evaluation of the impact of monetary investment on the outputs. The present analysis not only investigates the optimum level of input variables but also lays down a significant observation that an organization having higher profit and inventory turnover ratio is not necessarily an efficient organization.

Practical implications

The results assist to determine the best practice units, potential source of inefficiency and deliver beneficial data for the consistent enhancement of the operational efficiency. The DEA results assist managers and decision makers to derive appropriate strategies to enhance their performance with reference to the efficient organization and to regard it as their role model.

Originality/value

This analysis renders a DEA based framework of LSS practicing Indian manufacturing organizations. The framework is unique in terms of its input-outputs variable selection and measurement procedure.

Details

Benchmarking: An International Journal, vol. 27 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

To view the access options for this content please click here
Article
Publication date: 20 June 2019

Shruti J. Raval, Ravi Kant and Ravi Shankar

The purpose of this paper is to develop the balance score card (BSC) approach based Lean Six Sigma (LSS) performance measurement system and investigate the critical…

Abstract

Purpose

The purpose of this paper is to develop the balance score card (BSC) approach based Lean Six Sigma (LSS) performance measurement system and investigate the critical measures currently practiced by Indian manufacturing organizations.

Design/methodology/approach

This study offers insights of LSS performance measurement from manufacturing industry. Initially, the BSC-based framework is developed to recognize the adoption of LSS performance measures. Then, the framework is applied to nine Indian manufacturing organizations to assess the LSS performance measure practice.

Findings

The BSC-based framework of LSS performance evaluation for manufacturing industry is formulated. Then, adoption of these LSS performance measures is investigated with nine Indian manufacturing organizations. The result indicates significant variability in terms of practicing level of LSS measures. However, the majority of organizations are more sensitive to the customer perspectives.

Practical implications

This study reveals a background as to why the performance measurement is required for the success of LSS and for providing practical guidelines for designing performance metrics. The framework interrelates and captures various LSS perspectives and indicator measures, and furnishes a comprehensive outlook of the organization for strategic analysis. This study provides BSC-based template for performing the benchmarking study. This analysis may serve as a reference point for manufacturing organization to determine their system weaknesses, and assist them to concentrate on their most vital and suitable criteria and objectives. However, the analysis contributes to the knowledge on LSS performance measurement system and catches differences in theory and practice, paving the approach to newer research.

Originality/value

This study renders an industry-oriented LSS performance measurement practical approach and suggests the easily adopted vital performance measures for different manufacturing organizations.

Details

Benchmarking: An International Journal, vol. 26 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

To view the access options for this content please click here
Article
Publication date: 6 July 2018

Shruti J. Raval, Ravi Kant and Ravi Shankar

The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying…

Abstract

Purpose

The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying the research gap. The state of LSS research is assessed by critically examining the field, along with a number of dimensions, including time horizon, year, journal and publisher, university, country, author, geographic analysis, research design, research affairs, research methods, tools/techniques used, focus industries, major research area, benefits gained by LSS, critical success factors and barriers of LSS implementation.

Design/methodology/approach

This paper is based on a systematic literature review of 190 articles containing the word LSS in their title, which are published in a well-known database, such as Elsevier ScienceDirect, Taylor and Francis, Emerald Full Text, Springer Link, Wiley InterScience and Inderscience from January 2000 to September 2016.

Findings

This analysis reveals 15 significant dimensions to identify the state of LSS research. Authors find a noticeable rise in the attention of LSS research in the available literature. Major findings show that, the empirical research holds greater credibility. Statistics prove that the case study method scores the highest among all the research methods used in the discipline. The largest number of studies have investigated research issues related to implementation and process of LSS. The LSS uses a wide range of tools/techniques/methodologies: the choice of tools is situation-specific. Manufacturing and health-care sectors have been the focus of LSS research, but LSS has also been adopted by other types of industries. The organizations following LSS have improved bottom-line results, improved company profitability and growth and enhanced customer satisfaction. In general the research is more interpretive in nature; there is still a lack of standard in the LSS implementation framework.

Research limitations/implications

This study is limited to reviewing those articles which contain the word LSS appeared in the title.

Originality/value

This study will help understand the current state of research on LSS, various trends in the field, its applicability and future prospects of investigation in the field.

Details

International Journal of Lean Six Sigma, vol. 9 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

To view the access options for this content please click here
Article
Publication date: 7 August 2017

Shruti J. Raval and Ravi Kant

The literature in the field of Lean Six Sigma (LSS) is escalating with frameworks, but, till date, no effort has been made in existing literature to critically reviewing…

Abstract

Purpose

The literature in the field of Lean Six Sigma (LSS) is escalating with frameworks, but, till date, no effort has been made in existing literature to critically reviewing LSS frameworks. The aim of this paper is to investigate the literature about Lean, Six Sigma and LSS frameworks and critically reviewing the existing literature over numerous parameters.

Design/methodology/approach

This study focuses on a literature review of Lean, Six Sigma and LSS frameworks. The time span of this analysis is 30 years. The analysis is restricted to searching online databases such as Elsevier Science direct, Taylor and Francis, Emerald, Springer link, Wiley Inter-Science and Inder-Science. A total number of 58 frameworks have been used as sample size for this study. The study focuses on reviewing these 58 frameworks based on measures such as the novelty of frameworks, source of frameworks, framework verification, approach of verification and identification of vital elements/tools/constructs of frameworks and lastly comparative analysis of all these 58 frameworks

Findings

The analysis has identified major discrepancy such as laxity of researcher toward utilizing existing frameworks, lack of participation of practitioners and consultants in the development of LSS frameworks, and the elements/constructs used in structuring the frameworks are highly incoherent. Higher proportions of frameworks are verified through various modes of verification such as survey, case study, simulation, which encourages other researchers for applicability of the frameworks. Case study is found most popular research design method for verification of frameworks. Various frameworks are highly abstract or superficial. Some of the frameworks do not show how each construct/element are related to implementation in the organization. Out of 58 frameworks, the only single framework is highly comprehensive. A coherent framework for LSS is still lacking.

Research limitations/implications

This analysis is limited to peer review articles from Elsevier Science direct, Taylor and Francis, Emerald, Springer link, Wiley Inter-Science and Inder-Science databases and contains the search keywords in title only.

Originality/value

This study is first of its kind attempt, making an effort to the knowledge of the authors to critically review Lean, Six Sigma and LSS frameworks. This analysis will assist to recognize the LSS filed trends and framework applicability.

Details

International Journal of Lean Six Sigma, vol. 8 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

To view the access options for this content please click here
Article
Publication date: 30 September 2019

Marlene Ferreira Brito, Ana Luísa Ramos, Paula Carneiro and Maria Antónia Gonçalves

The purpose of this paper is to present an attempt to develop an instrument containing operational measures of lean combined with safety and ergonomic conditions in a…

Abstract

Purpose

The purpose of this paper is to present an attempt to develop an instrument containing operational measures of lean combined with safety and ergonomic conditions in a workstation or production line. This operational tool aims to help researchers and practitioners to prioritize and evaluate the lean implementations, as well as the ergonomic and safety conditions, in an integrated way.

Design/methodology/approach

Lean manufacturing methods and principles, as well as safety and ergonomics aspects, were exhaustively researched with the ultimate goal of finding a way to improve the workplace by taking into account the efficiency and well-being of workers. The instrument was validated in an interactive process between theory and practical insights. At the end, it was tested in several workstations/production areas.

Findings

The study reveals that high scores are derived from a good interaction between lean, ergonomics and safety.

Research limitations/implications

It would be important to validate it in different companies and different types of industries because each one has its own characteristics.

Practical implications

This tool helps practitioners (technicians and ergonomic practitioners from manufacturing companies) assess the implementation of lean principles and the safety issues in their processes. It also allows managers to evaluate their business and identify the priority areas to improve according to the previously defined company’s aims.

Originality/value

As Peter Drucker said: “If you can’t measure it, you can’t improve it.” For a successful implementation, managers should start the lean journey with a lean assessment and make it in a regular basis. To the authors’ knowledge, there are various lean assessment tools, but this work is innovative because it provides an assessment instrument to evaluate organizations’ workstations/production areas simultaneously in three dimensions: lean, safety and ergonomic aspects.

Details

International Journal of Lean Six Sigma, vol. 11 no. 5
Type: Research Article
ISSN: 2040-4166

Keywords

1 – 6 of 6