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Article
Publication date: 15 March 2022

Vikas Swarnakar, Anthony Bagherian and A.R. Singh

Recent years have seen an increased demand for healthcare services, presenting a need to improve service quality through the deployment of sustainable Lean Six Sigma…

Abstract

Purpose

Recent years have seen an increased demand for healthcare services, presenting a need to improve service quality through the deployment of sustainable Lean Six Sigma (LSS). This study aims to identify critical success factors (CSFs) of sustainable LSS and prioritize them based on their intensity of importance for the effective implementation of sustainable LSS in the healthcare environment.

Design/methodology/approach

The present study identified 33 leading CSFs through a comprehensive literature review and expert experience and classified them into six major categories based on organizational functions. The primacy of these CSFs is established using the best-worst-method (BWM) approach. The significant advantage of this approach is that the decision-maker identifies both the best and worst criteria among alternatives prior to pairwise comparisons, leading to fewer pairwise comparisons and saving time, energy and resources. It also provides more reliable and consistent rankings.

Findings

The findings of the present study highlight the economic and managerial (E&M) CSFs as the most significant CSFs among the major category criteria of sustainable LSS-CSFs, followed by organizational (O), knowledge and learning (K&L), technological (T), social and environmental (S&E), and external factors (EF). Similarly, management involvement and leadership to implement sustainable LSS (E&M1), structured LSS deployment training and education (K&L2), and availability of required resources and their efficient utilization (O2) are ranked as the topmost CSFs among sub-category criteria of sustainable LSS-CSFs.

Practical implications

The prioritization of sustainable LSS-CSFs determined in this study can provide healthcare managers, researchers and decision-makers with a better understanding of the influence on effective deployment of sustainable LSS, resulting in improved service quality in hospitals.

Originality/value

This paper is an original contribution to the analysis of CSFs in an Indian healthcare institute, utilizing the BMW method for ranking the sustainable LSS-CSFs. The advantage of utilizing and distinguishing the performance of this approach compared to other MCDA approaches in terms of (1) least pairwise comparison and violation, (2) consistency (3) slightest deviation and (4) conformity.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 9 October 2020

Vikas Swarnakar, A.R. Singh and Anil Kr Tiwari

The purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable…

Abstract

Purpose

The purpose of this study is to develop a structured hierarchical interrelationship-based model to evaluate the critical failure factors (CFFs) that affect the sustainable Lean Six Sigma (SLSS) framework implementation in a healthcare organization. Further, solution approaches have been provided that guide to eliminate them.

Design/methodology/approach

The CFFs has been identified through empirical study and clustered into six major categories for their better understanding. The interrelation among CFFs has been developed through total interpretive structural modeling (TISM) and classifies the nature using MICMAC technique. Further, prioritized the CFFs based on its driving and dependents power. The methodology enabled the decision-makers, practitioners to systematically analyze the CFFs and develop a structural model for implementing SLSS in the healthcare environment.

Findings

A total of 14 leading CFFs have been identified, and 7-level structured interrelationship-based model has been formed. The experts have provided the solution approach after careful analysis of the developed model. Based on the analysis, it was observed that the significant CFFs affect the deployment of the SLSS framework in healthcare organizations.

Research limitations/implications

The structured model and methodological approach have been tested in a healthcare organization. In the future, the approach can be applied in the different service sectors.

Practical implications

The present study has been conducted in a real-time industrial problem. The practitioners, decision-makers and academicians expressed the usefulness of methodology for understanding the CFFs interrelation and their effect on SLSS implementation. This study also guides decision-makers to systematically tackle related problems.

Originality/value

The development of a structured CFFs based model for SLSS framework implementation using the integrated TISM-MICMAC with a detailed solution approach is a unique effort in a healthcare environment.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 19 July 2021

Vikas Swarnakar, Anthony Bagherian and A.R. Singh

The objective of this paper is to investigate, assess and develop a hierarchical model to evaluate the interrelationship of critical success factors (CSFs) that influence…

Abstract

Purpose

The objective of this paper is to investigate, assess and develop a hierarchical model to evaluate the interrelationship of critical success factors (CSFs) that influence the deployment of Sustainable LSS framework in hospitals. Further, developed model has been validated to investigate its applicability in hospitals towards sustainable LSS implementation.

Design/methodology/approach

“Interpretive Structural Modeling” (ISM) has been utilized to develop a convenient hierarchy and contextual relationship of key CSFs throughout the implementation pathway in Indian healthcare industry through systematic literature review and expert opinion, which is ensured by a taxonomy of CSFs using MICMAC (“Matrice d' Impacts Croisés-Multiplication Appliquée á un Classement”) and questionnaire-based survey to empirically validate the model through utilizing “Structural Equation Modelling” (SEM).

Findings

In this study, 17 keys CSFs to sustainable LSS implementation in healthcare industry have been investigated, and modeled. “Social and environmental responsibility,” “Financial return and project success stories,” “Top management involvement and leadership to implement Sustainable LSS,” “Availability of required resources, and their efficient utilization” are found to be the most essential CSFs for successful sustainable LSS implementation in healthcare industry. Further, classification of CSFs has been done for better interpretation of their nature using MICMAC approach. Moreover, the applicability of the proposed model has been empirically assessed utilizing SEM.

Research limitations/implications

The scrutiny of data reveals that the initial inputs from experts throughout the ISM pathway could trigger biased inputs into the study and generalization of the results into others, it might be viable that this propounded model might trigger distinct outcomes for contrasting types of healthcare organizations.

Practical implications

This model on sustainable LSS would support the decision-makers, practitioners and researchers to predict key CSFs through deployment and support the existing academic research on sustainable LSS. Accordingly, the focus on the CSFs of the sustainable LSS can be prioritized to diminish waste, and enhance patient satisfaction and safety.

Originality/value

This paper is an original contribution of analysis of CSFs in Indian healthcare industry utilizing an integrated ISM-MICMAC and SEM approach.

Article
Publication date: 9 April 2020

Vikas Swarnakar, Anil Kr Tiwari and A.R. Singh

The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the…

Abstract

Purpose

The purpose of this study is to identify, evaluate and develop a structured model to measure the interrelation between critical failure factors (CFFs) that affects the implementation of the sustainable Lean Six Sigma (SLSS) framework in a manufacturing organization. Further solution approaches have been provided that inhibit those CFFs and help in successful implementation of the framework.

Design/methodology/approach

To find the interrelation among the selected CFFs and develop a systematic structured model, a total interpretive structural modeling (TISM) approach has been used. A 13-level model for selected CFFs has been formed after the application of the TISM approach. Further classification of CFFs has been performed for a better understanding of their nature through MICMAC analysis.

Findings

A total of 26 SLSS CFFs have been identified through a detailed study of case organization, various literature reviews and experience of panel experts toward developing a systematic model of CFFs. The solution approach has been provided by panel experts based on their industrial experiences after observing the role of CFFs in the developed model. Based on the analysis, it was found that most dependent and dominant CFFs affect the implementation of the SLSS framework in the case organization.

Practical implications

This study helps SLSS practitioners, project managers, decision-makers and academicians of manufacturing industries to a better understanding of the failure factors and their interrelations while implementing the SLSS framework in manufacturing organizations. This study also guides the systematic solution approach which helps in tackling such problems that occurred in manufacturing organizations.

Originality/value

In this study, the TISM-based structural model of CFFs for implementing the SLSS framework in manufacturing organizations has been proposed which is a very new effort in the area of a manufacturing environment.

Article
Publication date: 1 August 2016

Vikas Swarnakar and S. Vinodh

This paper aims to deploy Lean Six Sigma (LSS) framework to facilitate defect reduction and enhance bottom line results of an automotive component manufacturing organization.

2248

Abstract

Purpose

This paper aims to deploy Lean Six Sigma (LSS) framework to facilitate defect reduction and enhance bottom line results of an automotive component manufacturing organization.

Design/methodology/approach

LSS is a business process improvement strategy widely used in the manufacturing field for enhancing manufacturing organization performance. The integration of Lean and Six Sigma will enable the attainment of defects reduction by eliminating non-value-adding activities from production line. LSS framework has been developed with the integration of define–measure–analysis–improve–control (DMAIC) tools and techniques.

Findings

The finding of this study is that the LSS framework has been successfully implemented in automotive component manufacturing organization, and non-value-adding activities and defects from assembly line have been reduced. The proposed LSS framework applies lean tools within Six Sigma DMAIC approach to facilitate waste elimination and defect reduction. The developed framework with linkage of DMAIC tools and techniques reduces defects and non-value-adding activities with enhanced bottom line results. The implementation of proposed LSS framework shows effective improvement in key metrics.

Research limitations/implications

The developed framework has been test implemented in an automotive component manufacturing organization. In future, more number of studies could be conducted. Further, advanced lean tools and techniques could be included in the framework for increasing the effectiveness of production line.

Practical implications

The proposed LSS framework with linkage of DMAIC tools and techniques has been successfully implemented in an assembly line of automotive component manufacturing organization. This method is presently applied for an automotive component manufacturing organization; in future, the approach could be applied in different industrial sectors with addition of new tools and techniques for improving its effectiveness.

Originality/value

LSS framework has been designed and test implemented in an assembly line of an automotive component manufacturing organization. Hence, the inferences are practical and key results of the study.

Details

International Journal of Lean Six Sigma, vol. 7 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 10 February 2022

Manita Matharu, Neha Gupta and Vikas Swarnakar

The goal of this research is to find the components that can inspire people to reduce food waste at household consumer level. The components were created by combining the…

Abstract

Purpose

The goal of this research is to find the components that can inspire people to reduce food waste at household consumer level. The components were created by combining the theory of planned behaviour (TPB), theory of interpersonal behaviour (TIB) and motivation opportunity ability (MOA) model.

Design/methodology/approach

The study is based on the content analysis, which identifies the motivating factors for food waste reduction at the consumer household level. A total of 12 motivating factors are identified across extensive literature reviews along with opinions of experts. Then, the recognized motivating factors are analysed for causal interrelationship using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. Data were collected from 95 experts, selected using purposive sampling, through a questionnaire survey.

Findings

A total of 95 household experts expressed their views on food waste reduction motivation factors, and a decision matrix has been developed based on that. Then, opinions are analysed using the DEMATEL approach, and it was found that “perceived behavioural control (PBC)” is the most influential motivating factor for food reduction at the household consumer level. Results also showed that “knowledge and skills about proper food management at home” are the least affected factor among the others.

Practical implications

Minimizing food wastes at the consumer and household level can provide the benefits to both people and environment in multiple ways. The problem of food waste necessitates a multifaceted response, and this study aims to address consumers' motivation and capabilities to lessen food waste behaviour. Since the benefits of minimizing food wastes have often remained untapped and neglected, educational efforts should be used by policymakers to enhance household awareness of food waste.

Social implications

The present study contributes to the inadequate research on household food waste in India and is expected to facilitate sustainable consumption.

Originality/value

Food waste management is particularly difficult for developing countries, like India, which have little resources and are environmentally vulnerable. Not only is there a dearth of study on household food waste, but most of the research has been conducted in developed economies. Also, a novel applied method has been utilized in this study.

Details

Asia-Pacific Journal of Business Administration, vol. 14 no. 2
Type: Research Article
ISSN: 1757-4323

Keywords

Article
Publication date: 12 October 2015

S Vinodh and Vikas Swarnakar

The purpose of this paper is to select the optimal Lean Six Sigma (LSS) project using hybrid fuzzy-based Multi-Criteria Decision-Making (MCDM) approach for an automotive…

Abstract

Purpose

The purpose of this paper is to select the optimal Lean Six Sigma (LSS) project using hybrid fuzzy-based Multi-Criteria Decision-Making (MCDM) approach for an automotive component manufacturing organization.

Design/methodology/approach

The LSS project selection has been formulated as the MCDM problem. Hybrid MCDM method based on Decision-Making Trial and Evaluation Laboratory Model (DEMATEL), Analytical Network Process (ANP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been used to select the optimal LSS project. The methodology enabled the practitioners to systematically prioritize LSS projects.

Findings

The finding of this study is that, out of five LSS projects, project P3 is the best LSS project. P3 is the optimal LSS project with reduced failure risk, and efforts are being taken to implement the selected project.

Research limitations/implications

The problem formulation and methodology has been tested for a single study. In future, more number of studies could be conducted using the hybrid approach. This method is presently applied for an automotive component manufacturing organization; in future, the approach could be applied in different industrial sectors for improving its effectiveness.

Practical implications

The case study has been conducted in a real-time industrial problem. The practitioners expressed the usefulness of the methodology for prioritizing LSS projects Hence, the inferences derived are found to possess practical relevance.

Originality/value

The original contribution of the study is the selection of optimal LSS project using hybrid MCDM technique.

Details

International Journal of Lean Six Sigma, vol. 6 no. 4
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 29 September 2021

Md Kamal Hossain and Vikas Thakur

This paper aims to explore the drivers of sustainable healthcare supply chain (SHCSC) performance measurement through extensive literature review and experts' opinions…

Abstract

Purpose

This paper aims to explore the drivers of sustainable healthcare supply chain (SHCSC) performance measurement through extensive literature review and experts' opinions. The drivers are then scrutinized and their priority vector is calculated to provide quality and cost-effective healthcare supply chain (HCSC) services.

Design/methodology/approach

The drivers of the SHCSC performance measurement are validated using the grey-Delphi technique. After validating the drivers, they are prioritized using the grey-analytic hierarchy process (G-AHP), a multi-criteria decision-making tool.

Findings

The findings of the study highlight the prioritized drivers based on the preferences given by the experts. The findings of the study highlight the most prioritized drivers of healthcare (HC) by-product management system, coordinating and facilitating green suppliers in the HCSC and green packaging of pharmaceutical as well as other essential items.

Practical implications

The HCSC managers should coordinate with all the stakeholders across the supply chain and involve them in the decision-making process to make products and services greener and become complicit in complying with the sustainable policy guidelines. The study highlights the strategic policy and managerial implications for implementing sustainability in the HCSC.

Originality/value

The validation and prioritization of the drivers of SHCSC in developing nations' contexts is the key contribution of the study. Grey-AHP enables a practical approach towards enhancing the sustainability of the HCSC and opening the doors for generalizing the study for future research works.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

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