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Article

V. Vaishnavi and M. Suresh

Lean Six Sigma (LSS) is a widely accepted business improvement methodology in healthcare, which aims to improve operations and quality and reduce cost, medical errors and…

Abstract

Purpose

Lean Six Sigma (LSS) is a widely accepted business improvement methodology in healthcare, which aims to improve operations and quality and reduce cost, medical errors and waiting time by combing the principles of lean thinking with Six Sigma methodologies. To implement LSS successfully in healthcare organizations it is necessary to know the readiness level before starting the change process. Thus, the purpose of this paper is to assess the readiness level for the implementation of LSS in healthcare using a fuzzy logic approach.

Design/methodology/approach

The current study uses a fuzzy logic approach to develop an assessment model for readiness to implement LSS. The conceptual model for readiness is developed with 5 enablers, 16 criteria and 48 attributes identified from the literature review. The current study does the study in a medium-size hospital from India.

Findings

The fuzzy readiness for implementation of LSS index (FRLSSI) and fuzzy performance importance index (FPII) are calculated to identify the readiness level for the implementation of LSS in the case hospital. The FRLSSI is computed as average ready with (3.30, 5.06 and 6.83) and the FPII computed helps to identify 15 weaker attributes from 48 attributes.

Research limitations/implications

The current study uses only one hospital for study. In the future, the model can be tested in many hospitals.

Practical implications

The current study would be used by the managers of a healthcare organization to identify the readiness level of their organization to implement LSS. The proposed model is based on the identification of enablers, criteria and attributes to assess the readiness level of a healthcare organization and it helps to improve the readiness level to implement LSS effectively.

Originality/value

The present study contributes to the knowledge of readiness for the implementation of LSS in a healthcare organization. The conceptual model is developed for assessing the readiness level of a healthcare organization and it helps to improve the readiness level for successful implementation of LSS. Weaker attributes are identified and necessary corrective actions should be taken by the management to improve the readiness. The continuation of the assessment readiness model over a period of time would help to improve the readiness level of healthcare for the implementation of LSS.

Details

International Journal of Lean Six Sigma, vol. 12 no. 2
Type: Research Article
ISSN: 2040-4166

Keywords

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Article

S. Vinodh and S. Aravindraj

The purpose of this paper is to report a research on the development of axiomatic modeling of a lean manufacturing system.

Abstract

Purpose

The purpose of this paper is to report a research on the development of axiomatic modeling of a lean manufacturing system.

Design/methodology/approach

A conceptual model for lean manufacturing has been adopted. A hierarchical structure has been developed to model the design process of a lean manufacturing system composed of functional requirements, design parameters and process variables.

Findings

The theory of axiomatic design advocates the creation of process variables by mapping the design parameters in the process domain. This article serves as an efficient guideline for the design process to clarify the tools, methods and resources of designing lean manufacturing system.

Research limitations/implications

The implications of the axiomatic model has been derived based on the experiences gained from a single manufacturing organization. Yet, the findings and contributions of this research work would be useful to the captains of thee majority of the manufacturing companies situated in the world.

Practical implications

The axiomatic modeling approach serves as an efficient guideline for the design process to clarify the tools, methods and resources of designing a lean manufacturing system of an Indian rotary switches manufacturing organization.

Originality/value

The conceptual model of lean manufacturing has been developed from literature. Based on the conceptual model, the hierarchical model for axiomatic approach has been developed. The contributions and the inferences are original and add value to the state of the art approaches.

Details

Journal of Engineering, Design and Technology, vol. 10 no. 2
Type: Research Article
ISSN: 1726-0531

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Article

Sakthivel Aravindraj and S. Vinodh

– The purpose of this study was to develop a 40-criteria agility assessment model and explore its practical feasibility in an industrial scenario.

Abstract

Purpose

The purpose of this study was to develop a 40-criteria agility assessment model and explore its practical feasibility in an industrial scenario.

Design/methodology/approach

Agile manufacturing (AM) principles enable organizations to understand customer needs and incorporate the necessary changes in product- and processes-oriented approaches. In this research study, a 40-criteria agility assessment model was developed. The agility assessment model was subjected to investigation in an Indian relays manufacturing organization.

Findings

The research study indicates that the organization is agile. Besides computing agility level, the gaps across agile criteria have been identified and actions for agility improvement were subjected to implementation in the case organization.

Research limitations/implications

The 40-criteria agility assessment model was subjected to investigation in a single manufacturing organization. In future, more number of studies could be conducted.

Practical implications

To acquire agile characteristics, modern organizations should assess the agility level at which they operate. In this context, the agility assessment model was developed.

Originality/value

The agility assessment tool presented in this paper consists of 40 agile criteria, which are well supported by the research findings reported in literature. Hence, the developed 40-criteria agile model is original and novel.

Details

Journal of Engineering, Design and Technology, vol. 12 no. 4
Type: Research Article
ISSN: 1726-0531

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Article

Karthik Bharathi S., S. Vinodh, Sriharsha Devarapu and Goutham Siddhamshetty

The purpose of the study reported in the paper is to apply a structured problem-solving approach based on the Lean approach to analyse weld defects and derive appropriate…

Abstract

Purpose

The purpose of the study reported in the paper is to apply a structured problem-solving approach based on the Lean approach to analyse weld defects and derive appropriate solutions.

Design/methodology/approach

Manufacturing organisations involved in welding fabrication are expected to reduce weld defects to attain competitive advantage. Weld defects need to be systematically analysed for valve performance enhancement. In this research study, Lean approach is used to reduce variations and waste by annihilating the root causes for failures that occur during submerged arc welding (SAW) process.

Findings

The deployment of solutions facilitated weld defect reduction and substantial financial savings for the organisation.

Research limitations/implications

The framework has been test-implemented for analysing variations and wastes generated in the SAW process. In future, studies could be conducted for assessing different welding processes.

Practical implications

The proposed Lean framework has been successfully implemented in a large-scale manufacturing unit involved in fabrication work.

Originality/value

Lean framework has been test-implemented in a large-scale manufacturing organisation involved in weld fabrication work.

Details

International Journal of Lean Six Sigma, vol. 8 no. 2
Type: Research Article
ISSN: 2040-4166

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Article

Ben Ruben R., Vinodh S. and Asokan P.

The purpose of this study is to prioritize and analyze the barriers that affect Lean Six Sigma (LSS) adoption with environmental considerations.

Abstract

Purpose

The purpose of this study is to prioritize and analyze the barriers that affect Lean Six Sigma (LSS) adoption with environmental considerations.

Design/methodology/approach

To find interrelationships and mutual influences among the identified barriers, an integrated interpretive structural modeling (ISM) and Fuzzy MICMAC (Matrice d’Impacts Croisés Multiplication Appliqués à un Classement approach was applied). In total, 20 crucial barriers that affect LSS adoption with environmental considerations have been derived from the literature and in consultation with experts hailing from the industry and academia.

Findings

Based on the analysis, the most dominant and dependent barriers that affects LSS adoption with environmental considerations have been identified. The barriers, namely, “lack of top management commitment”, “lack of training and education” and “lack of funds for green projects”, occupy the base segment of the ISM hierarchy; the barriers, namely, “difficulty in adopting environmental strategies”, “stringent government policies”, “negative attitude towards sustainability concepts”, “improper communication” and “lack of defect monitoring analysis”, occupy the top level of the ISM hierarchy.

Practical implications

The analysis helped in identifying and prioritizing the barriers that affect LSS adoption with environmental considerations using a mathematical approach. This approach is also helpful for practitioners to focus on removing the key dominant barriers and to enable LSS adoption with environmental considerations smoothly.

Originality/value

The analysis helped in identifying and prioritizing the barriers that affect LSS adoption with environmental considerations using the Fuzzy MICMAC approach which has not been attempted in the past. The structural model is developed holistically based on the inputs gathered from practitioners and academicians to ensure practical validity. Also, this approach is helpful for practitioners to focus on removing the key dominant barriers and enabling them to deploy LSS concepts with environmental considerations smoothly.

Details

International Journal of Lean Six Sigma, vol. 9 no. 1
Type: Research Article
ISSN: 2040-4166

Keywords

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Article

N. Harikannan, S. Vinodh and Anand Gurumurthy

The concept of sustainable manufacturing has been adopted by manufacturing organizations to develop eco-friendlier products and processes. In recent times, industries are…

Abstract

Purpose

The concept of sustainable manufacturing has been adopted by manufacturing organizations to develop eco-friendlier products and processes. In recent times, industries are progressing toward Industry 4.0 (I4.0). Guided with smart intelligent devices, I4.0 can possibly decrease excess production, material movement and consumption of energy. If so, it is hypothesized that there is a good synergy between I4.0 and sustainability, which warrants an integrated approach for implementation. This amalgamation is termed as “Sustainable industry 4.0.” Hence, this paper aims to systematically identify and analyze the drivers for this integration.

Design/methodology/approach

This paper presents the analysis of 20 drivers identified from literature review for simultaneous deployment of I4.0 and sustainable manufacturing. Interpretive structural modeling (ISM) is used to derive the structural model for analyzing the causal association between drivers. Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis is being performed to group the drivers.

Findings

The results showed that the dominant drivers derived are societal pressure and public awareness (D18), government policies on support I4.0 (D12), top management involvement and support (D15) and government promotions and regulations (D16). Also, the MICMAC analysis revealed many driving, dependent, linkage and autonomous drivers.

Research limitations/implications

The opinion from experts with combined expertise on I4.0 and sustainability was obtained. The respondent size could be increased in future studies.

Practical implications

The study has been done based on inputs from industry practitioners. Managerial and practical implications are presented. ISM shows that the drivers for deploying sustainable I4.0 are highly inter-related. It also reveals the pre-requisites for each level of the drivers.

Originality/value

The idea of analyzing the drivers for sustainable I4.0 is the original contribution of the authors.

Details

Journal of Modelling in Management, vol. 16 no. 1
Type: Research Article
ISSN: 1746-5664

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Article

S Vinodh and Vishal Ashok Wankhede

The aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy…

Abstract

Purpose

The aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).

Design/methodology/approach

Technological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.

Findings

The key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.

Research limitations/implications

In the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.

Practical implications

The study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.

Originality/value

The analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

Details

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

Keywords

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Article

Vimal KEK, Vinodh S., Brajesh P. and Muralidharan R.

Rapid prototyping (RP) has been given focus during dynamic market conditions, as it largely helps to compress product development time. RP contains the potential to…

Abstract

Purpose

Rapid prototyping (RP) has been given focus during dynamic market conditions, as it largely helps to compress product development time. RP contains the potential to achieve environmentally friendlier operations. However, RP processes are not environmentally friendlier, as the possibilities of toxicological health and environmental risks while handling and disposing of raw material remain unresolved. This study aims to select environmentally friendlier processes without compromising required mechanical properties. Some of the RP processes considered in this study are selective laser sintering (SLS), stereo lithography apparatus (SLA), three-dimensional printing (3DP) and laser engineered net shaping (LENS).

Design/methodology/approach

A conceptual model comprising 25 criteria (both traditional and environmental) has been developed. An expert team was formed to evaluate the environmental performance of RP processes using the developed conceptual model. Analytic network process–technique for order preference by similarity to an ideal solution-based hybrid methodology has been adopted for this purpose. Further, to overcome ambiguity and subjectivity nature of judgment, fuzzy set concepts have been adopted. Finally, a decision support system has been developed using MATLAB software to mitigate the associated computational difficulty.

Findings

The detailed analysis of criterion weights revealed that the expert team has assigned higher importance to environmental criteria over traditional criteria. Based on environmental considerations, ranking has been generated as SLA-SLS-3DP-LENS.

Research limitations/implications

Only point-to-point and discrete fusion-based RP process have been considered in this study to demonstrate the developed conceptual model. Also, expert knowledge has been taken to rate some of the environmental criteria. In the near future, by conducting environmental studies, these criteria can be substituted with real data to improve accuracy of RP process selection.

Originality/value

Reported studies in RP process selection in literature were conducted considering mainly the various traditional criteria. In this study, the environmental criteria have also been considered along with traditional criteria. This study takes the initiative toward sustainability studies in RP processes. Also, detailed inferences have been derived and the results have been compared with the existing studies and this is the novel contribution of this study.

Details

Rapid Prototyping Journal, vol. 22 no. 2
Type: Research Article
ISSN: 1355-2546

Keywords

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Article

Pavan Kumar Potdar, Srikanta Routroy and Astajyoti Behera

Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness…

Abstract

Purpose

Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness, innovation, superior quality, etc. along the supply chain to satisfy the ever increasing customer demand and to maximize the profit. The purpose of this paper is to critically analyze the literature related to various dimensions of AM and to report the findings.

Design/methodology/approach

This paper presents the reviews of 300 scholarly articles from 1993 to 2016 by various researchers and practitioners on AM collected from different sources, i.e. Google Scholar and ResearchGate. The information related to AM is also captured during industrial visits to different Indian manufacturing plants.

Findings

AM definitions are reported along divergent scopes and objectives in the literature. The researchers have given importance on performance measurement and process analysis through empirical and descriptive analysis whereas its implementation issues are neglected. It is also observed that the effort made on AM is significant for manufacturing industries which is overlooked in service industries.

Practical implications

This literature review has identified many research gaps in AM which were not paid attention before. Researchers can address these research gaps for strengthening the AM implementation.

Originality/value

In total, 300 research papers are reviewed and analyzed to capture the various aspects of AM and its related issues but not restricted to research methodologies, author profiles, types of industries, tools/techniques/methodology used, etc.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

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Article

Sakthivel Murugan R. and Vinodh S.

This paper aims to optimize the process parameters of the fused deposition modelling (FDM) process using the Grey-based Taguchi method and the results to be verified based…

Abstract

Purpose

This paper aims to optimize the process parameters of the fused deposition modelling (FDM) process using the Grey-based Taguchi method and the results to be verified based on a technique for order preference by similarity to ideal solution (TOPSIS) and analytical hierarchy process (AHP) calculation.

Design/methodology/approach

The optimization of process parameters is gaining a potential role to develop robust products. In this context, this paper presents the parametric optimization of the FDM process using Grey-based Taguchi, TOPSIS and AHP method. The effect of slice height (SH), part fill style (PFS) and build orientation (BO) are investigated with the response parameters machining time, surface roughness and hardness (HD). Multiple objective optimizations were performed with weights of w1 = 60%, w2 = 20% and w3 = 20%. The significance of the process parameters over response parameters is identified through analysis of variance (ANOVA). Comparisons are made in terms of rank order with respect to grey relation grade (GRG), relative closeness and AHP index values. Response table, percentage contributions of process parameters for both GRG and TOPSIS evaluation are done.

Findings

The optimum factor levels are identified using GRG via the Grey Taguchi method and TOPSIS via relative closeness values. The optimized factor levels are SH (0.013 in), PFS (solid) and BO (45°) using GRG and SH (0.013 in), PFS (sparse-low density) and BO (45°) using TOPSIS relative closeness value. SH has higher significance in both Grey relational analysis and TOPSIS which were analysed using ANOVA.

Research limitations/implications

In this research, the multiple objective optimizations were done on an automotive component using GRG, TOPSIS and AHP which showed a 27% similarity in their ranking order among the experiments. In the future, other advanced optimization techniques will be applied to further improve the similarity in ranking order.

Practical implications

The study presents the case of an automotive component, which illustrates practical relevance.

Originality/value

In several research studies, optimization was done on the standard test specimens but not on a real-time component. Here, the multiple objective optimizations were applied to a case automotive component using Grey-based Taguchi and verified with TOPSIS. Hence, an effort has been taken to find optimum process parameters on FDM, for achieving smooth, hardened automotive components with enhanced printing time. The component can be explored as a replacement for the existing product.

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