Benchmarking the Lean Six Sigma performance measures: a balanced score card approach

Raval, Shruti J.; Kant, Ravi; Shankar, Ravi

doi:10.1108/bij-06-2018-0160

Cited by 34 publications

(29 citation statements)

References 109 publications

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“…Zandhessami and Rahgozar (2018) used the DEMATEL approach. Raval et al (2019) suggested the integration of LSS with Balanced-Scorecard for further effectiveness of LSS. Soti et al (2010) suggested the integration of LSS with TRIZ (theory of inventive problem-solving) for improved results.…”

Section: Literature Reviewmentioning

confidence: 99%

Critical success factors for lean six sigma in quality 4.0

Yadav

Shankar

Singh

2021

IJQSS

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Purpose Critical success factors (CSF) for lean six sigma (LSS) using quality 4.0 are not researched so far. This study aims to bridge this gap. It also validates CSF already identified for LSS under conventional technologies. Design methodology approach Empirical research using the questionnaire method is conducted. Construct of the questionnaire is checked using Cronbach’s alpha and responses received are analysed using t-test and exploratory factor analysis. Findings In total, 20 factors are evaluated for LSS success. It includes 7 factors related to quality 4.0 technologies and 13 related to the conventional set-up. All 7 quality 4.0 related factors were found critical; whereas, under traditional set-up, 11 factors out of 13 were found critical. Practical implications The study will help enterprises in the fast and effective adoption of quality 4.0 and seamless integration with LSS. The post-Covid-19 business scenario is expected to be information technology focussed. The findings of this study will be useful in these circumstances. Consultants and practitioners can prioritise their efforts based on newly identified CSF. The new revelation about CSF for LSS in quality 4.0 enriches theory as well. Social implications Developing skills based on newly identified CSF will help people in remaining employable in the era of automation, robotics and artificial intelligence which is otherwise ill-famed for destroying jobs. Originality value CSF for LSS using quality 4.0 is a new contribution. It differentiates CSF established earlier for conventional technologies. Moreover, many CSF are common for LSS and industry 4.0, therefore this study will also help in smoother adoption of industry 4.0/quality 4.0 in organisations.

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Section: Literature Reviewmentioning

confidence: 99%

Critical success factors for lean six sigma in quality 4.0

Yadav

Shankar

Singh

2021

IJQSS

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“…BSC has four strategic measurement perspectives, namely, financial performance measures, customer performance measures, internal business process performance measures, and learning and growth performance measures (Kaplan and Norton, 2006). Added by (Raval et al, 2019), BSC's approach to financial measures shows the results of actions taken and nonfinancial measures concentrate on internal processes, customer satisfaction, and innovation and improvement. Therefore, the BSC method provides a major advantage for management, which is only measuring factors that are directly related to organizational strategy and not measuring everything (Punniyamoorthy and Murali, 2008).…”

Section: Strategy Selectionmentioning

confidence: 99%

“…Therefore, the BSC method provides a major advantage for management, which is only measuring factors that are directly related to organizational strategy and not measuring everything (Punniyamoorthy and Murali, 2008). For this reason, BSC is more focused on helping management to add value to the company (Raval et al, 2019).…”

Section: Strategy Selectionmentioning

confidence: 99%

Family Business Control, Strategy Selection and Strategic Performance Measurement Usage

Ony¹

2021

Jurnal Akuntansi

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Firms that are managed by family businesses have developed and have an impact on the growth of a country's economy. The family business has been a concern in much of the research literature. The development of family businesses also has an interesting phenomenon related to business governance systems, especially in management control systems. Therefore, this study aims to examine the effect of the owner's role in the management of the family business, and the strategy selection on to use of strategic performance measurement on the family business. The research was conducted using quantitative methods primary data through a survey of micro, small and medium entrepreneurs in the city of Palembang. A total of 150 questionnaires were distributed to entrepreneurs. The number of questionnaires used in this study was 107 (71%). ANOVA analysis was used to test the hypothesis. The results showed that the role of the owner in controlling the family business and the strategy selection affected the strategic performance measurement.

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“…LSS assessment method for the performance of the organization can be obtained from the feedback and guides from the planning activities. The assessment method permits the manager to regulate the effective practice to use the resources effectively in the organization (Raval et al , 2019). The process of hospital improvement includes the project objective of reducing the waiting of patients and the percentage of scheduled utilization of staff in the process of hospital activities (Bhat et al , 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of readiness level for implementing lean six sigma in healthcare organization using fuzzy logic approach

Vaishnavi

Suresh

2020

IJLSS

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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.

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Benchmarking the Lean Six Sigma performance measures: a balanced score card approach

Cited by 34 publications

References 109 publications

Critical success factors for lean six sigma in quality 4.0

Critical success factors for lean six sigma in quality 4.0

Family Business Control, Strategy Selection and Strategic Performance Measurement Usage

Assessment of readiness level for implementing lean six sigma in healthcare organization using fuzzy logic approach

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