A model of continuous improvement programme management

Butler, Michael J.R.; Szwejczewski, Marek; Sweeney, Michael T.

doi:10.1080/09537287.2018.1433887

Cited by 34 publications

(31 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Refers to evolving processes to explore superior approaches during the process of transforming inputs into outputs in an endless improvement loop [68]. It is an on-going effort to refine inter-linked processes in the light of their efficiency and flexibility [69].…”

Section: Continuous Improvementmentioning

confidence: 99%

Do they really coexist? An empirical analysis of a conjoint implementation of Quality Management System and High Performance Work System on organizational effectiveness

et al. 2020

View full text Add to dashboard Cite

Over the past few decades, Quality Management System (QMS) and High Performance Work System (HPWS) have emerged as key concepts to enhance organizational effectiveness. All over the globe, majority of contemporary manufacturing and services organizations have applied at least one of these development strategies or even both. This study proposes an integrated framework of QMS and HPWS and empirically investigates the relationship between QMS and HPWS practices and their direct and indirect effects on organizational effectiveness using structural equation modelling (SEM). This research makes a number of significant contributions: (1) The black box of the conjoint implementation is opened up for better appreciation of the interplay of QMS and HPWS practices and their influence on organizational effectiveness (2) The key QMS practices recognized as contributing factor of performance have been classified and examined at two distinct levels i.e. QMS Top Level practices and QMS Core practices (3) The mediating and interaction effects of QMS Core practices and HPWS practices on the relationship of QMS-Top Level practices and organizational effectiveness have been thoroughly investigated. The proposed framework is tested through cross-sectional data from 90 Technical Services Organizations (TSO) operating in Pakistan. The research hypotheses are supported by the test results of the SEM. The findings and implications are discussed along with limitations and future research guidelines.

show abstract

Section: Continuous Improvementmentioning

confidence: 99%

Do they really coexist? An empirical analysis of a conjoint implementation of Quality Management System and High Performance Work System on organizational effectiveness

et al. 2020

View full text Add to dashboard Cite

show abstract

“…PC 1 explained 97.91% of total variation from original CTQs and was the only principal component scores evaluated. These scores were adjusted by using analysis of variance, according to the model in (2). Table 4 presents the square root of variance component for this multivariate GR&R study.…”

Section: B Measure Phase 1) Select Ctqs and Validate Measurement Systemmentioning

confidence: 99%

“…It is essential to highlight that the most variation in PC 1 is due to the feed rate factor. In order to find the best fit for this turning process, several models were analyzed, taking account of lack-of-fit test, Anderson-Darling normality test for residuals and adjusted coefficient of determination (R 2 Adj ). Non-significant impact on PC 1 was provided by the cutting speed factor.…”

Section: Analyze Phasementioning

confidence: 99%

Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning

et al. 2020

View full text Add to dashboard Cite

DMAIC (define, measure, analyze, improve and control) is one of the most utilized methods for guiding practitioners in the decision-making process of quality improvement projects. Industrial processes commonly deal with multiple critical-to-quality (CTQ) characteristics. When these characteristics are correlated, multivariate statistical techniques should be applied. This paper aims to propose a domainspecific Six Sigma method, the MDMAIC (multivariate DMAIC). The new stepwise procedure helps practitioners not only to reduce problem dimension but also to take account of the correlation structure among CTQs during the decision-making process. Principal component analysis has been applied for assessing the measurement system, analyzing process stability and capability, as well as modeling and optimizing multivariate manufacturing processes. A hardened steel turning case has been presented for proposal validation. The result analysis has shown that the MDMAIC was very successful in leading the practitioner during the steps and phases of the quality improvement project. The multivariate capability index of the enhanced process emphasized the substantial economic improvement. INDEX TERMS Six sigma, dmaic, quality improvement, principal component analysis, multiobjective optimization.

show abstract

“…Previous studies have identified many factors that implementation of CI or Kaizen. Among the important components for the CI process are management commitment, customer focus, training, communication process, organizational culture, documentation, and evaluation [43,44]. A systematic literature study carried-out by Carnerud et al…”

Section: B Continuous Improvement and Quality Conceptmentioning

confidence: 99%

“…D. User Quality (USQ) -The tendency and effectiveness of end-users to use the IS solutions affected by various attributes [19,39,40,41]. E. Continuous Improvement (CQI) -Based on the Kaizen concept, to measure the application of CI upon implementing and deploying IS solutions at workplace [13,14,43,44]. F. User Satisfaction (USS) -The degree of how well the expectation and satisfaction of end-users when using IS solutions [5,7,19,36,37] and organization when it is implemented and use within the university [5,6,7,26,42].…”

Section: Details Definition Of Each Construct/dimension Are As Follow;mentioning

confidence: 99%

A Conceptual IS Assessment Model for Public University in Malaysia

Hassan¹,

Deraman²

2020

IJETT

View full text Add to dashboard Cite

In the era of digital education, the role of Information System (IS) becoming critical a theme for public universities in Malaysia to embrace a change and offer an openness environment in delivering world-class education. The stakeholders require an input and a highly reliable mechanism to evaluate the success of IS solutions at post-implementation level From the context of Malaysia, previous study focus on theory of human behaviour to measure the acceptance of the solutions, and relatively few attempts to evaluate IS solutions based on the most relevant IS quality factors from the public university's perspective. Nonetheless, the measurement mechanism is still vague and subjective from the context of public Malaysian university. The aim of the research is to fill the void by proposing a generic model to measure IS success for public university in Malaysia.

show abstract

A model of continuous improvement programme management

Cited by 34 publications

References 39 publications

Do they really coexist? An empirical analysis of a conjoint implementation of Quality Management System and High Performance Work System on organizational effectiveness

Do they really coexist? An empirical analysis of a conjoint implementation of Quality Management System and High Performance Work System on organizational effectiveness

Integrating Multivariate Statistical Analysis Into Six Sigma DMAIC Projects: A Case Study on AISI 52100 Hardened Steel Turning

A Conceptual IS Assessment Model for Public University in Malaysia

Contact Info

Product

Resources

About