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The purpose of this paper is to investigate how successful lean six sigma (LSS) manifests in the Australasian (Australian and New Zealand) context relative to the context in the USA in terms of LSS project definition, structure and practices.

In-depth investigation through case studies – 12 Australian/New Zealand cases and 4 US cases – on the implementation mechanisms of successful LSS initiatives.

A significant difference was found between Australasian and US definitions of an LSS project. However, firms in both regions followed similar project selection, initiating and execution practices. LSS reporting structures were found to be well-established in US organizations, but none of the Australasian organizations were found to be equipped with such a structure, although the effectiveness of LSS implementation success remained unaffected.

Sufficient uniformity of LSS was found across two regions implying its usefulness/generalizability, but the findings are based only on 12 cases.

The paper provides the groundwork to develop a unique LSS model for Australasian organizations to improve processes in an effective and efficient manner.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

Due to the absence of industry and region-specific implementation guides, change efforts, in particular continuous improvement implementations, continue to report high failure rates. The purpose of this paper is, therefore, to present a finalised implementation framework specifically tailored for manufacturing companies.

A conceptual framework derived from the existing literature is validated, through a Delphi study, by an expert panel to review its content and suitability for a practical application.

This paper proposes a finalised framework tailored to the practical needs of users. The results of the Delphi approach offer a phased implementation framework that provides an overview of the implementation process of continuous improvement initiatives and the key activities involved. The framework is suitable for use by both business leaders and continuous improvement practitioners with varying degrees of previous implementation experience.

The research was carried out in the UK and is specifically focused on the manufacturing industry. It is therefore not clear the applicability of the framework presented to other regions and industries. The framework, although validated through several phases of research, still requires practical application and testing.

Business leaders and continuous improvement practitioners will benefit from having the necessary content presented in a manner that will promote its practical application. It has also been demonstrated that the framework is robust in its content, incorporating the literature findings as well as the experience of an expert panel encompassing 20 people.

In times of strong global competition and worldwide economic downturn, there is an imperative need for public services organizations to reform and improve their quality. These organizations can base their improvement efforts on Lean philosophy. The purpose of this study is to assess the employees’ perceived degree of adoption of Lean principles by public services organizations in Greece. Determining the differences in the perceptions of groups of employees with regard to the adoption of Lean principles by public organizations is also an aim of the study.

A questionnaire survey was published online, inviting employees of Greek public services organizations to assess the degree of Lean adoption by their organizations, specified on the basis of general principles. A total of 1,022 employees completed the structured questionnaire. Descriptive statistics were applied to assess the degree of adoption of Lean principles by public organizations. The nonparametric Mann–Whitney U Test and Kruskal–Wallis Test were also applied to determine whether there are statistically significant differences in the perceptions of groups of employees with regard to the adoption of Lean principles by public organizations.

According to the perceptions of employees, Greek public organizations adopt Lean principles to a high extent. However, there is room for further improvement in the degree to which Lean is adopted. Statistically significant differences are observed in the perceptions of groups of employees from different sized organizations, hierarchical levels, skill sets and service subsectors, with regard to the degree of adoption of Lean principles by their organizations.

The employees of the public sector who were invited to respond to the survey through social media, the subjective nature of the data collected and the fact that this is a country-specific study constitute the main limitations of the present study, based on which future studies can be designed.

By determining the strong and weak points of the adoption of Lean principles by Greek public services organizations, suitable managerial initiatives can be undertaken by these organizations to fully adopt Lean, eliminate waste and enhance quality management.

Understanding and improving the current status of the adoption of Lean principles by Greek public organizations will influence the services provided to the citizens in terms of time, quality and delivery.

To the best of the authors’ knowledge, this is the first study which provides insights, based on employees’ perceptions, into the adoption of Lean by the public services sector.

The purpose of this study is to identify the critical readiness factors (CRFs) that mainly affect the implementation of Lean Six Sigma (LSS) in an organization and their interactions, and to develop a model that allows the management to assess the Lean Implementation Readiness Level.

The methodology is separated into two main parts: the literature review and the assessment model development. In the literature review, the main CRFs and their interactions for LSS implementation in Scopus Data Base were identified. The second part of the methodology is the model development. It was built on a stepwise framework that considers the relations among the CRFs and their importance. Moreover, it was used fuzzy-based linguistic variables given by the experts working in the company to consider the actual performance rating of each CRF. The model has been validated in the healthcare sector in nine hospitals.

From the model application, it is possible to note that the most frequent level among the nine hospitals interviewed is “Average Ready”. Also, the most extreme level of readiness occurred ones while the most extreme level of not readiness never occurred. Results show that in 78% of the cases, there would have been a high probability of implementation failure. Also, it was possible to identify for each hospital if the CRFs are good, if they are weak and need to change or if another factor needs to be improved before it and what this factor is.

This work proposes a new methodology that eliminates the negative aspects and limitations of the total interpretive structural modeling methodology and the fuzzy logic approach currently applied to evaluate the LSS readiness of a company. The present methodology lies in the fact that it provides a solution not only by defining the weak CRFs but also by giving an indication of priority as it identifies the weak antecedent factors that inhibit the preparedness of the depending factors.

The purpose of this study is to propose the implementation of Lean Six Sigma (LSS) framework in supply chain by providing an actual case study of how to reduce the logistics cost.

In this paper, it is shown how LSS approach, basic tools and Define, Measure, Analyze, Improve and Control methodology can significantly improve a company by enhancing the supply chain and reducing the logistics expenditures.

Root causes to the main problem of this study were analyzed to identify appropriate solutions. After the implementation of solutions, the company’s product quality and internal communication were improved. Correspondingly, the percentage of customer orders that have to be transported by road instead of maritime reduced to 5% from 13% and the percentage of the road transportation cost paid unnecessarily by the company decreased to 1% from 5%.

This case study provides a roadmap and step-by-step implementation of LSS framework for especially companies in plastics industry.

To the best of the author’s knowledge, this paper is the first example of a LSS case study conducted in Turkey to improve the supply chain of a company by targeting primarily a reduction on logistics costs.

The purpose of this study is to explore the trends in publications made to International Journal of Quality and Reliability Management (IJQRM) for time period ranging from 2002–2022. In this study authors performed bibliometric analysis on the publications extracted from Scopus database using citations, authors, keywords and bibliographic coupling methods. The analysis helped authors highlighting the achievements of the journal towards the development of field of “quality” and “reliability” management and explore future avenues to be researched upon in the domain.

In this paper outputs derived through VoS viewer and bibliographic data of Scopus were used to examine various tabular and pictorial aspects of the authors, sources, documents, countries and keywords analysis.

The analysis results revealed that International Journal of Quality and Reliability Management (IJQRM) has got incredible 33,344 citations since 2002 with average citation count per document at 22.69. Sohal A.S. from Monash University, Australia has topped the list of most influential authors in terms of citations per document (107.20 citations/doc) published with IJQRM. However, Antony J. with massive 39 publications in total with 2074 citations is the most prominent contributor for the journal. The author has gained 6% of the total journal citations. The contributions from India, United Kingdom (UK), United States of America (USA), Iran, Australia, Portugal, Brazil, Spain, Sweden, Malaysia and Saudi Arabia are more noteworthy.

The study has implications for future researchers and journal editorial team to explore possibilities in tapping various uncovered and upcoming research areas related to the scope of journal. The findings of the study may prompt research initiatives linked to diverse fields in sync with changes happening across globe such as: Artificial Intelligence, Robotics, Data Science etc.

The study is an attempt to investigate the long standing heritage offered by IJQRM to the world of quality and reliability management. The authors tried to unearth some hidden facts about the IJQRM and attempted to showcase the past and explore future directions to the researchers and editorial team.

Lean Six Sigma (LSS) is a continuous improvement procedure that helps in improving the performance, decreasing variations, reducing lead time and increasing profit. Industry 4.0 (I4.0) portrays a new phase in the enterprise and aims at digitalization of the enterprise. The basis of I4.0 is a cyber-physical system, leading to product networking and complete coordination of process, value enhancement and further optimization. Integrating LSS methodology with I4.0 will give an edge in competitiveness to an enterprise. The aim of this study is to identify and analyze barriers to have an obstacle free implementation.

LSS and I4.0 barriers are identified through literature review. In this paper 18 barriers of LSS and I4.0 that hinder the implementation of integrated LSS and I4.0 are collected. Analysis of barriers was done using interpretive ranking process (IRP).

From the results, it is observed that lack of top management attitude, commitment and involvement are the most dominant barriers.

The study is done by gathering inputs from industry practitioners and derived inferences have practical relevance.

The study of barriers for integrated LSS and I4.0 is the original contribution of the authors.

There is increasing interest in the connection between Industry 4.0 (I4.0) and operational excellence approaches; however, studies on the integration between Six Sigma (SS) and I4.0 have been absent from the literature. Integration with I4.0 technologies can maximize the positive effects of SS. The purpose of this study is to understand what types of relationships exist between SS and I4.0 and with I4.0's technologies, as well as the benefits derived from this integration and future directions for this field of study.

A Systematic Literature Review (SLR) was carried out to analyze studies about connections between I4.0 technologies and SS. SLR analyzed 59 articles from 2013 to 2021 extracted from the Web of Science and Scopus databases, including documents from journals and conferences.

The SLR identified relationships between SS and several I4.0 technologies, the most cited and with the greatest possibilities of relationships being Big Data/Big Data Analytics (BDA) and Internet of Things (IoT). Three main types of relationships were identified: (1) support of I4.0 technologies to SS; (2) assistance from the SS to the introduction of I4.0 technologies, and, to a lesser extent; (3) incompatibilities between SS and I4.0 technologies. The benefits are mainly related to availability of large data sets and real-time information, enabling better decision-making in less time.

In addition, the study can help managers to understand the integration relationships, which may encourage companies to adopt SS/Lean Six Sigma (LSS) in conjunction with I4.0 technologies. The results also drew attention to the incompatibilities between SS and I4.0 to anticipate potential barriers to implementation.

The study focuses on three previously unexplored subjects: the connection between SS and I4.0, the existing relationships with different technologies and the benefits resulting from the relationships. In addition, the study compiled and structured different types of relationships for SS and I4.0 and I4.0's technologies, identifying patterns and presenting evidence on how these relationships occur. Finally, exposes current trends and possible research directions.

The main purpose of this study is to explore different aspects of the Green Lean Six Sigma (GLSS) approach, application status and potential benefits from a comprehensive review of the literature and provide an avenue for future research work. This study also provides a conceptual framework for GLSS.

To do a systematic analysis of the literature, a systematic literature review methodology has been used in this research work. From the reputed databases, 140 articles were identified to explore hidden aspects of GLSS. Exploration of articles in different continents, year-wise, approach-wise and journal-wise was also done to find the execution status of GLSS.

This study depicts that GLSS implementation is increasing year by year, and it leads to considerable improvement in all dimensions of sustainability. Enablers, barriers, tools and potential benefits that foster the execution of GLSS in industrial organizations are also identified based on a systematic review of the literature.

The study’s uniqueness lies in that, to the best of the authors’ knowledge, this study is the first of its kind that depicts the execution status of GLSS, and its different facets, explores different available frameworks and provides avenues for potential research in this area for potential researchers and practitioners.