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The objective of this article is to identify the relationships between the enablers in the implementation of Green Lean Six Sigma (GLSS) in the Mexican manufacturing industry (MMI).

To create the survey instrument, the authors did an extensive literature research, which they then applied in the MMI to find the relationships between enablers and their impact on the positive effects of implementing GLSS projects. Using exploratory and confirmatory factor analyses (EFA and CFA), the data were empirically and statistically corroborated. Furthermore, the authors validated the hypotheses that support the research using the structural equation modeling (SEM) approach in SPSS Amos.

The findings reveal that leadership has a positive impact on social and economic benefits (EcB), as well as an indirect impact on the environmental benefits (EB) of GLSS projects, with organizational involvement (OI) and performance measurement (PM) functioning as mediators.

This study represents an empirical reference for practitioners and researchers pursuing high-quality, low-cost, environmentally and socially sustainable products or processes through the implementation of GLSS projects in the manufacturing industry.

This study provides a statistically validated model using the SEM technique to represent the relationships between GLSS enablers in the MMI.

This article identifies the association between two methods for teaching lean manufacturing (LM): problem-based learning (PBL) and classroom lectures, and students' learning styles of a postgraduate course.

Data were collected from graduate students LM courses that present different teaching approaches. Thus, students' learning preferences were gathered through the application of the Index of Learning Style questionnaire, and their performance assessed after each course.

Results indicate that learning styles are indeed associated with LM teaching approaches, and comprehending interaction effects between learning style dimensions is essential for properly adapting the teaching method. However, these interactions have different extensions.

Although teaching LM has significantly evolved over the past decades, the single application of traditional teaching methods jeopardizes learning effectiveness of graduate students because of the practical nature of LM. This study provides evidence to better understand the effect of complementary teaching methods and their relationship with students' preferences, empirically examining that there is not one best approach for understanding LM.

The purpose of this paper is to empirically investigate the relationships among the implementation of LSC practices. Particularly, the authors examine the adoption level of 27 LSC practices, which were identified in a literature review, within 113 manufacturing companies from different sectors located in Southern Brazil.

Data collected were analyzed by means of multivariate techniques (partial correlation analysis) and two control variables were used: level of onshore suppliers and company’s experience on lean manufacturing implementation.

The results showed that the relationship among practices may not always be synergic, since there are pairs of practices that, when concurrently implemented they tend to conflict, hindering their benefits.

The use of partial correlations between pairs of LSC practices provides means to better understand specific associations, disregarding the implementation effect of the whole set of practices. The research also provides managers and practitioners arguments to better comprehend how practices interact with each other under specific contexts.

This paper aims to identify the relationships among critical success factors (CSFs) for lean six sigma (LSS) implementation in higher education institutions (HEIs).

An extensive literature review was conducted to design the survey instrument, which the authors later administered in Mexican public HEIs to identify the existing relationships among the CSFs and their impact on the benefits obtained from implementing LSS projects. The data were empirically and statistically validated using exploratory and confirmatory factor analysis. Additionally, the authors applied the structural equation modeling (SEM) technique on SPSS Amos to validate the nine hypotheses supporting the research.

The results suggest that the success of LSS projects in HEIs is highly bound to a serious commitment from top management and several interrelated factors.

The main limitations of the study are that the research is cross-sectional in nature and regional in focus. Namely, the data used to validate the structural model were gathered from a small representative subset of the study population – i.e. Mexican public HEIs – and at a specific point in time.

The results reported here represent a reference framework for HEIs worldwide that wish to continuously improve their processes through LSS improvement projects.

This study proposes a statistically validated model using the SEM technique that depicts the relationships among LSS CSFs in HEIs.

The purpose of this paper is to empirically investigate the effect of a set of contextual variables on the implementation of lean supply chain (LSC) practices. The authors do that by investigating one main research question: “how do the contextual variables (i.e. plant size, supply chain level, level of onshore suppliers and age of the LM initiative) influence on the degree of adoption of LSC practices?”

To this end, the authors collected data from 115 companies from different sectors located in Southern Brazil. Data collected was analyzed by means of multivariate techniques. The authors tested if the frequency of observations for each contextual variable was associated to the implementation levels of the LSC practices.

The evidences suggest that supply chain context significantly impacts the likelihood of implementing LSC practices. In particular, the influence of tier level, plant size and larger experience in implementing LM seems to be substantial across a wide mix of practices. On the other hand, results indicate that contexts in which companies are still beginners at the lean journey and their level of onshore suppliers appear to be less pervasive than previous empirical researches imply.

The implementation of LSC practices entails a different business model, in which improved profits arise from the cooperation rather than bargaining or imposing power over supply chain partners. However, not all organizations should implement the same set of practices, since the adoption of any specific management practice depends upon a set of contextual variables. The understanding of the relationship between the level of adoption of LSC practices and the contextual variables helps to anticipate occasional difficulties and sets the proper expectations along the implementation.

The objective of the study is to design and validate an instrument that allows organizations to assess their status regarding the adoption of the critical success factors (CSFs) that enable lean six sigma (LSS) implementation in order to achieve the expected benefits.

An extensive literature review was conducted to define the LSS CSFs that have to be considered for the development of the questionnaire that would later be applied across all manufacturing companies on the Northern Mexican border. Once the database was built, a statistical verification of the assumptions required for factor analysis took place. Finally, the due construct validation was carried out to verify whether the proposed instrument measured reliably what it is intended to.

A questionnaire measuring nine CSFs, as well as the benefits associated with the implementation of LSS, was designed and validated through 61 items.

The main limitations of this study are that the research is cross-sectional and that the study was carried out taking as a reference only exporting manufacturing companies located in the border area between Mexico and the United States.

The validated instrument is expected to serve as a useful tool for companies interested in the implementation of LSS.

This study introduces a validated tool for the analysis of LSS CSFs while providing evidence of construct validity and the solid structure of the factors.

In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance.

Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research.

The authors’ findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects.

With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.

The objective of this research is twofold. First, we aim at identifying the pairwise relationships between Lean Production (LP) practices and Industry 4.0 (I4.0) technologies. Second, based on these results, we propose a framework for Lean Automation (LA) implementation, in which I4.0 technologies are integrated into LP practices.

To achieve that, a cross-sector survey was performed with 147 manufacturers that are undergoing a LP implementation aided by novel information and communication technologies from I4.0. Multivariate data analysis was applied in order to underpin the proposed framework for LA.

Findings indicate that I4.0 technologies are positively correlated with LP practices, providing evidence to bear the proposition of a LA framework that can potentially overcome traditional barriers and challenges of a LP implementation.

As previous studies have approached LA implementation from a narrow perspective or including a limited set of LP practices and I4.0 technologies, the proposition of an integrated framework unfolds a wider range of synergistic implementations that may corroborate to a holistic approach for continuous improvement in the Fourth Industrial Revolution era.

The purpose of this paper is to extend the understanding of Six Sigma (SS) and the underlying dimensions of its critical success factors (CSF) via an analysis of the effects of top management support (TMS), implementation strategy (IS), and collaborative team (CT) on project performance (PP) in Mexican manufacturing companies.

Based on a SS literature review, a survey was conducted to capture practitioners’ viewpoints about CSFs for SS implementation and their impact on performance in manufacturing companies. A factor analysis and structural equation modeling were conducted in order to identify and analyze causal relationships.

The results suggest that CSFs grouped in the constructs TMS, IS, and CT have a positive impact on PP as measured by cost reduction, variation reduction, and quality improvement.

Although the empirical data collected supported the proposed model, results might differ among organizations in different countries. In addition, the study did not analyze a unique performance metric; instead, general PP dimensions were used.

Boosting the TMS, IS, and CT enhances positive PP of SS in manufacturing companies.

IS as a construct has not been studied exhaustively; this work contributes to a better understanding of it and its impact on PP. Additionally, studies of SS in Latin America are limited, so this study gives a complementary vision to practitioners and researchers about it.