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Article
Publication date: 7 February 2022

Ana Paula Lista, Guilherme Luz Tortorella, Marina Bouzon, Matthias Thürer and Daniel Jurburg

This study aims to investigate the impact of traditional teaching and active learning methods in lean management (LM) on the development of both soft and hard skills.

Abstract

Purpose

This study aims to investigate the impact of traditional teaching and active learning methods in lean management (LM) on the development of both soft and hard skills.

Design/methodology/approach

Through a longitudinal study, team members from two different organisations (the administrative sector of a public higher education institution and a public teaching hospital), each adopting different teaching methods to support their LM trainings, were systematically examined at four moments during an 18-month period. How teaching methods impacted team members’ development and knowledge was then assessed using multivariate data analysis techniques.

Findings

Results indicated that LM trainings can provide significant impacts when a combination of traditional teaching methods and active learning is adopted. Traditional teaching methods can be a good choice for learning hard skills depending on resources’ availability. However, it is recommended to include active learning methods to assist in the comprehension of more complex and abstract LM concepts (soft skills).

Originality/value

Although there exists a large number of publications on the relationship between LM implementation and teaching methods, the number of studies that consider the development of both hard and soft skills is rather limited. This study complements the existing literature on LM by identifying which teaching methods can support the development of hard skills and which the development of soft skills. Such identification facilitates the work of both scholars wishing either to begin or to dig deeper into this sphere and practitioners pursuing the best outcomes from LM.

Details

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

Keywords

Article
Publication date: 13 September 2019

Guilherme Luz Tortorella, Ricardo Giglio and Desirée H. van Dun

The purpose of this paper is to examine the moderating role of Industry 4.0 technologies on the relationship between lean production (LP) and operational performance…

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Abstract

Purpose

The purpose of this paper is to examine the moderating role of Industry 4.0 technologies on the relationship between lean production (LP) and operational performance improvement within Brazil, a developing economy context.

Design/methodology/approach

One representative from each of the 147 studied manufacturing companies filled in a survey on three internally related lean practice bundles and two Industry 4.0 technology bundles, with safety, delivery, quality, productivity and inventory as performance indicators. As this study was grounded on the contingency theory, multivariate data analyses were performed, controlling for four contingencies.

Findings

Industry 4.0 moderates the effect of LP practices on operational performance improvement, but in different directions. Process-related technologies negatively moderate the effect of low setup practices on performance, whereas product/service-related technologies positively moderate the effect of flow practices on performance.

Originality/value

With the advent of Industry 4.0, companies have been channelling their efforts to achieve superior performance by advancing levels of automation and interconnectivity. Eventually, widespread and proven manufacturing approaches, like LP, will integrate such technologies which may, in turn, impair or favour operational performance. Contrary to previous studies, the contingencies appeared to have a less extensive effect. The authors point to various options for further study across different socio-economic contexts. This study evidenced that purely technological adoption will not lead to distinguished results. LP practices help in the installation of organisational habits and mindsets that favour systemic process improvements, supporting the design and control of manufacturers’ operations management towards the fourth industrial revolution era.

Details

International Journal of Operations & Production Management, vol. 39 no. 6/7/8
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 20 April 2022

Guilherme Tortorella, Anupama Prashar, Daniel Samson, Sherah Kurnia, Flavio S. Fogliatto, Daniel Capurro and Jiju Antony

Healthcare supply chains (HSCs) have been adopting Industry 4.0 (I4.0) as a means to boost their resilience. The first objective of this study is to identify the effect of…

Abstract

Purpose

Healthcare supply chains (HSCs) have been adopting Industry 4.0 (I4.0) as a means to boost their resilience. The first objective of this study is to identify the effect of contextual variables of HSCs on resilience development and I4.0 adoption. Second, the paper examines the pervasiveness of the relationship between resilience and I4.0 across different contextual characteristics.

Design/methodology/approach

179 organizations from the HSC in Brazil and India were surveyed. Responses were analyzed using multivariate data techniques.

Findings

Large HSC agents are more likely to develop resilience abilities and adopt I4.0 technologies when these factors are analyzed independently. However, the joint analysis of resilience and I4.0 displayed a large number of significant correlations among small organizations.

Originality/value

Findings provide managers of HSC arguments to enhance resilience through the digitalization. HSC organizations can identify HSC organizations' context to tailor initiatives on resilience and digitalization.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 24 January 2022

Guilherme Tortorella, Tarcisio Abreu Saurin, Flavio Sanson Fogliatto, Diego Tlapa, José Moyano-Fuentes, Paolo Gaiardelli, Zahra Seyedghorban, Roberto Vassolo, Alejandro Francisco Mac Cawley, Vijaya Sunder M, V. Raja Sreedharan, Santiago Alfredo Sena and Friedrich Franz Forstner

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Manufacturing Technology Management, vol. 33 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 2 March 2020

Guilherme Tortorella, Rapinder Sawhney, Daniel Jurburg, Istefani Carisio de Paula, Diego Tlapa and Matthias Thurer

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…

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Abstract

Purpose

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.

Design/methodology/approach

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

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.

Originality/value

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.

Details

Journal of Manufacturing Technology Management, vol. 32 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 21 January 2022

Hadi Balouei Jamkhaneh, Guilherme Luz Tortorella, Sahar Valipour Parkouhi and Reza Shahin

This study seeks to provide a conceptual framework for the classification and selection of Healthcare 4.0 (H4.0) digital technologies affecting healthcare processes.

Abstract

Purpose

This study seeks to provide a conceptual framework for the classification and selection of Healthcare 4.0 (H4.0) digital technologies affecting healthcare processes.

Design/methodology/approach

By examining the literature review, a set of processes of health services based on two axes of interaction and service customization and the axis of labor intensity of the service process matrix was divided into four categories: service factory, mass service, service shop and professional services. Then, using a combination of grey decision-making trial and evaluation laboratory (DEMATEL) and grey weighted aggregates sum product assessment (WASPAS) methods, a framework was presented to compute the impact of each of the H4.0 digital technologies on sub-criteria of the two main axes. Finally, based on the degree of the impact of each technology on the main axes, the technology affecting the four processes was segmented.

Findings

Findings show that the customer participation in the service process (C1), ways to provide customer service (C6) as well as the speed of service delivery (L4) are the most important in the classification of digital technologies affecting healthcare processes.

Research limitations/implications

Various other indicators from the behavioral, cultural, political, social and economic fields can be examined and used as a basis for evaluating H4.0 digital technologies.

Practical implications

The proposed framework can help managers select H4.0 digital technologies to prioritize, review and analyze appropriate technologies to improve and support different processes, prioritize appropriate technologies and review and analyze.

Originality/value

So far, no study has examined the link between digital technologies and various service processes. Therefore, this reinforces the originality and value of the present study.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 13 January 2021

Satie Ledoux Takeda-Berger, Guilherme Luz Tortorella, Carlos Manuel Taboada Rodriguez, Enzo Morosini Frazzon, Tamie Takeda Yokoyama and Marco Aurélio de Oliveira

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case…

Abstract

Purpose

The purpose of this paper is to classify the main barriers related to the implementation of lean supply chain management (LSCM) and prioritize its main practices. A case study approach was conducted to obtain values for the intensity of the relationship between LSCM practices and barriers to mitigate or even anticipate difficulties in its implementation.

Design/methodology/approach

The case study in a company in southern Brazil that is in lean implementation is used for conducting this research. The methodology was structured in three steps, namely, classification of the main barriers through risk analysis, selection of LSCM practices appropriate to the company context and ranking and prioritization of the main practices of LSCM related to the barriers to lean implementation.

Findings

As a result, with the combination of two approaches, failure mode and effect analysis (FMEA) and analytical hierarchical process (AHP), it was possible to obtain values for the intensity of the relationship between LSCM practices and barriers. From the 12 barriers, 5 reached a high-risk degree that can be mitigated, and among the 18 practices found, 7 have the potential to be implemented.

Originality/value

This research allows direct efforts to continuously improve the supply chain to mitigate or even anticipate difficulties in its implementation. The proposed methodology, combining FMEA and AHP is easy to apply and understand, allowing managers and professionals to replicate it in the context of their supply chain and verify results similar and comparable to those obtained here.

Details

International Journal of Lean Six Sigma, vol. 12 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 4 February 2020

Guilherme Luz Tortorella, Rogério Miorando, Diego Fettermann and Diego Tlapa Mendoza

This article identifies the association between two methods for teaching lean manufacturing (LM): problem-based learning (PBL) and classroom lectures, and students'…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Education + Training, vol. 62 no. 3
Type: Research Article
ISSN: 0040-0912

Keywords

Article
Publication date: 21 June 2019

Guilherme Tortorella, Desirée H. van Dun and Amanda Gundes de Almeida

The purpose of this paper is to examine leadership behaviors associated with lean healthcare (LH) implementation and how they develop throughout the change process.

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Abstract

Purpose

The purpose of this paper is to examine leadership behaviors associated with lean healthcare (LH) implementation and how they develop throughout the change process.

Design/methodology/approach

After a systematic literature review of 107 peer-reviewed articles on lean leaders’ behaviors, the authors undertook a one-year mixed-methods study of 12 leaders within a Brazilian public hospital undergoing LH implementation. Multivariate data analysis techniques were employed.

Findings

The literature review showed some convergence between effective lean leader behaviors in both manufacturing and healthcare work settings, implying that lean leaders’ behaviors are generalizable to other contexts than manufacturing. The empirical findings suggest that LH implementation needs leaders to demonstrate a set of task-oriented behaviors, especially if short-term results are mandatory. More mature lean leaders should also continue developing their relations-oriented behaviors.

Research limitations/implications

While the contingency theory assumes that contexts influence (lean) practices adoption, leadership behaviors may not be bound to the work context. The finding resembles the augmentation effect of leadership whereby more mature lean leaders adopt both task- and relations-oriented behaviors.

Originality/value

Longitudinal studies in this field are scarce, regardless of the industrial setting. Many manufacturing and healthcare organizations crave for knowledge about lean leader behaviors throughout the lean implementation journey in order to enhance the effectiveness of their often-struggling lean initiatives. The insights derived from this study could help organizations to adjust their expectations as well as identify behavioral gaps and needs in terms of soft skills development among their leaders.

Details

Journal of Manufacturing Technology Management, vol. 31 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 25 September 2019

Guilherme Tortorella, Rogério Miorando, Marcelo Meiriño and Rapinder Sawhney

The purpose of this paper is to investigate the effect of practitioners’ experience and generational differences on the adoption level of lean production (LP) principles…

Abstract

Purpose

The purpose of this paper is to investigate the effect of practitioners’ experience and generational differences on the adoption level of lean production (LP) principles in their daily decisions and behaviors.

Design/methodology/approach

The authors carried out a cross-sector survey with 135 practitioners from different Brazilian manufacturers that have been implementing LP for at least five years. Collected data were analyzed based on multivariate techniques.

Findings

The results show how different combinations between practitioners’ LP experience and generational characteristics may entail a higher likelihood of adopting LP principles. While members from generation X do not seem to be associated with the adoption of LP principles, the ones from generations Y and Z are differently related with LP based upon their experience levels.

Originality/value

The understanding of individual differences for adopting LP principles allows the establishment of proper expectations with respect to each practitioner’s openness to change. Studies that address the adoption level of LP principles based on certain individual characteristics, such as practitioners’ experience with lean implementation and their generational values and beliefs, are scarce in the literature.

Details

The TQM Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1754-2731

Keywords

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