How to motivate students to do a course project in design of experiments course from a web-based virtual learning material?

Purpose The purpose of this study is to develop a practical method for training students how to conduct statistical analysis and do a course project in design of experiments (DOEs) course through the Web-based virtual catapult simulation. Design/methodology/approach A step-by-step sequential DOE process for investigating the effects of controllable factors on quality characteristic responses was presented as a guideline for conducting a DOE course project. Each team was assigned to create an innovative teaching material and work on the term report by following the recommended guidelines for designing experiments through the Web-based virtual catapult simulation. Hypothesis was defined to test whether doing a course project based on this approach would impact students’ learning outcome. Findings The Web-based virtual material was an alternative technique for interactive teaching that could improve students’ understanding and achievement in DOE course projects. There was a significant difference in student learning and understanding before and after doing on the course project through the Web-based virtual catapult simulation. The students had improved communication and teamwork skills after following the recommended procedure for practicing DOEs. Practical implications Most students could effectively conduct designing experiments, carry out designed experiments, analyze data and gain valuable teamwork experience. After learning the DOE approach based on the catapult simulation, they enjoyed working on their course projects deploying to the innovative toys and other real-life situations with real measurements. Originality/value The use of Web-based virtual material, including catapult simulation, was an alternative technique for interactive DOE teaching to improve the students’ understanding and achievement in DOE course projects.

Lean and resilience in the healthcare supply chain – a scoping review

Purpose The importance of a lean health-care supply chain is increasingly discussed. However, it is still not very clear how lean practices relate to resilience capabilities, as there are synergies and divergences between them. This study aims at identifying the relationship between lean practices and resilience capabilities in the health-care supply chain. Design/methodology/approach This study conducted a scoping review based on five databases, which allowed the content analysis of 44 articles. Such analysis allowed the verification of trends and volume of studies on this topic. Further, the descriptive numerical and thematic analyses enabled the proposition of a conceptual framework, relating the adoption of lean practices to the development of resilience capabilities according to the tiers of the health-care supply chain in different value streams. Findings Three research directions were derived from this scoping review: empirical validation of the contribution of lean practices to resilience capabilities in the health-care supply chain; systemic implementation of lean practices across tier levels of the health-care supply chain; and complementary approaches to lean implementation toward a more resilient health-care supply chain. Practical implications The understanding of these relationships provides health-care managers arguments to prioritize the application of lean practices to improve desired resilience capabilities in the entire health-care supply chain. Originality/value To the best of the authors’ knowledge, there is no similar study in the literature.

Toward a holistic understanding of performance in Lean Manufacturing: a discussion on the relevance of its indicators

Purpose This study aims to propose a novel approach to select and prioritize performance indicators in Lean Manufacturing depending on whether they are influencing or being influenced by others, thereby assisting in the decision-making process for improving overall performance. Design/methodology/approach The methodology comprises two stages. First, a literature review was conducted to identify the performance indicators, and then their interrelationships were analyzed by means of the decision-making trial and evaluation laboratory (DEMATEL) multi-criteria decision-making (MCDM) method. Findings The results provide a comprehensive visualization of the performance indicators in Lean Manufacturing, with a total of 50 identified indicators. Among these, 29 were categorized as causal, meaning that their results mainly influence the others, and 21 as influenced, with their results mostly being influenced by others. Among the causal indicators, those related to the human factor (eight indicators) were the most predominant. However, the most-cited performance families in the literature do not stand out as being causal, but rather as mostly influenced. Practical implications This study can help managers improve and analyze performance more effectively, while focusing on the importance of choosing causal over influenced indicators. Originality/value Performance measurement plays a crucial role for organizations, but because of the increasing number of metrics, there lacks an established framework. This exploratory study thus opens the discussion on relevance to determine a group of coherent and connected indicators that could help measure performance in a more comprehensive manner, rather than in several isolated parts.

Improving access to frontline psychosocial services for youths in difficulty by using LSS: an action research case study

Purpose This study aims to improve accessibility to frontline psychological services for youths in difficulty. In the province of Quebec, Canada, the first significant intervention must take place within 30 days for at least 75% of the clients. Achieving this target is challenging. This was observed in the Youth Programme of a health-care network in Montreal (Centre Intégré (Universitaire) de la Santé et des Services Sociaux Centre-Sud-de-l’île-de-Montréal). Design/methodology/approach Lean Six Sigma (LSS) approach within the Action Research methodology was used. Define, Measure, Analyse, Innovate, Implement and Control structure combined with Lean techniques and a Kaizen event were implemented. Findings In total 69% of the clients have now had their first intervention within 30 days and 91% within 60 days. Improving accessibility to frontline services led to improving accessibility to second-line services. Communicating performance objectives to employees led to increasing their awareness about the importance of performance assessment and their willingness to contribute to improvement. The Kaizen event was a driving force that enabled more collaboration and trust. The participation of a partner-client in the Kaizen helped finding client-centred solutions. The large number of participants in the Kaizen added complexity. Research limitations/implications It was difficult to sort and rank a large number of solutions during the Kaizen. The impact of hiring additional employees has not been investigated. Despite the significant improvements, the targets were not achieved. More research is required to identify more accurately critical factors that have a major impact on the success of LSS projects involving complex processes. Originality/value This study contributes to the body of knowledge in Lean health care. It describes Lean tools/techniques used, solution implementation and improvements achieved in a real context. 10 success factors and 4 challenges were identified. The study provides a model for other organizations for developing their own roadmap to improve accessibility to their services, notably in large and complex processes.

Exploring relationships for integrating lean, environmental sustainability and industry 4.0

Purpose This paper aims to thoroughly identify the forms of integration between Lean, Industry 4.0 (I4.0) and environmental sustainability (ES) by examining the relationships between these three constructs, deepening understanding surrounding the theme and evolving the construction of a framework that can aid managing industrial production processes. Design/methodology/approach A systematic literature review (SLR) was the method used to identify the relationships for integration in the current literature. The SLR was supported by content and cluster analysis. The analyzes identified relationships at two levels. The first level observed relationships for constructs and variables. The second, at the level of constructs and components, which detail the variables. This study also proposes an integrated conceptual framework showing these relationships at the construct, variable and component levels. Findings The results show how these three constructs are related and the study concludes by stating that there is stronger integration among I4.0 technologies and Lean practices for reaching ES. The SLR identified the main components that allowed for this integration, i.e. I4.0 technologies, Big Data, the internet of things and Lean practices, like reducing waste and customer needs. Practical implications From an academic standpoint, this study proposes new lines of research lines that have not been explored thus far, and can be developed via empirical studies, at the strategic and operational levels among different industrial sectors. Also, this study can help managers understand the integrations between Lean practices and I4.0 technologies to achieve better operational and environmental organizational results. Originality/value To the best of the knowledge, this study is the first of its kind using SLR to integrate Lean approaches, ES and I4.0 and to propose a unified framework to help managers and academics understand these relationships.

A relationship between bias, lean tools, and waste

Purpose This study aims to highlight the system-wide potential relationships between forms of human bias, selected Lean tools and types of waste in a manufacturing process. Design/methodology/approach A longitudinal single-site ethnographic case study using digital processing to make a material receiving process Lean was adopted. An inherent knowledge process with internal stakeholders in a stimulated situation alongside process requirements was performed to achieve quality data collection. The results of the narrative analysis and process observation, combined with a literature review identified widely used Lean tools, wastes and biases that produced a model for the relationships. Findings The study established the relationships between bias, Lean tools and wastes which enabled 97.6% error reduction, improved on-time accounting and eliminated three working hours per day. These savings resulted in seven employees being redeployed to new areas with delivery time for products reduced by seven days. Research limitations/implications The single site case study with a supporting literature survey underpinning the model would benefit from testing the model in application to different industries and locations. Practical implications Application of the model can identify potential relationships between a group of human biases, 25 Lean tools and 10 types of wastes in Lean manufacturing processes that support decision makers and line managers in productivity improvement. The model can be used to identify potential relationships between forms of human biases, Lean tools and types of wastes in Lean manufacturing processes and take suitable remedial actions. The influence of biases and the model could be used as a basis to counter implementation barriers and reduce system-wide wastes. Originality/value To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes with waste production and human biases. As part of the process, a relationship model is derived.

Addressing critical failure factors and barriers in implementing Lean Six Sigma in Italian public hospitals

Purpose During the past few decades, Lean Six Sigma (LSS) in the health-care sector has received increasing attention from both researchers and practitioners because it plays an imperative role in quality improvement and cost reduction initiatives. Although researchers have often focussed on evidence of model effectiveness through the study of performance indicators, too little attention has been given to the factors that lead to implementation failure and the causal relationships among them. This study aims to investigate the factors that may inhibit the successful implementation of the method by focussing on Italian public hospitals. Design/methodology/approach Through the use of the Delphi technique and fuzzy cognitive maps, this paper derives new and relevant results for researchers, hospital managers and policymakers. Findings The results show the factors with the greatest impact on LSS implementation and provide insight into the causal links and degrees of influence between critical failure factors and performance variables. Practical implications The findings could be considered useful, in particular, to hospital managers and policymakers, who could leverage the suggestions derived from the study to address LSS implementation. Originality/value This work overcomes a gap in the literature related to the absence of studies on the causal relationships between factors that determine the success or failure of LSS implementation.

Transportation performance improvement through lean thinking implementation

Purpose The application of lean thinking in the transportation industry provides opportunities to streamline operations with a value-added orientation. Prior literature shows evidence of limited application of lean thinking in the transportation operations of the pharmaceutical industry. This study aims to close this research gap by investigating the application of lean thinking for improving pharmaceutical transportation performance. Design/methodology/approach This study conducted an action research approach at an Indonesian pharmaceutical distribution company. One cycle in one year was analyzed; empirical data were collected and analyzed through direct observations, interviews and the study of company data and documentation. Findings The application of lean thinking in waste elimination allowed the delivered project to achieve a remarkable 40% reduction in overall transportation costs, 75% reduction in total lead time, 200% improvement in truck productivity and 100% improvement in truckload capacity utilization. Practical implications This study can guide the pharmaceutical industry toward achieving excellence in transportation operations through lean thinking implementation. Originality/value There has been limited research on this topic, and this study is the first attempt to generate new and significant evidence of a real-life application of lean thinking within the field of pharmaceutical transportation.

Examining of the effect of HRM in mitigating negative effects of LM&SS on employee well-being in health care

Purpose This study aims to examine the effect of human resource management (HRM) in mitigating negative effects of Lean management and Six Sigma (LM&SS) on employee well-being in health care. The authors subdivide well-being into three components: happiness, trust and health. Design/methodology/approach This is a cross-sectional, multisite survey study in internal service units of hospitals. Data analyzed using multivariate regression come from a sample of 1,886 survey respondents (42 units, N = 218 supervisors, N = 1,668 employees) in eight Dutch academic hospitals that have implemented LM&SS. Findings The present study findings show no or weak effects of LM&SS on the happiness and health component of employee well-being. In addition, the authors found a significant but weak direct positive effect (ß = 0.07) of the LM&SS bundle on the trusting relationships component of well-being. Therefore, moderating effects of HRM practices on the relationship between LM&SS and employee well-being seem less relevant because an existing relationship between LM&SS and employee well-being is a prerequisite for moderation (Hayes, 2009). There were unexpected side effects. Inspired by research that discusses direct effects of HRM on employee well-being, the authors tested this relationship and found that HRM has a direct positive effect on trust and happiness of employees in health care. For the health component of well-being, the present results show a weak negative effect of HRM. Practical implications This study results in a cautiously optimistic view about LM&SS in health care, provided that it is applied in a targeted manner (to improve the performance of their processes) and that HRM is strategically aligned with the goals of LM&SS to improve employees’ happiness and trusting relationships. Originality/value Unique features of the study are the focus on the consequences for employees’ well-being related to LM&SS in health care, the role of HRM in regard to this relationship and the participation of all eight Dutch academic hospitals in this research.

Lean six sigma through an Australasian lens: project definition, structure and practices

Purpose 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. Design/methodology/approach In-depth investigation through case studies – 12 Australian/New Zealand cases and 4 US cases – on the implementation mechanisms of successful LSS initiatives. Findings 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. Research limitations/implications Sufficient uniformity of LSS was found across two regions implying its usefulness/generalizability, but the findings are based only on 12 cases. Originality/value The paper provides the groundwork to develop a unique LSS model for Australasian organizations to improve processes in an effective and efficient manner.