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Output from the Irish Dairy Industry has grown rapidly since the abolition of quotas in 2015, with processors investing heavily in capacity expansion to deal with the extra milk volumes. Further capacity gains may be achieved by extending the processing season into the winter, a key enabler for which being the reduction of duration of the winter maintenance overhaul period. This paper aims to investigate if Lean Six Sigma tools and techniques can be used to enhance operational maintenance performance, thereby releasing additional processing capacity.

Combining the Six-Sigma Define, Measure, Analyse, Improve, Control (DMAIC) methodology and the structured approach of Turnaround Maintenance (TAM) widely used in process industries creates a novel hybrid model that promises substantial improvement in maintenance overhaul execution. This paper presents a case study applying the DMAIC/TAM model to Ireland’s largest dairy processing site to optimise the annual maintenance shutdown. The objective was to deliver a 30% reduction in the duration of the overhaul, enabling an extension of the processing season.

Application of the DMAIC/TAM hybrid resulted in process enhancements, employee engagement and a clear roadmap for the operations team. Project goals were delivered, and original objectives exceeded, resulting in €8.9m additional value to the business and a reduction of 36% in the duration of the overhaul.

The results demonstrate that the model provides a structure that promotes systematic working and a continuous improvement focus that can have substantial benefits for wider industry. Opportunities for further model refinement were identified and will enhance performance in subsequent overhauls.

To the best of the authors’ knowledge, this is the first time that the structure and tools of DMAIC and TAM have been combined into a hybrid methodology and applied in an Irish industrial setting.

Body weight has a long history of functioning as a symbol of one’s beauty, social status, morality, discipline, and health. It has also been a standard inflicted much more intensely on women than men. While US culture has long idealized thinness for women, even at risky extremes, there is growing evidence that weight standards are broadening. Larger bodies are becoming more visible and accepted, while desire for and approval of a thin ideal has diminished. However, the continued widespread prevalence of anti-fat attitudes and stigma leaves uncertainty about just how much weight standards are changing. This study used an online survey (n = 320) to directly compare evaluations of thin, fat, and average size women through measures of negative stereotypes, prejudicial attitudes, and perceptions about quality of life. Results indicated that, as hypothesized, thin women were perceived less favorably than average weight women. However, fat women were perceived less favorably than both average and thin women. Men were harsher than women in their evaluations of only fat women. Additionally, participants being underweight or overweight did not produce an ingroup bias in their evaluations of underweight and overweight targets, respectively. That is, participants did not rate their own group more favorably, with the exception of overweight participants having lower prejudice toward overweight targets. These findings add to the emerging evidence that women’s weight standards are in transition, marked by an increasingly negative perception of thin women, though not necessarily growing positivity toward fat women. This evidence further points toward the need for more extensive research on attitudes of people across the entire weight spectrum.

The final chapter of this book captures a diverse range of case studies across teaching and learning and campus stewardship. The five case studies presented here add illustrative insights of global actions, following on from the four case studies presented within previous chapters. These contributions provide compelling and practical insights into how Higher Education Institutions (HEIs) are broadly addressing SDG2 through student competitions in the first section, and curriculum approaches in subject areas in which ‘food’ and ‘hunger’ might not be expected in the second section. The final section of cases further explores HEIs’ approaches to food security through both a curriculum lens and a student-led campus project. It is a fitting way to close the book since the cases collectively illustrate the potential contribution that any student and/or educator might make to raising awareness of and action towards achieving zero hunger and SDG2.

In job ads, employers express demand for personality traits when seeking workers to perform tasks that can be completed with different behaviors (e.g., communication, problem-solving) but not when seeking workers to perform tasks involving narrowly prescribed sets of behaviors such as routine and mathematics tasks. For many tasks, employers appear to demand narrower personality traits than those measured at the Big Five factor level. The job ads also exhibit substantial heterogeneity within occupations in the tasks mentioned. Workers may thus sort based on personality-derived comparative advantages in tasks into jobs rather than occupations. In the National Longitudinal Survey of Youth 1997, we confirm that personality sorting based on tasks occurs at both the occupation and job levels. In this sample, however, there is little evidence of task-specific wage returns to personality traits, which would influence the supply of traits to jobs with particular tasks. This may explain why personality sorting based on tasks in the sample is very limited in spite of the correlations between tasks and employers' demands for traits.

This chapter describes the possibilities for fusing ethnography and evaluation to transform educational inquiry and educational entities (programs, systems, and policies). The central question explored is, how do we best pursue work connecting evaluation and ethnography to fulfill our commitments to diversity, justice, and cultural responsiveness in educational spaces, to make tangible transformative change? With 40 years of literature on ethnography-evaluation connections as a foundation, this chapter describes three coalescing themes: transformative, intersectional, and comparative. These themes are proposed as valuable for guiding contemporary educational inquiry that serves social justice. The transformative theme denotes educational inquiry in which the researcher or evaluator ethically collects data, makes defensible interpretations, and facilitates social change in collaboration with others. Doing transformative work that meaningfully fuses ethnography and evaluation rests on essential factors like time, values engagement, collaboration, and self-work. The intersectional theme describes intersectionality as an evolving analytical framework that promotes social problem-solving and learning via investigating the significance of intersecting social identities in (a) how people's lives are shaped, (b) their access to power across circumstances, and (c) their everyday experiences of subordination and discrimination. Finally, the comparative theme refers to sensibilities and practices gleaned from the interdisciplinary and transnational field of comparative education, including developing comparative cultural understanding and analyzing complex systems in one's inquiry projects. Across themes, this chapter emphasizes positionality, responsibility, and theory-bridging to make sense of the uses of ethnographic concepts and practices in transformative evaluation work in educational spaces.

Recognizing construction workers' activities is critical for on-site performance and safety management. Thus, this study presents the potential of automatically recognizing construction workers' actions from activations of the erector spinae muscles.

A lab study was conducted wherein the participants (n = 10) performed rebar task, which involved placing and tying subtasks, with and without a wearable robot (exoskeleton). Trunk muscle activations for both conditions were trained with nine well-established supervised machine learning algorithms. Hold-out validation was carried out, and the performance of the models was evaluated using accuracy, precision, recall and F1 score.

Results indicate that classification models performed well for both experimental conditions with support vector machine, achieving the highest accuracy of 83.8% for the “exoskeleton” condition and 74.1% for the “without exoskeleton” condition.

The study paves the way for the development of smart wearable robotic technology which can augment itself based on the tasks performed by the construction workers.

This study contributes to the research on construction workers' action recognition using trunk muscle activity. Most of the human actions are largely performed with hands, and the advancements in ergonomic research have provided evidence for relationship between trunk muscles and the movements of hands. This relationship has not been explored for action recognition of construction workers, which is a gap in literature that this study attempts to address.

The purpose of this study is to (1) identify the factors that affect the adoption of virtual reality (VR) for spectator sports, (2) examine the differences in the factors among the four adopter categories (i.e. continuers, discontinuers, potentials and resistors) and (3) determine whether these factors are useful for discriminating among the adopter categories, based on the “diffusion of innovation” and “uses and gratification” theories.

In total, 216 participants were included in the analysis. Logistic regression and multiple analyses of variance were conducted to identify the factors that affect the adoption of VRS and examine the differences in the factors between adopter and non-adopter as well as between the continuers, discontinuers, potentials and resistors.

This study found that actualized innovativeness, complexity, companionship and gender significantly affect user adoption of VR for spectator sports. There were significant differences in the factors among the four adopter categories. The factors were also useful in discriminating between the four adopter categories.

This study highlights how individuals embrace emerging technologies differently based on their adopter category characteristics. From a marketing perspective, the insights gained from this study can inform the development of targeted strategies, campaigns and user experiences for VR spectator sports (VRS). This approach promises new revenue streams for the spectator sport industry and offers solutions to challenges like declining viewership and digital marginalization. It underscores the potential success of VR technology in transforming the spectator sport industry.