Richard Iyede, Enda Francis Fallon and Pat Donnellan
The purpose of this paper is to explore the extent of Lean Six Sigma (LSS) implementation within manufacturing companies in the West of Ireland. It examines the key success and…
Abstract
Purpose
The purpose of this paper is to explore the extent of Lean Six Sigma (LSS) implementation within manufacturing companies in the West of Ireland. It examines the key success and failure factors, benefits and quality tools influencing LSS projects deployment.
Design/methodology/approach
The study adopted a mixed research method (quantitative and qualitative approach). Research data were collected through a structured survey questionnaire to the target population followed by interview case studies with four manufacturing companies to gather additional insight. The targeted respondents were manufacturing engineers, quality engineers, process improvement managers, operations managers, R&D engineers, LSS experts and validation engineers.
Findings
LSS initiatives are still relatively unknown to many SMEs organisations, whereas large companies have adopted LSS for some time. Top management commitment, understanding the LSS methodology, tools and techniques, integrating LSS to business strategy, organisational cultural change and training and education were the topmost key success factors. Organisational strategy, lack of top management support, expensive cost for LSS projects, unclear prioritisation of LSS projects and cost effectiveness were the most important failure factors influencing LSS implementation.
Originality/value
This research is the original work provided by the author and is expected to address the shortcomings of both SMEs and large organisations in the West of Ireland. The recommendations and frameworks reported in this paper can be used by manufacturing and service companies in Ireland for efficiency, competitiveness and continuous improvement.
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Few issues in recent times have so provoked debate and dissention within the library field as has the concept of fees for user services. The issue has aroused the passions of our…
Abstract
Few issues in recent times have so provoked debate and dissention within the library field as has the concept of fees for user services. The issue has aroused the passions of our profession precisely because its roots and implications extend far beyond the confines of just one service discipline. Its reflection is mirrored in national debates about the proper spheres of the public and private sectors—in matters of information generation and distribution, certainly, but in a host of other social ramifications as well, amounting virtually to a debate about the most basic values which we have long assumed to constitute the very framework of our democratic and humanistic society.
Chris G. Collins and Pauline Joyce
The purpose of this paper is to summarise the recent debates and issues on the healthcare system in Ireland, which have come to the fore through media exposure. The implications…
Abstract
Purpose
The purpose of this paper is to summarise the recent debates and issues on the healthcare system in Ireland, which have come to the fore through media exposure. The implications for these debates on quality are suggested and questions are raised to stimulate further debate.
Design/methodology/approach
Recent reports and media opinion articles are reviewed in the light of the health reform programme and the increased prosperity due to the Celtic Tiger era in Ireland.
Findings
The Health Service in Ireland is not what it should be. Progress has been made but resistance at all levels is significant due to the mistrust and miscommunication between the managerial and clinical personnel which have built up during the past number of years. The trust of the public is at an all‐time low. However, once patients are within the system they are satisfied with their care.
Originality/value
This is a discussion paper which raises more questions than answers and is timely with the focus on quality in healthcare, particularly now as Ireland prepares for a general election for a new government with healthcare a priority issue.
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S B Kotsiantis and P E Pintelas
Machine Learning algorithms fed with data sets which include information such as attendance data, test scores and other student information can provide tutors with powerful tools…
Abstract
Machine Learning algorithms fed with data sets which include information such as attendance data, test scores and other student information can provide tutors with powerful tools for decision‐making. Until now, much of the research has been limited to the relation between single variables and student performance. Combining multiple variables as possible predictors of dropout has generally been overlooked. The aim of this work is to present a high level architecture and a case study for a prototype machine learning tool which can automatically recognize dropout‐prone students in university level distance learning classes. Tracking student progress is a time‐consuming job which can be handled automatically by such a tool. While the tutors will still have an essential role in monitoring and evaluating student progress, the tool can compile the data required for reasonable and efficient monitoring. What is more, the application of the tool is not restricted to predicting drop‐out prone students: it can be also used for the prediction of students’ marks, for the prediction of how many students will submit a written assignment, etc. It can also help tutors explore data and build models for prediction, forecasting and classification. Finally, the underlying architecture is independent of the data set and as such it can be used to develop other similar tools