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The purpose of this paper is to present the findings of a recent study conducted with the objective of addressing the problem of failure of baggage carts in the high-speed baggage tunnel at Heathrow Terminal 5 by the development of an innovative condition-based maintenance (CBM) system designed to meet the requirements of 21st century airport systems and Industry 4.0.

An empirical experimental approach to this action research was taken to install a vibration condition monitoring pilot test in the north tunnel at Terminal 5. Vibration data were collected over a 6-month period and analysed to find the threshold of good quality tyres and those with worn bearings that needed replacement. The results were compared with existing measures to demonstrate that vibration monitoring could be used as a predictive model for CBM.

The findings demonstrated a clear trend of increasing vibration velocity with age and use of the baggage cart wheels caused by wheel mass unbalanced inertia that was transmitted to the tracks as vibration. As a result, preventative maintenance is essential to ensure the smooth running of airport baggage. This research demonstrates that a healthy wheel produces vibration of under 60 mm/s whereas a damaged wheel measures up to 100 mm/s peak to peak velocity and this can be used in real-time condition monitoring to prevent baggage cart failure. It can also run as an autonomous system linked to AI and Industry 4.0 airport logic.

Whilst vibration monitoring has been used to measure movement in static structures such as bridges and used in rotating machinery such as railway wheels (Tondon and Choudhury, 1999); this is unique as it is the first time it has been applied on a stationary structure (tracks) carrying high-speed rotating machinery (baggage cart wheels). This technique has been patented and proven in the pilot study and is in the process of being rolled out to all Heathrow terminal connection tunnels. It has implications for all other airports worldwide and, with new economic sensors, to other applications that rely on moving conveyor belts.

Ward rounds in hospitals are crucial for decision-making in the context of patient treatment processes. However, these tasks are not systematically managed and are often extended due to missing information or equipment or staff unavailability. This research aims to assess whether ward rounds can be structured more efficiently and effectively from the perspective of patients and staff.

This mixed-method approach examines the ward rounds conducted in three units within a haematology department of a major Danish hospital. Baseline measures were collected to capture the value of the ward round described by patients and staff. The information on patient and equipment flows associated with a typical ward round was mapped with recommendations for improvement.

Staff aspired to deliver a good-quality ward round, but what this meant was never articulated and there were no established standards. The duration of the ward round was unpredictable and could take 6 hours to complete. Improvements identified by the team allow the ward rounds to be completed by mid-day with much more certainty.

This research provides an insight as to how ward rounds are conducted within a Danish haematology department.

The research has implications for those involved in ward rounds to reduce the time taken whilst maintaining quality and safety of patient care.

This research has implications for patients and their families who wish to spend time with consultants.

Previous research has focused on the interactions between doctors and nurses. This research focuses on the operational process of the ward round and presents a structured approach to support multi-disciplinary teams with a focus on value from the patient’s perspective.

Voluntary participation, feedback loops, rules and goals are key elements of total quality management (TQM). The purpose of this paper is to determine if these four elements which make TQM successful are the same elements that make computer games successful. If this is the case, what are the implications for developers of Human Computer Interfaces (HCI) in Industry 4.0.

This paper is a systematic literature review of recent literature on engagement in games and user experiences and HCI design for industry followed by interpretation of the literature. The findings from the literature review are analysed and compared to TQM.

Good game design and TQM share four key components: goals, rules, a feedback system (including rewards) and voluntary participation. There is an opportunity for HCI developers to use a user experience lens inherent in games evolution and to expand on the design and motivational elements that have made games and TQM successful at motivating and engaging. Kuutti’s (1995) proposal of activity theory puts forward a promising framework for making systems engaging. There are positive implications merging good games design and TQM in socio-technic systems which could improve engagement and quality in companies implementing in Industy 4.0.

The implications of achieving increased engagement in HCI systems similar to those seen in companies that have successfully implemented TQM could lead to greater productivity in companies operating in the highly technical environments of Industry 4.0.

The originality of this paper is threefold: first, a description of the origins in industry of voluntary participation, feedback loops, rules and goals and their relationship to TQM; second, a systematic literature review of the same elements in computer games design; and third, the implications for developers of HCI systems in Industry 4.0.

The purpose of this paper is to present the findings of a recent study conducted with the objective of addressing the problem of failure of baggage carts in the high-speed baggage tunnel at Heathrow Terminal 5 by the development of an innovative condition-based maintenance system designed to meet the requirements of twenty-first century airport systems and Industry 4.0.

An empirical experimental approach to this action research was taken to install a vibration condition monitoring pilot test in the north tunnel at Terminal 5. Vibration data were collected over a 6-month period and analysed to find the threshold of good quality tires and those with worn bearings that needed replacement. The results were compared with existing measures to demonstrate that vibration monitoring could be used as a predictive model for condition-based maintenance.

The findings demonstrated a clear trend of increasing vibration velocity with age and use of the baggage cart wheels caused by wheel mass unbalanced inertia that was transmitted to the tracks as vibration. As a result, preventative maintenance is essential to ensure the smooth running of airport baggage. This research demonstrates that a healthy wheel produces vibration of under 60 mm/s whereas a damaged wheel measures up to 100 mm/s peak-to-peak velocity and this can be used in real-time condition monitoring to prevent baggage cart failure. It can also run as an autonomous system linked to AI and Industry 4.0 airport logic.

Whilst vibration monitoring has been used to measure movement in static structures such as bridges and used in rotating machinery such as railway wheels (Tondon and Choudhury, 1999) this is unique as it is the first time it has been applied on a stationary structure (tracks) carrying high-speed rotating machinery (baggage cart wheels). This technique has been patented and proven in the pilot study and is in the process of being rolled out to all Heathrow terminal connection tunnels. It has implications for all other airports world-wide and, with new economic sensors, to other applications that rely on moving conveyor belts.

The purpose of this paper is to assess failure demand as a lean concept that assists in waste analysis during quality improvement activity. The authors assess whether the concept’s limited use is a missed opportunity to help us understand improvement priorities, given that a UK Government requirement for public service managers to report failure demand has been removed.

The authors look at the literature across the public sector and then apply the failure demand concept to the UK’s primary healthcare system. The UK National Health Service (NHS) demand data are analysed and the impact on patient care is elicited from patient interviews.

The study highlighted the concept’s value, showing how primary care systems often generate failure demand partly owing to existing demand and capacity management practices. This demand is deflected to other systems, such as the accident and emergency department, with a considerable detrimental impact on patient experience.

More research is needed to fully understand how best to exploit the failure demand concept within wider healthcare as there are many potential barriers to its appropriate and successful application.

The authors highlight three practical barriers to using failure demand: first, demand within the healthcare system is poorly understood; second, systems improvement understanding is limited; and third, need to apply the concept for improvement and not just for reporting purposes.

The authors provide an objective and independent insight into failure demand that has not previously been seen in the academic literature, specifically in relation to primary healthcare.

In the age of Industry 4.0, digital advancement is reshaping manufacturing models towards product–service systems (PSS). The drivers, readiness and challenges to move to a PSS model are not well understood, and the exploitation of the digital era presents the gap of this research.

The research was conducted using semi-structured interviews in six manufacturers. Two forum debates were also conducted to supplement and validate the findings.

Social and economic motivations rather than environmental considerations were driving the change to PSS. Digital technologies could be an important driver if manufacturers reached a certain PSS maturity level. A high level of technical readiness was offset by a low level of social investments and the strategic development of human resources. Value co-creation was a main challenge though manufacturers had the advantage of digital connectivity, which indicated new human requirements; the greater the enabling power of digital technologies, the greater the need for advanced human skills.

Human resource management has underpinned lean models; yet, the role of employees within PSS is underdeveloped despite the impact of staff in exploiting digitalisation and value co-creation. A “learning organisation” and socio-technical fit are required for the “diffusion of innovation” of PSS.

This research attempted to explore drivers, readiness and challenges for PSS from a socio-technical systems (STS) perspective. Three levels of PSS maturity with STS features were derived from the research, providing guidance for manufacturers.

Innovation is a growing topic. The primary sector is also a subject that has great importance in the global economy. However, limited research has been conducted linking these two subjects. This paper aims to start bringing them together.

The method selected is a systematic literature review presenting a thorough analysis of the existing discussions and a summary of the findings to identify future research opportunities.

Innovation has played and will continue to play an essential role in the success of fisheries. The fishing industry is in crisis. A decline in wild fish stocks, regulations and quota management are some of the factors that drive the need to innovate. The discussions of innovation in this industry are non-technological, which is an emerging field with opportunities for further research. There is a strong focus on fisheries sustainability. The main theoretical frameworks discussed in the literature are common property theory, cooperation and competition theory and diffusion of innovation. Emerging environmental sustainability frameworks are also becoming an essential element in the primary sector.

This paper focuses on peer-reviewed publications based on the results of the searches from selected keywords, recognizing that the literature evaluated may not cover the full spectrum of themes related to this subject.

Innovation is usually linked to high tech and fast-moving industries. This paper tries to broaden this paradigm and evaluate it from a different perspective, with a focus on the primary sector.

Corona Virus Disease (Covid-19) is a global pandemic that emerged at the end of 2019 and caused disruptions in global supply chains, particularly in the food supply chains that exposed the vulnerability of today’s food supply chain in a major disruption which provided a unique research opportunity. This review explores the current research direction for food supply chain resilience and identifies gaps for future research in preparing for future major global pandemics.

This article presents a review of food supply chain resilience followed a systematic literature review of the business and management-based studies related to the food supply chain in Covid-19 published between December 2019 and December 2021 to identify the immediate issues and responses that need to be addressed in the event of future disruptions in food supply chains due to new global health threats.

The study revealed the need for more literature on food supply chain resilience, particularly resilience to a major global pandemic. The study also uncovered the sequence of events in a major pandemic and identified some strategies for building resilience to potential future risks of such an event.

The limitations of this study are apparent. Firstly, the selection of databases is not comprehensive. Due to time limitations, authoritative publishers such as Springer, Emerald, Wiley and Taylor & Francis were not selected. Secondly, a single author completed the literature quality testing and text analysis, possibly reducing the credibility of the results due to subjective bias. Thirdly, the selected literature are the studies published during the immediate event of Covid-19, and before January 2022, other research studies may have been completed but were still in the state of auditing at this time.

This paper is the first study that provides a detailed classification of the immediate challenges to the food supply chain faced in both upstream and downstream nodes during a major global disruption. For researchers, this clearly shows the immediate difficulties faced at each node of the food supply chain, which provides research topics for future studies.

The purpose of this paper is to explore the interface between Lean strategy and organisational transformation by scrutinising the literature on why Lean strategies fail to be implemented and/or sustained.

As a conceptual and research paper, it develops a hypothesis. It encompasses philosophical discussions and comparative studies of others’ work and Lean thinking alongside its links to the principles, ideology, philosophy and underpinning values. The search involved a total of 1,931 articles spanning across 75 different journals. The content analysis approach suggested by Mayring (2004) was selected.

Successfully implementing Lean is more complex than often recognized within the literature, and the alignment between strategy and organisational transformation is repeatedly not undertaken. The investigation indicates policymakers need to view Lean as an ideology and not simply another process.

This paper addresses the inaccurate representation in the concept of Lean as a strategy. While a major evolution has occurred comprising the inputs perceived as imperative for Lean success, a translucent empathy of its philosophy alongside an acknowledgement of the magnitude of the change and transformation necessary has been comparatively perplexing. This paper has implications for academic scholars of strategy and organisational change, as well as for practitioners seeking to implement organisational change.

Empirical evidence suggests that most Lean strategies struggle. Customers are becoming more demanding, markets are becoming more customised, and product life-cycles getting shorter are dictating that Lean needs to be embraced as an ideology.

The aim of this paper is to develop a contribution to knowledge that adds to the empirical evidence of predictive condition-based maintenance by demonstrating how the availability and reliability of current assets can be improved without costly capital investment, resulting in overall system performance improvements

The empirical, experimental approach, technical action research (TAR), was designed to study a major Middle Eastern airport baggage handling operation. A predictive condition-based maintenance prototype station was installed to monitor the condition of a highly complex system of static and moving assets.

The research provides evidence that the performance frontier for airport baggage handling systems can be improved using automated dynamic monitoring of the vibration and digital image data on baggage trays as they pass a service station. The introduction of low-end innovation, which combines advanced technology and low-cost hardware, reduced asset failures in this complex, high-speed operating environment.

The originality derives from the application of existing hardware with the combination of edge and cloud computing software through architectural innovation, resulting in adaptations to an existing baggage handling system within the context of a time-critical logistics system.