Christos Emmanouilidis

University of Groningen | RUG · Faculty of Economics and Business

Methods for socially-aware robot path planning are increasingly needed as robots and humans increasingly coexist in shared industrial spaces. The practice of clearly separated zones for humans and robots in shop floors is transitioning towards spaces where both humans and robot operate, often collaboratively. To allow for safer and more efficient m...

In Industry 5.0, worker well-being is paramount for organizational resilience and sustainability. Physical fatigue, work-life balance, and job competency significantly impact worker welfare and, therefore, efficiency and effectiveness. This study collects data in different industrial scenarios using non-invasive wearable devices for dynamic data an...

In Industry 5.0, worker well-being is paramount for organizational resilience and sustainability. Physical fatigue, work-life balance, and job competency significantly impact worker welfare and, therefore, efficiency and effectiveness. This study collects data in different industrial scenarios using non-invasive wearable devices for dynamic data an...

Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in robotics and artificial intelligence open new frontiers of human-machine collaboration. Such collaboration can be realized considering two sub-fields of artificial intel...

Industrial Augmented Reality (IAR) gains more traction as a means of improving and enabling human-centric manufacturing operations. IAR does not replace the human operator but rather it promotes a human-centric work system design that empowers users to perform their tasks more easily and effectively. While usability of IAR solutions improved over t...

Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in robotics and artificial intelligence open new frontiers of human-machine collaboration. In this chapter, we first describe Industry 5.0, human-machine collaboration, and...

Wheel slip activity detection is crucial in railway maintenance, as it can contribute to avoiding wheel damage but also track deteriorations leading to significant maintenance costs, trains delays, as well as the risk of accidents. Wheel slip activity is characterised by lower adhesion between track and wheel, especially in braking conditions, lock...

The adoption of the Circular Economy paradigm by industry leads to increased responsibility of manufacturing to ensure a holistic awareness of the environmental impact of its operations. In mitigating negative effects in the environment, current maintenance practice must be considered for its potential contribution to a more sustainable lifecycle f...

A digitally enabled environment includes sensors coupled with reporting and analytics tools for understanding, observing or managing that environment. Large scale data collection and analysis are a part of the emerging digitally enabled approach to characterise and understand our environment. It is recognised as offering an effective methodology fo...

The integration of AI-enabled solutions in manufacturing is creating unprecedented challenges to design human-centric, safe and trusted systems. As opposed to designing a system with as little human input as possible, humans will still be expected to continue playing a vital role in the design, operation, and control of AI supported manufacturing s...

In this paper, a model-based decision-making framework for the design of localized networked production systems under largescale disruptions is developed. The framework consists of optimization and agent-based simulation models that run successively in an iterative manner, gradually improving the performance of the perceived system. The framework i...

The integration of Artificial Intelligence (AI) in manufacturing is often pursued as technology push. In contrast, this paper looks upon the AI-human interaction from a viewpoint that considers both to play an important role in reshaping their individual capabilities. It specifically focuses on how humans can play an important role in enhancing AI...

In this paper, a decision-making framework for the design of redistributed manufacturing (RdM) networks is developed. Redistributed manufacturing, a manufacturing paradigm greatly empowered by the Industry 4.0 toolset, is the shift in production towards geographically dispersed interconnected facilities. The framework is context independent, accoun...

The growth of the Internet of Things (IoT) offers numerous opportunities for developing industrial applications such as smart grids, smart cities, smart manufacturers, etc. By utilising these opportunities, businesses engage in creating the Industrial Internet of Things (IIoT). IoT is vulnerable to hacks and, therefore, requires various techniques...

In times of large-scale crises, seemingly streamlined supply chains could become prone to unforeseen disruptions, leading to interruption in the provision of vital supplies. This could lead to severe consequences if such interruptions include vital products, such as lifesaving medical supplies or healthcare workers’ protective gear. Shortages of vi...

This paper investigates the application of modern industrial internet protocols and network architecture in manufacturing companies, from the perspectives of productivity and sustainability, framed in the fourth industrial revolution paradigm. This is achieved by delving into the existing information systems and devices, their inter-operability and...

Asset management is concerned with the management practices, technologies and tools necessary to maximize the value delivered by physical engineering assets. IoT-generated data are increasingly considered as an asset and the data asset value needs to be maximized too. However, asset-generated data in practice are often collected in non-actionable f...

The adoption of the Circular Economy paradigm by industry leads to increased responsibility of manufacturing to ensure a holistic awareness of the environmental impact of its operations. In mitigating negative effects in the environment, current maintenance practice must be considered, not just for the reduction of its own direct impact but also fo...

Food production chains have to respond to disrupted global markets and dynamic customer demands. They are coming under pressure to move from a supply to a demand-driven business model. The inherent difficulties in the lifecycle management of food products, their perishable nature, the volatility in global and regional supplier and customer markets,...

Remote monitoring services are required to meet the very high demands on availability and efficiency of industrial systems. The fast evolution of technologies associated with the deeper penetration of Internet of Things in industry creates considerable challenges for such services. These are related to the whole data lifecycle, encompassing data ac...

The realization of a higher business value in manufacturing requires optimized internal logistics systems in terms of operational performance, uptime and sustainability. This paper deals with the introduction of Internet of Things (IoT) to unlock new capabilities for enhancing the performance of intralogistics. Specifically, it introduces a design...

The adoption of the Circular Economy paradigm by industry leads to increased responsibility of manufacturing to ensure a holistic awareness of the environmental impact of its operations. In mitigating negative effects in the environment, current maintenance practice must be considered, not just for the reduction of its own direct impact but also fo...

On line change detection is a key activity in streaming analytics, which aims to determine whether the current observation in a time series marks a change point in some important characteristic of the data, given the sequence of data observed so far. It can be a challenging task when monitoring complex systems, which are generating streaming data o...

Internet of things (IoT)-generated data from industrial systems are often collected in non-actionable form, thus not directly aiding maintenance actions. Context information management is often seen as an enabler for interoperability and context-based service adaptation, acting as a mechanism for linking data with knowledge to adaptive data and ser...

The concept of a reconfigurable manufacturing system (RMS) has been introduced to enable production systems to continuously evolve and respond rapidly to unpredicted and fluctuating market environments. To achieve this goal, RMS needs to exhibit six core characteristics: modularity, integrability, scalability, diagnosability, convertibility and cus...

The opportunity to shift from corrective and preventive to data-driven Predictive Maintenance has received a significant boost with the deeper penetration of Internet of Things (IoT) technologies in industrial environments. Processing IoT generated data nonetheless creates challenges for data management and actionable data processing. One way to ha...

Learning analytics is used by some higher education institutions around the world to extract knowledge from learning data, which can be ultimately utilised to improve learning. This paper argues that in order for learning analytics to reach this aim, it has to be undertaken within a holistic knowledge management strategy of the institution. We argu...

The changing nature of manufacturing, in recent years, is evident in industry’s willingness to adopt network-connected intelligent machines in their factory development plans. A number of joint corporate/government initiatives also describe and encourage the adoption of Artificial Intelligence (AI) in the operation and management of production line...

The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the shop floor layer exposes it to additional security risks with potentially significant adverse operational impact. This article ad...

Industrial Cyber-Physical Systems have benefitted substantially from the introduction of a range of technology enablers. These include web-based and semantic computing, ubiquitous sensing, internet of things (IoT) with multi-connectivity, advanced computing architectures and digital platforms, coupled with edge or cloud side data management and ana...

Maintenance and repair activities from the perspective of OEMs are both considerable sources of revenue and expenses, particularly when part of a Product Service System (PSS). It is therefore necessary for an OEM that provides services bundled with products to ensure timely response without significant impact on cost. This paper proposes a make-to-...

With global competition and technological progress, there have been growing demands by industry for more efficiency in monitoring the health status of the manufacturing equipment in real time. Remote monitoring services in the era of Industry 4.0 are nonetheless faced some challenges such as big data’s 4V challenges (volume, velocity, variety, vera...

Learning analytics is used by some higher education institutions around the world to extract knowledge from learning data, which can be ultimately utilised to improve learning. This paper argues that in order for learning analytics to reach this aim, it has to be undertaken within a holistic knowledge management strategy of the institution. We argu...

The changing nature of manufacturing, in recent years, is evident in industries willingness to adopt network connected intelligent machines in their factory development plans. While advances in sensors and sensor fusion techniques have been significant in recent years, the possibilities brought by Internet of Things create new challenges in the sca...

Industry 4.0 entails the digitization of the shopfloor operations combining technologies such as internet of things-enabled sensing, cyber-physical systems, data analytics, augmented reality, and wearable devices and robots that transform the manufacturing environment into a workplace of human-machine interactive symbiosis. With the digitization of...

The fast evolution of technologies associated with the deeper penetration of IoT in industry creates significant opportunities but also introduces challenges for monitoring service. However, although it offers many benefits and holds many promises, substantial effort is required to manage and exploit the data generated by things. Among the key inst...

This paper outlines the base concepts, materials and methods used to develop an Industry 4.0 architecture focused on predictive maintenance, while relying on low-cost principles to be affordable by Small Manufacturing Enterprises. The result of this research work was a low-cost, easy-to-develop cyber-physical system architecture that measures the t...

This paper outlines the base concepts, materials and methods used to develop an Industry 4.0 architecture focused on predictive maintenance, while relying on low-cost principles to be affordable by Small Manufacturing Enterprises. The result of this research work was a low-cost, easy-to-develop cyber-physical system architecture that measures the t...

Link to open access article: https://authors.elsevier.com/sd/article/S0968090X18302055 National railways are typically large and complex systems. Their network infrastructure usually includes extended track sections, bridges, stations and other supporting assets. In recent years, railways have also become a data-rich environment. Railway infrastr...

Industry 4.0 has encouraged manufacturing organisations to update their systems and processes by implementing Internet of Things (IoT) technology in legacy systems to provide new services such as autonomous condition monitoring and remote maintenance. However, there is still no literature that guides in realizing the advantages and disadvantages of...

When closed loop product lifecycle management was first introduced, much effort focused on establishing ways to communicate data between different lifecycle phase activities. The concept of a smart product, able to communicate its own identity and status, had a key role to play to this end. Such a concept has further matured, benefiting from intern...

With global competition and technological progress, there have been growing demands by industry for more efficiency in monitoring the health status of the manufacturing equipment in real time. Remote monitoring services in the era of Industry 4.0 are nonetheless faced some challenges such as big data’s 4V challenges (volume, velocity, variety, vera...

Knowledge management adoption in higher education institutions is still limited. Essentially, higher education institutions have not developed their knowledge management approaches to an advanced level as opposed for instance to business and industry. The increasing use of technology in learning practices however, has brought new technology-enhance...

The digitization of manufacturing through the introduction of Industrie 4.0 technologies creates additional business opportunities and technical challenges. The integration of such technologies on legacy production machinery can upgrade them to become part of the digital and smart manufacturing environment. A typical example is that of industrial m...

Maintenance management and engineering practice has progressed to adopt approaches which aim to reach maintenance decisions not by means of pre-specified plans and recommendations but increasingly on the basis of best contextually relevant available information and knowledge, all considered against stated objectives. Different methods for automatin...

Purpose Field expertise in industry is often poorly recorded and unexploited. The purpose of this paper is to introduce a methodology and tool that incorporates a knowledge validation loop to leverage upon human-contributed field observations in industrial maintenance management. Starting from a failure mode, effects and criticality analysis (FMECA...

The use of mobile devices enables maintenance staff to gain access to information and services relevant to the task in hand in near real time and wherever some form of network access is provided. Essentially, mobile device users become mobile actors who dynamically interact with the physical environment, i.e. workplace, and supporting information s...

The objective of this paper is to provide a profound insight into important characteristics with regard to the integration of mobile technology into the area of industrial maintenance. The aspects highlighted in the paper uncover, for instance, acceptance models and best practices, as well as the financial impact of mobile technologies in the domai...

The increasingly internetworked nature of physical entities and industrial assets is the result of deeper penetration of Internet of Things technologies (IoT) in production environments. Such technologies empower physical product and asset entities to become not only production but also information actors. The physical IoT entities may thus exhibit...

Path planning for autonomous navigation remains an active research topic, ensuring safe maneuver of mobile robots in congestive environments by producing collision free trajectories. To this end, this chapter introduces the amalgamation of path planning techniques with Cellular Automata (CA) operations in order to embody analogous desired propertie...

The use of mobile devices enables maintenance staff to gain access to information and services relevant to the task in hand in near real time and wherever some form of network access is provided. Essentially, mobile device users become mobile actors who dynamically interact with the physical environment, i.e. workplace, and supporting information s...

As business conditions change rapidly, the need for integrating business and technical systems calls for novel ICT frameworks and solutions to remain concurrent in highly competitive markets. A number of problems and issues arise in this regard. In this paper, four big challenges of enterprise Information systems (EIS) are defined and discussed: (1...

Condition monitoring is increasingly benefitting from the application of emerging technologies, such as mobile computing and wireless sensors, including photonics sensors. The latter can be applicable to diverse application needs, due to their versatility, low costs, installation and operational flexibility, as well as unique safety and reliable op...

The more the robotics technology tends to get established in human everyday life, the greater the necessity for robots to obtain social skills, facilitating their presence and behavior among humans. In order for robots to attain socially-aware characteristics, their navigation strategy should comply with a set of certain criteria, such as the respe...

This paper proposes a novel methodology for place categorization in mobile robots based on the presence of objects. In order to achieve such categorization, the robot is equipped with an RGB-D sensor. For a given time interval the sensor's measurements are combined with robot's localization data and reconstruct the 3D scene from the respective poin...

The human response time to events in a manufacturing environment depends both on the available skills and competencies of technical staff but also on the extent to which actionable and task-relevant content is readily available when and where is needed. Relevance itself is determined by the task situation context, which in turn is influenced by man...

During the past few years industrial predictive maintenance has benefited from new developments in hardware and software systems. A key conclusion is that to maximize results, these systems need to be smarter with learning capabilities. Moreover, wireless sensor networks have led to a new revolution in the field of e-maintenance, offering new possi...

Acting upon the data involved in typical diagnostics and prognostics tasks is often confounded by the complexity of the corresponding situation and needs to take into account domain-specific or even installation-specific knowledge considerations. While domain knowledge is often captured in various forms, such as is typically done in Fault Modes, Ef...

The adoption of smart specialisation as an ex ante conditionality for funding research and innovation actions by the Structural Funds imposes a structured approach to shape up regional innovation strategies. Although the basic elements for supporting the definition of a targeted regional innovation strategy have been individually present in past ef...

This application paper presents myVisitPlanner GR, an intelligent web-based system aiming at making recommendations that help visitors and residents of the region of Northern Greece to plan their leisure, cultural and other activities during their stay in this area. The system encompasses a rich ontology of activities, categorized across dimensions...

This paper introduces an efficient representation and feature extraction technique for 3D pose estimation of objects, incorporating a novel mechanism for the exploitation of the extracted visual cues. A combination of a fuzzy clustering technique for the input space, with supervised learning, results in a problem of reduced dimensionality and an ef...

The maintenance management function requires staff to possess a truly multidisciplinary set of skills. This includes competencies from engineering and information technology to health and safety, management and finance, while also taking into account the normative and legislative issues. This body of knowledge is rarely readily available within a s...

Physical asset Management is “the optimal life cycle management of physical assets to sustainably achieve the stated business objectives”. A "physical asset" is defined as a physical item that has potential or actual value to an organization. During 2011-2012 the European Federation of National Maintenance Societies (EFNMS) European Asset Managemen...

Portable devices are increasingly employed in a wide range of mobile guidance applications. Typical examples are guides in urban areas, museum guides, and exhibition space aids. The demand is for the delivery of context-specific services, wherein the context is typically identified by a combination of data related to location, time, user profile, d...

Mobile learning is a powerful addition to the toolset offered by e-Learning solutions. It can extend current e-Learning benefits to provide support and training everywhere, anytime and to anyone registered to have access and with affordable costs. Mobile devices with substantial computational, networking and storage capabilities are ubiquitous toda...

This paper presents an analysis of the potential and a methodology for handling context events and adaptations in maintenance services. A significant number of industrial IT systems employ data models and service frameworks whose design specifications where drafted on the basis of functional requirements for non context-aware systems. Such systems...

This paper presents a Bayesian approach for maintenance action recommendation tested on the PHM 2013 Data Challenge dataset. The Challenge focused on maintenance action recommendation based on historical cases and the algorithms were evaluated on their ability to recommend confirmed problem types. The proposed approach is based on a Bayesian infere...