Alessandro Simeone
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View article: Fuzzy-Based Sensor Fusion for Cognitive Load Assessment in Inclusive Manufacturing Strategies
Fuzzy-Based Sensor Fusion for Cognitive Load Assessment in Inclusive Manufacturing Strategies Open
In recent years, the need to design inclusive workplaces has grown, particularly in manufacturing contexts where high cognitive demands may disadvantage neurodiverse individuals. In manufacturing environments, neurodiverse workers often ex…
View article: Enhancing garment manufacturing efficiency through human-centered scheduling
Enhancing garment manufacturing efficiency through human-centered scheduling Open
In response to the competitive pressures faced by the garment manufacturing industry, including low production efficiency and poor resource utilization, this research proposes an innovative optimization framework for Garment Flexible Manuf…
View article: A circular economy for reusable plastic packaging: digital assessment for cleaning assurance
A circular economy for reusable plastic packaging: digital assessment for cleaning assurance Open
Single use plastic packaging is widely accepted to cause significant negative environmental impacts. One option to reduce these impacts is to develop commercially viable and socially acceptable reuse systems. Such closed loop packaging sys…
View article: Enhancing operator health and safety in manufacturing: an intelligent digital humanization approach
Enhancing operator health and safety in manufacturing: an intelligent digital humanization approach Open
The manufacturing industry relies heavily on human labour, making the health and safety of operators paramount. Emerging technologies such as Human-Cyber-Physical Systems (HCPS) and Machine Learning (ML) have the potential to transform the…
View article: Inclusive manufacturing: A contribution to assembly processes with human-machine reciprocal learning
Inclusive manufacturing: A contribution to assembly processes with human-machine reciprocal learning Open
This study explores the potential synergy between neurodiversity and advanced technology within Industry 5.0, focusing on the integration of neurodiverse individuals in the workforce through Human-Machine Collaboration and Reciprocal Learn…
View article: A human-cyber-physical system for Operator 5.0 smart risk assessment
A human-cyber-physical system for Operator 5.0 smart risk assessment Open
In the context of Industry 5.0, characterized by the human-centred transformation of manufacturing processes, assessing operator risk is crucial for ensuring workplace safety and well-being. In this respect, this paper presents the develop…
View article: A computer vision approach to improve maintenance automation for thermal power plants lubrication systems
A computer vision approach to improve maintenance automation for thermal power plants lubrication systems Open
Purpose Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of time…
View article: Operator 4.0 intelligent health monitoring: a Cyber-Physical approach
Operator 4.0 intelligent health monitoring: a Cyber-Physical approach Open
The fast development and availability of smart sensors and wearable devices provides for the development of intelligent operator workspaces. In this context, a Cyber-Physical System approach is proposed here to monitor the Operator 4.0 hea…
View article: Smart decision-making for design adaptation of electric vehicles using big sales data
Smart decision-making for design adaptation of electric vehicles using big sales data Open
Fierce market competition drives rapid evolution of electric vehicles through efficient and effective design adaptation for better meeting market preferences. The design adaptations may require modifications of specifications and design pa…
View article: A deep learning-based process monitoring system for toothbrush manufacturing defect characterization
A deep learning-based process monitoring system for toothbrush manufacturing defect characterization Open
Toothbrush manufacturing process is prone to a number of defects concerning the bristle stapling, affecting the amount of scrap parts and rework. State-of-the-art inspection techniques are characterized by low efficiency, unsustainable ope…
View article: A Machine Vision—Based Pipe Leakage Detection System for Automated Power Plant Maintenance
A Machine Vision—Based Pipe Leakage Detection System for Automated Power Plant Maintenance Open
Industrial pipework maintenance inspection can be automated through machine vision-based effusion monitoring. However, colorless effusions such as water can be difficult to detect in a complex industrial environment due to weak illuminatio…
View article: Manufacturing Process Impacts on Occupational Health: a Machine Learning Framework
Manufacturing Process Impacts on Occupational Health: a Machine Learning Framework Open
The Operator 4.0 generation denotes a smart and skilled operator accomplishing ‘cooperative work’ with robots, machines and cyber-physical systems. In this taxonomy, a healthy operator is an operator equipped with wearable technology to mo…
View article: Information mining of customers preferences for product specifications determination using big sales data
Information mining of customers preferences for product specifications determination using big sales data Open
Product competitiveness is highly influenced by its related design specifications. Information retrieval of customers preferences for the specification determination is essential to product design and development. Big sales data is an emer…
View article: A data driven approach to reducing household food waste
A data driven approach to reducing household food waste Open
Of all food wastes, that which is produced from the household is the most damaging in terms of environmental and economic impact. Many efforts have been made to quantify and analyse the reasons for and problems associated with household fo…
View article: Intelligent Sensors for Sustainable Food and Drink Manufacturing
Intelligent Sensors for Sustainable Food and Drink Manufacturing Open
Food and drink is the largest manufacturing sector worldwide and has significant environmental impact in terms of resource use, emissions, and waste. However, food and drink manufacturers are restricted in addressing these issues due to th…
View article: Wasting less food: smart mass customisation of food provision
Wasting less food: smart mass customisation of food provision Open
With as much as one third of all food wasted, the highly reported environmental footprint of global food supply provides an urgent driver for changes to be made to food provision and consumption. In developed countries the main point of wa…