Although manufacturing companies are currently situated at a transition point in what has been called Industry 4.0, new revolutionary wave—Industry 5.0—is emerging as an ‘Age of Augmentation’ when the human and machine reconcile work perfect symbiosis with one another. Recent years have indeed assisted drawing attention to human-centric design Cyber-Physical Production Systems (CPPS) genesis ‘Operator 4.0’, two novel concepts that raise significant ethical questions regarding impact...

In recent years, interest in economic, environmental and social sustainability has increased significantly. Companies are gradually adopting behaviors aimed at achieving the Sustainable Development Goals, which represent a crucial aspect of 2030 Agenda. practice, they currently incorporating organizational strategies that jointly consider environmental, corporate governance (ESG), with aim generating value for all stakeholders. This paper aims to review, through recognized seven-step...

The integration of robots in manufacturing systems known as Human Robot Collaboration (HRC) can provide relevant opportunities terms productivity, safety and quality control although there are still many challenges such costs, complexity, workforce concerns, skills gaps regulatory compliance. Digital Twins (DTs), which virtual replicas physical systems, being explored a promising solution to address these challenges. Therefore, this paper delves into the potential DTs-based approaches for...

Despite on-the-job assistance technology is getting popular in the Smart Operator 4.0 literature, non-routine work also requires highly-skilled and pre-trained workers to prevent serious errors keep high efficiency safety levels. The question that motivates this study is: 'is it possible train industrial for what exactly coming instead of preparing them a large set scenarios - even very unlikely ones?'. This proposes: (i) structured On-the-Job Training strategy tasks, called...

The ongoing transformation of the manufacturing sector towards Industry 4.0 is driven by increasing importance new technologies, such as Virtual Reality (VR) and Digital Twins (DTs). VR enables immersive interactive experiences, while DTs facilitate real-time monitoring control systems. However, their widespread adoption faces barriers including lack ready-to-use applications, interoperability, absence comprehensive platforms. To overcome these challenges, main purpose this paper, which PART...

Purpose Using AI to strengthen creativity and problem-solving capabilities of professionals involved in innovation management holds huge potential for improving organizational decision-making. However, there is a lack research on the use technologies by managers. The study uses theory appropriation explore how specific factors – agile leadership (AL), orientation (IO) individual (IC) impact managers' generative tools, such as ChatGPT (CGA). Design/methodology/approach model tested through...

This research illustrates how a 'Knowledge as Service' approach endows 3.0 digitalized factory to become 4.0 Smart Factory. An application prototype based on Digital Twin Service Provider for knowledge fruition has been designed and developed enable operators facing the highly dynamic floor have their 'virtual eyes hands' physical system. The deployed in real test results show its potential benefits industrial performances terms of productivity (cycle setup times) process quality standards...

Abstract Food supply chains are benefiting from blockchain technology, as it establishes a shared, secure record of information flows, thus reducing food safety risks, increasing consumers’ trust in products’ provenance and enhancing chain efficiency. However, despite some embryonic applications, systematic literature review reports very few investigation studies. This article proposes potential design update frequency relevant data to be stored the Ethereum for monitoring traceability...

This paper proposes a cognitive digital twin framework for smart manufacturing, and especially human-robot-collaboration cases. The proposed comprises three layers (field, edge, cloud layers) based on the 5G communication network. In field layer, physical twin’s data from machine human operators are transmitted through edge layer then to virtualize twin. generates inference model generation by deep learning training updates in make field’s smart. Especially, operators’ models built...

Recent major disruptions such as natural disasters, geopolitical tensions, Covid-19 pandemic have led supply chain managers to rethink strategies for achieving significant levels of sustainability and resilience. At the same time, new digital technologies are offering opportunities increase company performance, while maintaining a high level customer service. In this challenging context, Supply Chain Digital Twin (SCDT) represents an emerging promising concept, which deserves be explored....

Thanks to the spread of technologies stemming from fourth industrial revolution, also topic fault diagnosis and assistance in contexts has benefited. Indeed, several smart tools were developed for assisting with maintenance troubleshooting, without interfering operations facilitating tasks. In line that, present manuscript aims at presenting a web solution two possible applications installed on an Android smartphone Microsoft HoloLens. The alerting operators when alarm occurs machine through...

Don't just predict problems – prescribe a solution: that's the premise behind prescriptive maintenance (PsM). Better and more data, coupled with Artificial Intelligence, Simulation, Optimization are keys to unlocking benefits of PsM. However, PsM Production Planning Control (PPC) functions in Cyber-Physical Environment still need be integrated from an application-oriented perspective. The paper proposes framework that establishes missing link between PPC. A novel decision support prototype...

The fast-growing literature corpus of industry 4.0 in the last years also reflects various applications Artificial Intelligence (AI) and Machine Learning (ML) manufacturing domain. This paper conducts a survey to infer patterns correlations within this scientific analysis aims identify knowledge gaps ML/AI-enabled systems. Therefore, objective study is twofold; first, we aim commonalities general trends AI/ML-enabled Secondly, map application areas AI/ML-based Production Planning Control...

In recent years, scientific interest in the concepts of sustainability and resilience has grown considerably. The Covid-19 pandemic indeed emphasized all fragility manufacturing systems supply chains both globally locally. disruptive effects outbreak on production systems, warehouses distribution networks are evidence urgent need for digital twins, which able to reproduce behavior guarantee adequate levels performance. this paper, a Simulation-Based Decision-Making Framework, exploits...