A framework to design smart manufacturing systems for Industry 5.0 based on the human-automation symbiosis

The concept of Industry 5.0 (I5.0) promotes the human-centricity as the core value behind the evolution of smart manufacturing systems (SMSs), based on a novel use of digital technologies in the design and management of modern industrial systems to take up the socio-technical challenges. In this context, the paper proposes a Smart Manufacturing Systems Design (SMSD) framework enabling I5.0, based on the human-automation symbiosis. Thanks to an 'Augmented Digital Twin' (ADT) able to integrate and digitize all the entities of the factory (i.e. machines, robots, environments, interfaces, people), AI-driven applications can be built to support the user domain and make people and machines co-evolve thanks to a systematic data sharing between physical and digital assets (e.g. digital twin, virtual mock-ups, human-machine interfaces), optimizing factory productivity and workers wellbeing. In this framework, machines and humans can both generate knowledge and learn from each other, generating a virtuous co-evolution, supporting the understanding of the human-machine interplay and the creation of an effective collaboration between people and SMSs. The framework was conceived and validated involving four industrial companies, belonging to diverse sectors, interested in overcoming the current limits of I4.0 lines by including the human factors for future SMS management

Using Semantic Web Services for AI-Based Research in Industry 4.0

The transition to Industry 4.0 requires smart manufacturing systems that are easily configurable and provide a high level of flexibility during manufacturing in order to achieve mass customization or to support cloud manufacturing. To realize this, Cyber-Physical Systems (CPSs) combined with Artificial Intelligence (AI) methods find their way into manufacturing shop floors. For using AI methods in the context of Industry 4.0, semantic web services are indispensable to provide a reasonable abstraction of the underlying manufacturing capabilities. In this paper, we present semantic web services for AI-based research in Industry 4.0. Therefore, we developed more than 300 semantic web services for a physical simulation factory based on Web Ontology Language for Web Services (OWL-S) and Web Service Modeling Ontology (WSMO) and linked them to an already existing domain ontology for intelligent manufacturing control. Suitable for the requirements of CPS environments, our pre- and postconditions are verified in near real-time by invoking other semantic web services in contrast to complex reasoning within the knowledge base. Finally, we evaluate our implementation by executing a cyber-physical workflow composed of semantic web services using a workflow management system.Comment: Submitted to ISWC 202

Exploring the integration of the human as a flexibility factor in CPS enabled manufacturing environments: methodology and results

Cyber Physical Systems (CPS) are expected to shape the evolution of production towards the fourth industrial revolution named Industry 4.0. The increasing integration of manufacturing processes and the strengthening of the autonomous capabilities of manufacturing systems make investigating the role of humans a primary research objective in view of emerging social and demographic megatrends. Understanding how the employees can be better integrated to enable increased flexibility in manufacturing systems is a prerequisite to allow technological solutions, as well as humans, to harness their full potential. Humans can supervise and adjust the settings, be a source of knowledge and competences, can diagnose situations, take decisions and several other activities influencing manufacturing performances, overall providing additional degrees of freedom to the systems. This paper, studies two different integration models: Human-in-the-Loop and Human-in-the-Mesh. They are both analysed in the context of four industrial cases of deployment of cyber physical systems in production

Software Systems Engineering for Cyber Physical Production Systems

This project solves the problem of easy adaption and usage of CPPS by small scale industries, With this project it has been tried to develop a methodology of requirement engineering for CPPS system and finally the whole system. We have developed the approach right from requirement engineering to mapping into IEC61499 function blocks and then to deployment to a physical devices. This work can be a good foundation and support for scientific communities or industialist to easily implement requirement engineering of a small scale systems for CPPS and thus build a 21st century production system with this and reap its enormous benefits.Cyber physical production systems are the future of production systems not only in europe but in the entire world. It brings with itself huge benefits and popularly attributes to Industry 4.0 also. These are automated systems where physical systems are monitored and controlled by computer based algorithms in real time. Traditional systems have certain disadvantages and are limited in terms of hours of operation as it is governed by manpowers and the type of products that can be produced without making much changes in the production configuration and the speed of production of products. In europe, a lot of research is going on, particularly in germany and in the United states too for upgrading major physical systems and manufacturing systems. Some examples of such systems are smart factory, smart grid, autonomous automobile systems, automatic pilot avionics, robotics systems etc. The main goal of this thesis is to define a set of methodologies for easing the process of implementation of the CPPS(cyber physical production systems) system on small and medium industries so that the adoption rate for such industries can be high. There is no methodology yet particularly for CPPS systems for small and medium industries, although we have methodologies in place for large industries. In order to do so, first study was done for challenges in developing a requirement engineering process in section 3 and how it is different from a typical software system. An approach has been developed based on existing information available on large systems and CPPS and some software engineering frameworks like MODAF and TOGAF. A proposal for the process and some diagrams and tools has been made in section 4. To validate the proposed approach we have taken a synthetic test case of a pizza production system and implemented all the approaches to transform it into a cyber physical production system right from requirement and UML diagrams to the final function block approach. With this set of approaches,there is now a basis for software development methodology for small and medium industries particularly. With these approaches the adoption rate can be really high for such industries bringing out traditional industries more to the 21st century forefront

A Review on Challenges and Opportunities for Implementing Industry 4.0 in India

The globalization and the competitiveness are enforcing organizations to readdress and innovate their production processes. The world is entering a new era of industrial emanating technology in automation and data exchange through the use of Internet of Things called fourth technological revolution or Industry 4.0. It represents the amalgamation of tools already used in the past such as big data; cloud, robot, 3D printing, simulation, etc. are now connected into an internet to transmit digital data. For the implementation of this new paradigm, there are many opportunities and also many challenges. This paper highlights brief introduction on challenges and opportunities for implementation of Industry 4.0 in India

Cyber-physical systems in manufacturing: Future trends and research priorities

In the last decades, the manufacturing ecosystem witnessed an unprecedented evolution of disruptive technologies forging new opportunities for manufacturing companies to cope the ever-growing market pressure. Moreover, the race to create value for the customers has been hindered by several issues that both small and large companies have been facing, such as shorter product life cycles, rapid time-to-market, product complexity, cost pressure, increased international competition, etc. In this scenario, ICT represent a crucial enabler for preserving competitiveness and fostering industry innovation. In particular, among these technologies, Cyber-Physical Systems (CPS) is growing an ever-high interest of industry stakeholders, researchers, practitioners and policy makers as they are considered the key technology that will transform manufacturing industry to the next generation. Indeed, CPS is a breakthrough research area for ICT in manufacturing and represents the cornerstone for achieving the EU2020 "smart everywhere" vision. At this early development phase, there is the urgent need to set the ground for future research streams, create a common understanding and consensus, define viable migration paths and support standards definition. This paper describes the identified research challenges and the future trends that will drive to the adoption of CPS in manufacturing. The main evidences on researches challenges expected for CPS in manufacturing are outlined by the authors that have been involved in the sCorPiuS project 'European Roadmap for Cyber- Physical Systems in Manufacturing', promoted by the European Commission to define a roadmap for future CPS in manufacturing adoption research agenda

VIRTUAL FARMER: CONTROLLING PHYTOCHROME SIGNALING IN PLANTS THROUGH CYBER-PHYSICAL SYSTEM

Under external environment stimuli seedlings undergo variation of morphology and alterations in its genetic sequences. Phytochrome signaling i.e., feedback reaction of plants to photons and other nutrient cycle plays a crucial role in its maturation. In this research work we create a cyber physical system to control such morphogenesis of plants through the help of artificial intelligence framework which identifies and control the crucial feedback between plant's genetic transcription with respect to the external stimuli such as nutrients, electricity, magnetism. This leads to autonomously grow a plant without its disadvantageous traits by destabilizing its negatively acting transcriptional regulators and enhance the plant's advantageous features by controlling its positively acting transcriptional regulators. This has leaded us to control the plant metabolism, plant growth without soil, manipulate the immunity of plant against disease, develop a plant metabolic profile and maximizes its yield deprived off from its seasonal attribute.Â

How Industry 4.0 Changes Business : A Commercial Perspective

Industry is the part of an economy that manufacture components and goods which are highly automatized. This paper presents a general understanding about the Fourth Industry Revolution- Industry 4.0 approach from a commercial point of view. Firstly, the history of Industrial Revolution is explained and the roadmap to Industry 4.0 is shown. Industry components and the main understanding of Industry 4.0 is explained through the previous studies. Secondly, the most common usage, implementation areas and the challenging points are demonstrated. Commercial and industrial application examples of Industry 4.0 in different sectors and the possible implementation areas are defined based on countries and sectors. Finally, the commercial impacts of this new business model is given from the industrial and human perspectives