A categorical framework of manufacturing for industry 4.0 and beyond

AbstractWith rapid advancements in industry, technology and applications, many concepts have emerged in manufacturing. It is generally known that the far-sighted term ‘Industry 4.0’ was published to highlight a new industrial revolution. Many manufacturing organizations and companies are researching this topic. However, the achievement criteria of Industry 4.0 are as yet uncertain. In addition, the technology roadmap of accomplishing Industry 4.0 is still not clear in industry nor in academia to date. This paper focuses on the fundamental conception of Industry 4.0 and the state of current manufacturing systems. It also identifies the research gaps between current manufacturing systems and Industry 4.0 requirements. The major contribution is an implementation structure of Industry 4.0, consisting of a multi-layered framework is described, and is shown how it can assist people in understanding and achieving the requirements of Industry 4.0

Human‑centred design in industry 4.0: case study review and opportunities for future research

The transition to industry 4.0 has impacted factories, but it also afects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring infuencing factors, and proving the efectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the feld; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies

Multi-modal interface for offline robot programming

This thesis presents an approach for improving robot offline programming using input methods based on the human natural skills. The approach is focused to teach basic assembly and manipulation operations using a pair of industrial robots in an existing simulation environment and is meant to be improved in future works, that are also proposed in this thesis. In order to develop this approach, and regarding the available resources, an Add-In for the simulation and offline programming software RobotStudio was developed. This Add-In combines human pose, a graphical user interface and optionally speech to teach the robot a sequence of targets, along with the simulation environment, to automatically generate instructions. Two different kinds of sensors, Kinect and Leap Motion Sensor have been evaluated based on references in order to select the most suitable one for the implementation of this work. The executions of the programmed instructions have been evaluated in simulation.Este trabajo presenta una propuesta para mejorar al programación de robots fuera de línea usando métodos de entrada basados en habilidades humanas naturales. La propuesta se enfoca en enseñar operaciones básicas de ensamblaje y manipulación, utilizando un par de robots industriales en un entorno de simulación ya existente y se dispone para ser mejorado en trabajos futuros, los cuales también se proponen en este trabajo. Con el fin de desarrollar esta propuesta y teniendo en cuenta los recursos disponibles, se ha desarrollado un Add-In para el programa de simulación y programación fuera de línea Robot Studio. Este Add-In combina pose humana, una interfaz gráfica de usuario y opcionalmente habla para enseñar al robot una secuencia de objetivos junto con el entorno de simulación para automáticamente generar instrucciones. Dos diferentes tipos de sensores, Kinect y Leap Motion Sensor han sido evaluados en base a referencias para seleccionar el más adecuado para la implementación de este trabajo. Las ejecuciones de las instrucciones programadas han sido evaluadas en simulación.Máster Universitario en Ingeniería Industrial (M141

Digital economy and internationalization

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