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Beyond intelligent manufacturing: A new generation of flexible intelligent NC machines

S. Mekid, P. Pruschek, J. Hernandez
2009 Mechanism and Machine Theory  
Zero defect workpieces and just-in-time production are some of the objectives to be reached for better quality and high performance production.  ...  related to various aspects of the next generation of intelligent machine tool centres.  ...  In addition to the adaptation of control parameters according to process conditions, control parameters have also to be optimal during handling (including changing operations of work pieces and tools)  ... 
doi:10.1016/j.mechmachtheory.2008.03.006 fatcat:f6qggnl5lrbzdet3v55vhscnga

Advanced Applications of Industrial Robotics: New Trends and Possibilities

Andrius Dzedzickis, Jurga Subačiūtė-Žemaitienė, Ernestas Šutinys, Urtė Samukaitė-Bubnienė, Vytautas Bučinskas
2021 Applied Sciences  
This review is dedicated to the advanced applications of robotic technologies in the industrial field.  ...  These issues relate to the areas of psychology, human nature, special artificial intelligence (AI) implementation, and the robot-oriented object design paradigm.  ...  Recent Achievements in Industrial Robotics Classified according to Implementation Area Human-Machine Interaction To date, manual human work has been often replaced by robotic systems in industry.  ... 
doi:10.3390/app12010135 fatcat:o4ohtgzqnvfnfjqcc34p65yvpm

Social Internet of Industrial Things for Industrial and Manufacturing Assets**Acknowledgments to financial support of Cambridge Trust and China Scholarship Council

H. Li, A.K. Parlikad
2016 IFAC-PapersOnLine  
This paper discusses the feasibility of improving system-level performance in industrial production plants by integrating social network into the IoT concept.  ...  We proposed the concept of SIoIT (Social Internet of Industrial Things) which enables the cooperation between assets by sharing status data and optimal operation and maintenance decision-making via analysis  ...  ACKNOWLEDGEMENTS The authors wish to thank co-workers in DIAL in the Institute for Manufacturing of University of Cambridge.  ... 
doi:10.1016/j.ifacol.2016.11.036 fatcat:2nuixsjwxzevvj3xtmbdat4vmu

Approaches of Self-optimising Systems in Manufacturing [chapter]

Fritz Klocke, Dirk Abel, Christian Hopmann, Thomas Auerbach, Gunnar Keitzel, Matthias Reiter, Axel Reßmann, Sebastian Stemmler, Drazen Veselovac
2014 Lecture Notes in Production Engineering  
Self-optimising systems with their ability to analyse data, to model processes and to take decisions offer an approach to master processes without explicit control functions.  ...  In this context, process knowledge in a machine readable format is required in order to provide the self-optimising manufacturing systems a basis for decision making and optimisation strategies.  ...  Acknowledgment The authors would like to thank the German Research Foundation DFG for the kind support within the Cluster of Excellence "Integrative Production Technology for High-Wage Countries.  ... 
doi:10.1007/978-3-319-12304-2_12 fatcat:lpxplhliwvd5xcmy57ggce7evi

The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems [chapter]

David Romero, Peter Bernus, Ovidiu Noran, Johan Stahre, Åsa Fast-Berglund
2016 IFIP Advances in Information and Communication Technology  
A vision for the Operator 4.0 is presented in this paper in the context of human cyber-physical systems and adaptive automation towards humanautomation symbiosis work systems for a socially sustainable  ...  Discussions include base concepts and enabling technologies for the development of human-automation symbiosis work systems in Industry 4.0.  ...  Further work aims to explore 'intelligent' human-machine interfaces and interaction technologies, and adaptive and human-in-the-loop (HITL) control systems to support the development of 'human-automation  ... 
doi:10.1007/978-3-319-51133-7_80 fatcat:zghosaxghnfyzbdqveoqcnsdua

Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing

Adam Sanders, Chola Elangeswaran, Jens Wulfsberg
2016 Journal of Industrial Engineering and Management  
Executing Industry 4.0 is a cost-intensive operation, and is met with reluctance from several manufacturers.  ...  This research also provides an important insight into manufacturers' dilemma as to whether they can commit into Industry 4.0, considering the investment required and unperceived benefits.Design/methodology  ...  Future research Setup time reductionHuman experience-based process adaptation Self-optimisation & machine learningWorkpiece-machine communication Monotony in work Improved man-machine interfaceTable  ... 
doi:10.3926/jiem.1940 fatcat:bfa2e6w4dnhyrhnkbnrgl4gmwm


Mario Thron, Thomas Bangemann
2005 IFAC Proceedings Volumes  
Equipment maintenance is an essential need for successful industrial enterprises. Several software applications are used today for initiation and management of maintenance activities.  ...  It is necessary to define the order of these interactions, the so-called business logic workflow.  ...  All these technologies are necessary steps to an optimised maintenance management. But to reach the objective of global optimisation it needs more than just technology.  ... 
doi:10.3182/20050703-6-cz-1902.01457 fatcat:va5rkqvnk5g6fjhs5jjmangt7y

Towards emergent microservices for client-tailored design

Roberto Rodrigues Filho, Marcio Pereira de Sá, Barry Porter, Fábio M. Costa
2018 Proceedings of the 19th Workshop on Adaptive and Reflexive Middleware - ARM '18  
at a compelling point between human-and machine-designed systems.  ...  applications and operating environment.  ...  Put simply, their combination enables the effective use of human design at the macro level (to design the microservice architecture of an application) and machine-driven design at the micro level (to create  ... 
doi:10.1145/3289175.3289177 dblp:conf/middleware/FilhoSPC18 fatcat:ztcfglpmhbb6jjrodtcnb2oj3a

Evaluation of Interactive Machine Learning Systems [article]

Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
2018 arXiv   pre-print
These systems learn from and adapt to the human, but at the same time, the human receives feedback and adapts to the system.  ...  We use a visual analytics application for guided search, built using an interactive evolutionary approach, as an exemplar of our work.  ...  Objective Performance Evaluations One way to evaluate how well the human-machine co-operation performs to achieve a task is to compare the iML system with its non-interactive counterpart, i.e. no human  ... 
arXiv:1801.07964v1 fatcat:l4ie3vsjanaprmyvxjla6hnbcy

Industrial robotic machining: a review

Wei Ji, Lihui Wang
2019 The International Journal of Advanced Manufacturing Technology  
Covering articles published on the subjects of robotic machining in the past 30 years or so; this paper aims to provide an up-to-date review of robotic machining research works, a critical analysis of  ...  For the past three decades, robotic machining has attracted a large amount of research interest owning to the benefit of cost efficiency, high flexibility and multi-functionality of industrial robot.  ...  to deliver a safe and stable working environment in which human operators are allowed to work together with IRs.  ... 
doi:10.1007/s00170-019-03403-z fatcat:vnkimiqsdfe6vin3domp7ysboq

Automatic Control System Design for Industrial Robots Based on Simulated Annealing and PID Algorithms

Yahong Zhu, Jian Jiao, Qiangyi Li
2022 Advances in Multimedia  
Scientific progress has driven the development process of industrial automation to a new level, allowing fully automated production equipment to become mainstream and gradually replace manual operations  ...  The industry is at the heart of a country's development, and robot automation is the key to this. The automation of industrial robots is extremely beneficial to industrial development.  ...  Acknowledgments is work was supported by the Natural Science Foundation of Chongqing, China (no. cstc2021jcyj-msxmX1113).  ... 
doi:10.1155/2022/9226576 fatcat:jc5zofmeb5gyjh7jb3ez4nbrky

Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges [chapter]

Rafal Cupek, Marek Drewniak, Marcin Fojcik, Erik Kyrkjebø, Jerry Chun-Wei Lin, Dariusz Mrozek, Knut Øvsthus, Adam Ziebinski
2020 Lecture Notes in Computer Science  
In this context, artificial intelligence that is based on supervised machine learning can be used to optimise the internal logistical tasks that are performed by AGV.  ...  This work aims to evoke discussion and elucidate the current research opportunities, highlight the relationship between different subareas and suggest possible courses of action. performed during the successive  ...  The project is realized as Operation 1.1.1.: "Industrial research and development work implemented by enterprises" of the Smart Growth Operational Programme from 2014-2020 and is co-financed by the European  ... 
doi:10.1007/978-3-030-50426-7_25 fatcat:cbvaasuhvzcadherbsmbx4ejhu

Agent-based manufacturing execution systems for short-series production scheduling

Rafal Cupek, Adam Ziebinski, Lukasz Huczala, Huseyin Erdogan
2016 Computers in industry (Print)  
It ensures links to the production devices by means of holons. The middleware represents the dependencies between processes and services. The outer layer forms an external interface to other  ...  The authors propose to improve MES adaptability by changing its architecture from hierarchical to heterarchical software based on holons and agents.  ...  close connection to a machine and an operator.  ... 
doi:10.1016/j.compind.2016.07.009 fatcat:wud3j472d5bgdptrdas3icpwxq

Real time virtual simulation of an underactuated pendulum-driven capsule system

Keattikorn Samarnggoon, Hongnian Yu
2012 Proceedings of 2012 UKACC International Conference on Control  
In this paper, a real time virtual simulation framework which is the foundation for studying human adaptive mechatronics (HAM) is proposed.  ...  This framework allows researchers to interact and experiment with the system in real time. Thus, motion control patterns can be identified and learned with, for example, a heuristic strategy.  ...  Tuning parameters inside the machine without interfering the operator is a passive adaptation [12] . An active adaptation works in the opposite way.  ... 
doi:10.1109/control.2012.6334692 fatcat:bidz63qlrbht3jm75zk6476gw4

Open RAN Deployment Using Advanced Radio Link Manager Framework to Support Mission Critical Services in 5G

Sree S, Seshaiah Ponnekanti
2019 EAI Endorsed Transactions on Cloud Systems  
The paper explores pioneering research related to architecture and intelligent RRM that helps Service Providers (SPs) to design reference framework of an advanced Radio Link Manager (RLM) enabled by Machine  ...  Effective Radio Resource Management (RRM) is crucial for Mission Critical (MC) services to underpin communication between smartphone, massive machines and tiny sensor devices.  ...  Maneesha Vinodini Ramesh for providing immense research support in completing this work.  ... 
doi:10.4108/eai.15-3-2019.162140 fatcat:axc4if675fep7badigrvstdjku
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