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Continuous improvement in manufacturing and service systems
2016
International Journal of Production Research
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It is shown that the proposed method is more efficient than the classification probability based control charts. A real example is used to illustrate the performance of the proposed method. ...
Qiu, Song and Liu propose a simulation-based optimisation method to continuously improve the hierarchical health care service system. ...
doi:10.1080/00207543.2016.1228235
fatcat:bezcbywvgvehdp2dfrb6jo5fmu
Editorial note on the special issue of "Distributed Manufacturing to Enhance Productivity"
2016
International Journal of Production Research
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Baldev Raj, Director NIAS, Bangalore, India is one of the key experts in developing and promoting advance manufacturing methods and is yet another motivating force to carry forward the idea of distributed ...
Distributed manufacturing and related techniques have gained focus for a long period of time on linking sundry automated activities within various organisations. ...
The study incorporated the global knowledge management in globally distributed manufacturing for tackling the low efficiency in resource utilisation and lack of dynamics in resource optimisation. ...
doi:10.1080/00207543.2017.1248003
fatcat:5lcby35fsrb6jn6f7ollguvcju
Optimisation approaches for distributed scheduling problems
2013
International Journal of Production Research
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They have helped to maintain the quality of the papers published in this special issue. Their timely International Journal of Production Research ...
Acknowledgements First and foremost, the guest editors are grateful to all anonymous reviewers for their valuable effort in reviewing the papers submitted to this special issue. ...
Numerous researches have been carried out in performing distributed scheduling with agent-based systems collaborated in the recent decade. ...
doi:10.1080/00207543.2012.755345
fatcat:ijd5gpebfvd4hlogxljome7pey
IoT-Based Techniques for Online M2M-Interactive Itemized Data Registration and Offline Information Traceability in a Digital Manufacturing System
2017
IEEE Transactions on Industrial Informatics
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This investigation therefore identifies some major technical problems and challenges that current IoT-based digital manufacturing is facing, and proposes a method to bridge the technical gap for itemised ...
The integration of Internet of Things (IoT) technologies in the industry benefits digital manufacturing applications by allowing ubiquitous interaction and collaborative automation between machines. ...
Since data based machine collaboration and process optimisation are major concerns of smart manufacturing IoT systems, this investigation takes a product as a base item and divides the Industrial IoT system ...
doi:10.1109/tii.2017.2704613
fatcat:vclh7gobwvadrif5khl5rulkci
Advanced Applications of Industrial Robotics: New Trends and Possibilities
2021
Applied Sciences
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; and psychological solutions for robot–human collaboration. ...
The results of this review revealed four directions of required advancement in robotics: development of intelligent companions; improved implementation of AI-based solutions; robot-oriented design of objects ...
Effect of optimisation method on machining accuracy A dynamic model-based robot pose optimisation yields significant improvement over a static model-based optimisation for cutting conditions where the ...
doi:10.3390/app12010135
fatcat:o4ohtgzqnvfnfjqcc34p65yvpm
Framework for Sustainable Risk Management in the Manufacturing Sector
2020
Procedia Manufacturing
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Risk management is a huge challenge for business managers especially in the manufacturing engineering sector, and if not proactively controlled can lead to under performance and sometimes cessation of ...
The conclusion drawn from the study is that risk management for a manufacturing process can be successfully achieved if risk factors which have a negative impact on project cost, quality of delivery, lead ...
The focus of the work is to develop a robust and general purpose method for tolerance synthesis to quantify the combined effects of process variables on the quality output without making distributional ...
doi:10.1016/j.promfg.2020.10.180
fatcat:sgby7dbarffz5iavd6epsspux4
Towards a semantic Construction Digital Twin: Directions for future research
2020
Automation in Construction
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the simulation and optimisation of engineering systems. ...
A definition of such a concept is then given, described in terms of underpinning research themes, while elaborating on areas for future research. ...
Acknowledgements The authors acknowledge financial support from Fonds National de la Recherche Luxembourg, and Agence Nationale de la Recherche France, to 4DCollab project, grant reference: 11237662 (LU ...
doi:10.1016/j.autcon.2020.103179
fatcat:4ievwy5mijg2xkc733mrwdf3ou
Key performance indicators for sustainable manufacturing evaluation in automotive companies
2011
2011 IEEE International Conference on Industrial Engineering and Engineering Management
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945 An Effective Lean Supply Inventory Management Model using VMI Hub Weidong LIN 950 A New Approach in Supply Chain Modeling M. PAZOKI, Seyyed Mohammad Taghi FATEMI GHOMI, Fariborz JOLAI 955 xv ...
ACKNOWLEDGMENT The authors would like to thank to the Ministry of National Education, Indonesia and University Teknologi Malaysia RU Grant. ...
THE INITIAL KPI Based on a review on previous studies of the manufacturing performance indicators and the sustainable manufacturing indicators, the authors have developed a set of initial KPIs for sustainable ...
doi:10.1109/ieem.2011.6118084
dblp:conf/ieem/AmrinaY11
fatcat:donp6m7jijfylo4xgfngxccfru
State Estimators in Soft Sensing and Sensor Fusion for Sustainable Manufacturing
2022
Sustainability
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State estimators, including observers and Bayesian filters, are a class of model-based algorithms for estimating variables in a dynamical system given the sensor measurements of related system states. ...
In this paper, we introduce the concepts and main methods of state estimation and review recent applications in improving the sustainability of manufacturing processes across sectors including industrial ...
Recently, they further developed the work to propose a model-based norm-optimal iterative learning controller to track a desired reference for the cavity pressure (based on PVT-optimisation) to optimise ...
doi:10.3390/su14063635
fatcat:3a2twj3nlzbszlhc5ijluvekde
A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model
2017
Advanced Engineering Informatics
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using knowledge-based analysis but also supplies in-context tacit knowledge captured from the communications between users throughout the design process. development of a smart collaborative system for ...
As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated knowledge space and the collaborative knowledge management system not only facilitates problem-solving ...
Acknowledgement The authors acknowledge the support of Portsmouth University as well as the talent recruitment programme of Zhejiang University of Technology. ...
doi:10.1016/j.aei.2016.12.007
fatcat:kyr77jviova2hp5ar5wsslbf5y
Mechanical properties prediction in high-precision foundry production
2009
2009 7th IEEE International Conference on Industrial Informatics
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In other words, they may guess the value of a variable (for instance, the value of ultimate tensile strength). ...
Against this background, we present here the first ultimate tensile strength prediction system that, upon the basis of a Bayesian network, is able to foresee the values of this property in order to correct ...
One of the most used methods is the application of Neural Networks in several aspects, for instance, classifying foundry pieces [32] , optimising casting parameters [33] , detection of causes of casting ...
doi:10.1109/indin.2009.5195774
fatcat:ei643iyki5edzl3vuxbnihozoi
A Review of Multisensor Data Fusion Solutions in Smart Manufacturing: Systems and Trends
2022
Sensors
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The review aims to serve as a guide for the early stages of an analytic pipeline of manufacturing prognosis. ...
Manufacturing companies increasingly become "smarter" as a result of the Industry 4.0 revolution. ...
Finally, the target is associated by discrete combinatorial optimisation using a Bayesian filter. ...
doi:10.3390/s22051734
pmid:35270880
pmcid:PMC8914726
fatcat:jgr3lbtxonbezkzbr24euh5gi4
Bayesian Neural Networks: An Introduction and Survey
[chapter]
2020
Lecture notes in mathematics
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2020 pre-print arXiv:2006.12024v1 fatcat:xt3rvct43bck7nck255d4utray
Neural Networks (NNs) have provided state-of-the-art results for many challenging machine learning tasks such as detection, regression and classification across the domains of computer vision, speech recognition ...
This article introduces Bayesian Neural Networks (BNNs) and the seminal research regarding their implementation. ...
Figure 1 compares Bayesian methods for performing regression with that of a simple neural network, and illustrates the importance of measuring uncertainty. ...
doi:10.1007/978-3-030-42553-1_3
fatcat:rzkjcf6h3vcarkqstsocfjqpri
Invited review: Adaptive numerical modelling and hybrid physically based ANM approaches in materials engineering – a survey
2009
Materials Science and Technology
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to a full integration of physically based models with advanced ANM. ...
The authors review a number of recent examples in the literature, with the aim of identifying best practice in the use of these techniques as part of a multistrand modelling approach. ...
Acknowledgements The authors would like to thank the many past and present colleagues at Southampton who have collaborated on the case studies presented in this work: Julien Boselli, Martin Brown, Stefan ...
doi:10.1179/174328409x411727
fatcat:sereiy5eunezlixaew334ebjz4
Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review
2022
IEEE Access
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Logistics is an important driver for the competitiveness of industries and material supply. ...
We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. ...
FACTOR GRAPH OPTIMISATION Factor Graph Optimisation (FGO) is a relatively new positioning algorithm among Bayesian filters. ...
doi:10.1109/access.2022.3169267
fatcat:7a2pf56bdvg2th3veljcoruuxu
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