Filters








171,124 Hits in 5.0 sec

Machine Learning in Manufacturing Ergonomics: Recent Advances, Challenges, and Opportunities

Sujee Lee, Li Liu, Robert Radwin, Jingshan Li
2021 IEEE Robotics and Automation Letters  
Numerous studies and practices have been carried out to apply ML techniques to address manufacturing ergonomics issues, which has brought extensive opportunities as well as significant challenges.  ...  To incentivize future research in this area, this letter reviews the recent advances of ML applications in manufacturing ergonomics, and discusses future research opportunities and challenges from ML,  ...  Appropriate learning paradigms such as evolutionary algorithms [71] could be considered to deal with these challenges. B.  ... 
doi:10.1109/lra.2021.3084881 fatcat:hqdsvn3v7vcepfv5orvqlp57lu

Selected Topics on Complex Systems Informatics: Editorial Introduction to Issue 12 of CSIMQ

Kurt Sandkuhl
2017 Complex Systems Informatics and Modeling Quarterly  
Other disciplines emphasize the importance of also including a more subjective view on complexity by considering "difficulty" factors in understanding and dealing with a system.  ...  All articles in this issue are in some respect concerned with models or modelling.  ...  The authors identify challenges that EM practitioners face when EM is used for BITA and propose recommendations to deal with these challenges.  Kameni, van der Weide and de Groot address in their work  ... 
doi:10.7250/csimq.2017-12.00 fatcat:pq3bsoaxnzfeve6krjptqxjxeu

Human Factors in the Design of Medical Simulation Tools

Norah AlRomi
2015 Procedia Manufacturing  
This paper describes the human factor design issues relevant to medical simulation systems.  ...  engineering disciplines, such as the manufacturing industry.  ...  The discipline of human factors, or ergonomics, deals with the highlighted medical simulation issues and challenges by designing interfaces that take into account human capabilities and limitations.  ... 
doi:10.1016/j.promfg.2015.07.151 fatcat:g772mtqfkvfvpbhrqdbnaicmqy

Designing a Decision Support System for Production Scheduling Task in Complex and Uncertain Manufacturing Environments [chapter]

Emrah Arica, Jan Ola Strandhagen, Hans-Henrik Hvolby
2014 IFIP Advances in Information and Communication Technology  
In this paper, we propose a framework that can be utilized to design/enhance decision support systems for scheduling activities in complex and uncertain manufacturing environments.  ...  How to effectively schedule in uncertain and complex manufacturing environments, still remains a central question to academics and practitioners.  ...  This study was financed by the research center called The Norwegian Manufacturing Future (SFI NORMAN).  ... 
doi:10.1007/978-3-662-44739-0_72 fatcat:kaewsippe5cw5oq4s6iawen7my

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing [article]

Shailesh Tripathi
2020 arXiv   pre-print
The implementation of robust, stable, and user-centered data analytics and machine learning models is confronted by numerous challenges in production and manufacturing.  ...  This framework is designed to ensure active cooperation between different phases to adequately address data- and model-related issues.  ...  To develop robust ML models, we need to deal with various data and modeling issues, some of which are interrelated with each other.  ... 
arXiv:2007.14791v1 fatcat:difcf5l765bvljormncbhh3zca

An In-Depth Analysis of the Various Factors Influencing Industry 4.0 and its Impact on the Overall Performance of the Industrial Sector to Achieve Sustainable Development

Pritam Kumar
2021 International Journal of Online and Biomedical Engineering (iJOE)  
<p class="0abstract">In the last two years, the entire world has been confronted with the emergence of pandemic Covid 19, which poses several challenges to the entire human race.  ...  Adoption of smart machine and smart product applications will become more common with the widespread use of information and communication technology for all aspects of business operations and activities  ...  issues, and human/social issues.  ... 
doi:10.3991/ijoe.v17i11.25325 fatcat:xqiv3kd6mnb7hodfxmjht67ijq

Benefits and challenges of corporate social responsibility implementations: Evidence from manufacturing sector in Malaysia

Nur Amira Hanim Azman, Mazlina Mustapha
2018 International Journal of Engineering & Technology  
In addition, the benefits derived from the activities are also discussed. Questionnaires were distributed to manufacturing companies registered with the Federation of Malaysian Manufacturers.  ...  However, not all companies would be motivated to carry out CSR activities. Thus, this study aims to examine the challenges that companies have to face in implementing CSR activities.  ...  Conclusion This study provides insight about the benefits and challenges that Malaysian manufacturing companies face in executing their CSR activities.  ... 
doi:10.14419/ijet.v7i2.29.13320 fatcat:vwzcjl23wberfl6yzsrbryk6gi

Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing

Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
2021 Frontiers in Artificial Intelligence  
The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely accepted framework in production and manufacturing.  ...  Furthermore, it emphasizes also the need for a detailed business understanding and the interdependencies with the developed models and data quality for fulfilling higher business objectives.  ...  The fourth point deals with developing general predictive models to capture trends and patterns in the data to overcome future challenges instead of memorizing data by feeding in large amounts.  ... 
doi:10.3389/frai.2021.576892 fatcat:zyf6bk2mhvd2fnoy7hpdhoagtu

How to Manufacture a Sustainable Future for 9 Billion People in 2050 [chapter]

Shahin Rahimifard, Leila Sheldrick, E. Woolley, J. Colwill, M. Sachidananda
2013 Re-engineering Manufacturing for Sustainability  
Therefore, a fundamental research question is: 'How can we meet the long term demand of our growing global population, and in this context, what are the key challenges for the future of manufacturing industry  ...  A common approach adopted in such cases is to utilise foresighting exercises to develop a number of alternative future scenarios to aid with long-term strategic planning.  ...  This focuses on long term manufacturing objectives in order to deliver and embed the readiness and resilience required to deal with future manufacturing challenges.  ... 
doi:10.1007/978-981-4451-48-2_1 fatcat:qxb5ha57sfasjlz4v3z5bepujq

The Environmental Ethical Commitment (EEC) of the Business Corporations in Malaysia

Maliza Delima Kamarul Zaman
2012 Procedia - Social and Behavioral Sciences  
This study is about environmental ethical commitment (EEC) of manufacturing companies in Malaysia.  ...  From regression analysis, only three factors namely the regulation, financial aspect and stakeholder information were able to explain the EEC in Malaysia.  ...  The Environmental Ethics Motives There are various factors for corporations to clearly deal with the issue of the natural environment.  ... 
doi:10.1016/j.sbspro.2012.03.062 fatcat:xtn2eyqmpvgfvbhqjxrmeah444

From plant and logistics control to multi-enterprise collaboration

S.Y. Nof, G. Morel, L. Monostori, A. Molina, F. Filip
2006 Annual Reviews in Control  
Manufacturing systems operate in a fast changing environment full of uncertainties. Increasing complexity is another significant challenge in many production processes.  ...  Current and emerging manufacturing and logistics systems are posing new challenges and opportunities for the automation and control community.  ...  Mostly, each of us wishes to thank our colleagues and graduate students in our respective institutes, without whom all the good ideas and knowledge may not have been created.  ... 
doi:10.1016/j.arcontrol.2006.01.005 fatcat:pu6nx6wnbzaqbbx47y66tidxd4

Editorial: Scientific advances in product experience engineering

Cheng-Hung Lo, Chih-Hsing Chu, Hideyoshi Yanagisawa, Jianxin (Roger) Jiao
2016 Journal of Intelligent Manufacturing  
We hope this special issue will extend and strengthen the journal's scope on UX studies.  ...  We would like to express our sincere gratitude to the editing and publishing team of the Journal of Intelligent Manufacturing.  ...  Taking the above factors into account, a conceptual framework, product experience engineering (PEE), emerged with our call for contributions for this special issue.  ... 
doi:10.1007/s10845-016-1263-5 fatcat:263ytitfevezbihopmp2cfcqj4

Engineering Ethics of Neuralink Brain Computer Interfaces Devices

Akram Jassim Jawad
2020 Annals of Bioethics & Clinical Applications  
Firstly, a brief introduction of Neuralink BCI technology and important applications in daily life were discussed with related ethics issues.  ...  That makes the ethical related studies have more attention to apply these devices and technologies in our daily life with more security.  ...  It is supposed that setting rules and developing new cheap technologies are both important factors to deal with the bias, justice, and normality challenges of these devices contain BCI.  ... 
doi:10.23880/abca-16000160 fatcat:b634oo6lhzapxfxczwbcmf4hxq

The Prospects of Future Production: An Arena for Emerging New Strategies and Policies of Manufacturing–The Household Appliance Industry's Review

Ahmad Reza Ghasemi, Arshia Taimouri, Alireza Sayadi
2017 International Journal of Business and Management  
In this article, initially we investigate major problems and issues related to industrial manufacturing that managers and policy makers deal with.  ...  Researching about operations management stretches back to long time ago and always human beings have attempted to codify their activities in order to gain their targets.  ...  Trade issues and business managers should also be in line with new strategic objectives and execution models which are chosen.  ... 
doi:10.5539/ijbm.v12n6p203 fatcat:y3a3viqbpbavjnixpertwoqvbe

Organizational study on multi-discipline based engineering education in China

Feifan Ye
2010 Procedia - Social and Behavioral Sciences  
cross disciplinary engineering issues in multi cultural circumstance.  ...  The study finds that with this model it is easy to support teaching for the new challengers of higher engineering education.  ...  In the era of globalization, it is more important for engineers to understand and to deal with non-technological issues than before.  ... 
doi:10.1016/j.sbspro.2010.03.060 fatcat:mmzmgxw6a5c3zfxvgmmx3r4hlm
« Previous Showing results 1 — 15 out of 171,124 results