Organizational Effects

Organizational effects of adoption of Industry 4.0 paradigms for workers and companies.

Introduction

The main ambition in this research line is to find/analyze and develop applications where IoT technology and digitization helps people and workers to get a claener and safer environment.

The clear example of such applications is the smart devices workers can attach to monitor their performance, health or environmental conditions, which enable strong changes in working and living conditions.

Several applications have been developed such as contributions to standardization for monitoring long term evolution of patients of Essential Tremor disease.

Another relevant contribution is the creation of the concept and the development of specific solutions related to the Healthy Operator 4.0.

Indeed, the indoor air condition monitoring, but also the pollution forecasting are relevant contributions to the welfare of society.

Related Publications

Some of the interesting papers produced in this research can be found underneath,

  • [DOI] S. Sun, X. Zheng, J. Villalba-Díez, and J. Ordieres-Meré, “Data handling in industry 4.0: interoperability based on distributed ledger technology,” Sensors, vol. 20, iss. 11, p. 3046, 2020.
    [Bibtex] 
    @Article{sun2020data,
title = {Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology},
author = {Shengjing Sun and Xiaochen Zheng and Javier Villalba-Díez and Joaqu\'in Ordieres-Meré},
journal = {Sensors},
volume = {20},
number = {11},
pages = {3046},
year = {2020},
url = {https://www.mdpi.com/1424-8220/20/11/3046},
doi = {10.3390/s20113046},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
gsid = {16573729277343494954},
ncites = {37},
}
  • [DOI] D. Schmidt, J. Villalba Diez, J. Ordieres-Meré, R. Gevers, J. Schwiep, and M. Molina, “Industry 4.0 lean shopfloor management characterization using eeg sensors and deep learning,” Sensors, vol. 20, iss. 10, p. 2860, 2020.
    [Bibtex] 
    @Article{schmidt2020industry,
title = {Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning},
author = {Daniel Schmidt and Javier {Villalba Diez} and Joaqu\'in Ordieres-Meré and Roman Gevers and Joerg Schwiep and Martin Molina},
journal = {Sensors},
volume = {20},
number = {10},
pages = {2860},
year = {2020},
url = {https://www.mdpi.com/1424-8220/20/10/2860},
doi = {10.3390/s20102860},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
gsid = {14758651879465604820},
ncites = {27},
}
  • [DOI] S. Sun, X. Zheng, B. Gong, J. García Paredes, and J. Ordieres-Meré, “Healthy operator 4.0: a human cyber–physical system architecture for smart workplaces,” Sensors, vol. 20, iss. 7, p. 2011, 2020.
    [Bibtex] 
    @Article{sun2020healthy,
title = {Healthy Operator 4.0: A Human Cyber--Physical System Architecture for Smart Workplaces},
author = {Shengjing Sun and Xiaochen Zheng and Bing Gong and Jorge {García Paredes} and Joaqu\'in Ordieres-Meré},
journal = {Sensors},
volume = {20},
number = {7},
pages = {2011},
year = {2020},
url = {https://www.mdpi.com/1424-8220/20/7/2011},
doi = {10.3390/s20072011},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
gsid = {15229857575878997714},
ncites = {49},
}
  • [DOI] J. Ordieres-Meré, T. P. Remón, and J. Rubio, “Digitalization: an opportunity for contributing to sustainability from knowledge creation,” Sustainability, vol. 12, iss. 4, p. 1460, 2020.
    [Bibtex] 
    @Article{ordieres2020digitalization,
title = {Digitalization: An opportunity for contributing to sustainability from knowledge creation},
author = {Joaqu\'in Ordieres-Meré and Tomás Prieto Remón and Jesús Rubio},
journal = {Sustainability},
volume = {12},
number = {4},
pages = {1460},
year = {2020},
url = {https://www.mdpi.com/2071-1050/12/4/1460},
doi = {10.3390/su12041460},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q2}; 2.468; Environmental Science},
gsid = {8913950056194442005},
ncites = {101},
}
  • [DOI] K. A. G. Arano, S. Sun, J. Ordieres-Mere, and others, “The use of the internet of things for estimating personal pollution exposure,” International journal of environmental research and public health, vol. 16, iss. 17, p. 3130, 2019.
    [Bibtex] 
    @Article{arano2019use,
title = {The Use of the Internet of Things for Estimating Personal Pollution Exposure},
author = {Keith April G Arano and Shengjing Sun and Joaquin Ordieres-Mere and others},
journal = {International journal of environmental research and public health},
volume = {16},
number = {17},
pages = {3130},
year = {2019},
url = {https://www.mdpi.com/1660-4601/16/17/3130},
doi = {10.3390/ijerph16173130},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q2}; 2.468; Environmental Sciences},
gsid = {10433230395058227202},
ncites = {22},
}
  • [DOI] S. Sun, X. Zheng, J. Villalba-Díez, and J. Ordieres-Meré, “Indoor air-quality data-monitoring system: long-term monitoring benefits,” Sensors, vol. 19, iss. 19, p. 4157, 2019.
    [Bibtex] 
    @Article{sun2019indoor,
title = {Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits},
author = {Shengjing Sun and Xiaochen Zheng and Javier Villalba-Díez and Joaqu\'in Ordieres-Meré},
journal = {Sensors},
volume = {19},
number = {19},
pages = {4157},
year = {2019},
url = {https://www.mdpi.com/1424-8220/19/19/4157},
doi = {10.3390/s19194157},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
gsid = {16393683824779414504},
ncites = {47},
}
  • X. Zheng, S. Sun, R. R. Mukkamala, R. Vatrapu, and J. Ordieres-Meré, “Accelerating health data sharing: a solution based on the internet of things and distributed ledger technologies,” Journal of medical internet research, vol. 21, iss. 6, p. e13583, 2019.
    [Bibtex] 
    @Article{zheng2019accelerating,
title = {Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies},
author = {Xiaochen Zheng and Shengjing Sun and Raghava Rao Mukkamala and Ravi Vatrapu and Joaqu\'in Ordieres-Meré},
journal = {Journal of medical Internet research},
volume = {21},
number = {6},
pages = {e13583},
year = {2019},
publisher = {JMIR Publications Inc., Toronto, Canada},
note = {\textbf{Q1}; 5.034; Medical Informatics},
gsid = {11896143269341442310},
ncites = {88},
}
  • M. Á. Antón, J. Ordieres-Meré, U. Saralegui, and S. Sun, “Non-invasive ambient intelligence in real life: dealing with noisy patterns to help older people,” Sensors, vol. 19, iss. 14, p. 3113, 2019.
    [Bibtex] 
    @Article{anton2019non,
title = {Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People},
author = {Miguel Ángel Antón and Joaqu\'in Ordieres-Meré and Unai Saralegui and Shengjing Sun},
journal = {Sensors},
volume = {19},
number = {14},
pages = {3113},
year = {2019},
url = {https://www.mdpi.com/1424-8220/19/14/3113},
publisher = {Multidisciplinary Digital Publishing Institute},
note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
gsid = {10402819281666227884},
ncites = {15},
}
  • [DOI] G. Bing, Z. Xiaochen, G. Qing, and J. Ordieres-Meré, “Discovering the patterns of energy consumption, gdp, and $CO_{2}$ emissions in china using the cluster method,” Energy, vol. 166, p. 1149–1167, 2019.
    [Bibtex] 
    @Article{bing2018discovering,
title = {Discovering the patterns of energy consumption, GDP, and $CO_{2}$ emissions in China using the cluster method},
author = {Gong Bing and Zheng Xiaochen and Guo Qing and Joaqu\'in Ordieres-Meré},
journal = {Energy},
pages = {1149--1167},
volume = {166},
year = {2019},
publisher = {Elsevier},
url = {https://www.sciencedirect.com/science/article/pii/S0360544218321388},
doi = {10.1016/j.energy.2018.10.143},
note = {\textbf{Q1}; 6.082; Energy \& Fuels},
gsid = {6260347305797686885},
ncites = {25},
}
  • [DOI] X. Zheng, A. Vieira, S. L. Marcos, Y. Aladro, and J. Ordieres-Meré, “Activity-aware essential tremor evaluation using deep learning method based on acceleration data,” Parkinsonism & related disorders, vol. 58, p. 17–22, 2019.
    [Bibtex] 
    @Article{zheng2018activity,
title = {Activity-aware essential tremor evaluation using deep learning method based on acceleration data},
author = {Xiaochen Zheng and Alba Vieira and Sergio Labrador Marcos and Yolanda Aladro and Joaqu\'in Ordieres-Meré},
journal = {Parkinsonism \& related disorders},
volume = {58},
pages = {17--22},
year = {2019},
publisher = {Elsevier},
url = {https://www.sciencedirect.com/science/article/pii/S1353802018303316?via%3Dihub},
doi = {10.1016/j.parkreldis.2018.08.001},
note = {\textbf{Q1}; 3.926; Clinical Neurology},
gsid = {13402563940027527459},
ncites = {27},
}
  • [DOI] X. Zheng, M. Wang, and J. B. Ordieres Meré, “Comparison of data preprocessing approaches for applying deep learning to human activity recognition in the context of industry 4.0,” Sensors, vol. 18, iss. 7, p. 2146, 2018.
    [Bibtex] 
    @Article{DBLP:journals/sensors/ZhengWM18,
author = {Xiaochen Zheng and Meiqing Wang and Joaqu\'in B. {Ordieres Meré}},
title = {Comparison of Data Preprocessing Approaches for Applying Deep Learning
to Human Activity Recognition in the Context of Industry 4.0},
journal = {Sensors},
volume = {18},
number = {7},
pages = {2146},
year = {2018},
url = {https://doi.org/10.3390/s18072146},
doi = {10.3390/s18072146},
timestamp = {Thu, 13 Sep 2018 18:11:51 +0200},
biburl = {https://dblp.org/rec/bib/journals/sensors/ZhengWM18},
bibsource = {dblp computer science bibliography, https://dblp.org},
note = {\textbf{Q1}; 3.031; Instruments \& Instrumentation},
gsid = {14060541372438033818},
ncites = {92},
}
  • [DOI] B. Gong and J. Ordieres-Meré, “Reconfiguring existing pollutant monitoring stations by increasing the value of the gathered information,” Environmental modelling & software, vol. 96, pp. 106-122, 2017.
    [Bibtex] 
    @Article{Gong2017106,
title = {Reconfiguring existing pollutant monitoring stations by increasing the value of the gathered information },
journal = {Environmental Modelling \& Software },
volume = {96},
pages = {106 - 122},
year = {2017},
issn = {1364-8152},
doi = {https://doi.org/10.1016/j.envsoft.2017.06.034},
url = {http://www.sciencedirect.com/science/article/pii/S1364815216306466},
author = {Bing Gong and Joaqu\'in Ordieres-Meré},
keywords = {Pollution forecasting},
note = {\textbf{Q1}; 4.177; Computer Science, Interdisciplinary Applications},
gsid = {3534314409908941768},
gsid = {3534314409908941768},
ncites = {3},
ncites = {3},
}
  • X. Zheng, A. Vieira Campos, J. Ordieres-Meré, J. Balseiro, S. Labrador Marcos, and Y. Aladro, “Continuous monitoring of essential tremor using a portable system based on smartwatch,” Frontiers in neurology, vol. 8, pp. 96-105, 2017.
    [Bibtex] 
    @Article{10.3389/fneur.2017.00096,
author = {Xiaochen Zheng and Alba {Vieira Campos} and Joaqu\'in Ordieres-Meré and Jose Balseiro and Sergio {Labrador Marcos} and Yolanda Aladro},
title = {Continuous Monitoring of Essential Tremor Using a Portable System Based on Smartwatch},
journal = {Frontiers in Neurology},
volume = {8},
pages = {96-105},
year = {2017},
url = {http://journal.frontiersin.org/article/10.3389/fneur.2017.00096},
note = {\textbf{Q2}; 3.508; Neurosciences},
gsid = {5462981704317491678},
ncites = {31},
}
  • [DOI] F. Shrouf, B. Gong, and J. Ordieres-Meré, “Multi-level awareness of energy used in production processes,” Journal of cleaner production, vol. 142, Part 4, pp. 2570-2585, 2017.
    [Bibtex] 
    @Article{Shrouf20172570,
title = {Multi-level awareness of energy used in production processes },
journal = {Journal of Cleaner Production },
volume = {142, Part 4},
pages = {2570 - 2585},
year = {2017},
issn = {0959-6526},
doi = {http://dx.doi.org/10.1016/j.jclepro.2016.11.019},
url = {http://www.sciencedirect.com/science/article/pii/S0959652616318534},
author = {Fadi Shrouf and Bing Gong and Joaquin Ordieres-Meré},
keywords = {Multi-level energy awareness},
comment = {Jmr2JHQAAAAJ:t7zJ5fGR-2UC},
note = {\textbf{Q1}; 5.651; Engineering, Environmental},
gsid = {2215004895783949673},
ncites = {37},
}
  • B. Gong and J. Ordieres-Meré, “Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: case study of hong kong,” Environmental modelling & software, vol. 84, p. 290–303, 2016.
    [Bibtex] 
    @Article{gong2016prediction,
title = {Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong},
author = {Bing Gong and Joaqu\'in Ordieres-Meré},
journal = {Environmental Modelling \& Software},
volume = {84},
pages = {290--303},
year = {2016},
url = {http://www.sciencedirect.com/science/article/pii/S1364815216302602},
publisher = {Elsevier},
comment = {Jmr2JHQAAAAJ:_Ybze24A_UAC},
note = {\textbf{Q1}; 4.404; Computer Science, Interdisciplinary Applications},
gsid = {13312585115650841422},
ncites = {72},
}

Related Theses

Indeed, it is possible to make reference to specific thesis already finished, which are related to this research line

  • S. Sun, “Digitalization capacity for knowledge acquisition: learning from health.,” Tesis PhD Thesis, 2020.
    [Bibtex] 
    @PHDTHESIS{upm20200706,
title = { Digitalization Capacity for Knowledge Acquisition: Learning from Health.},
school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
author = {Shengjing Sun},
year = {2020},
type = {Tesis},
note = {autor, Shengjing Sun,
Advisors, Joaqu\'in Ordieres Mer\'e},
university = {Universidad Polit\'ecnica de Madrid,
Programa DEGIN,
Departamento de Ingenier\'ia de
Organizaci\'on Administraci\'on de Empresas y Estad\'istica,
Universidad Polit\'ecnica de Madrid}
}
  • X. Zheng, “Relevant framework for social applications of internet of things by means of machine learning.,” Tesis PhD Thesis, 2019.
    [Bibtex] 
    @PHDTHESIS{upm20190429,
title = {Relevant framework for social applications of internet of things by means of machine learning.},
school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
author = {Xiaochen Zheng},
year = {2019},
type = {Tesis},
note = {autor, Xiaochen Zheng,
Advisors, Joaqu\'in Ordieres Mer\'e},
university = {Universidad Polit\'ecnica de Madrid,
Programa DEGIN,
Departamento de Ingenier\'ia de
Organizaci\'on Administraci\'on de Empresas y Estad\'istica,
Universidad Polit\'ecnica de Madrid}
}
  • B. Gong, “Short term local forecasting by artificial intelligence techniques and assessing related social effects from heterogeneous data,” Tesis PhD Thesis, 2017.
    [Bibtex] 
    @PHDTHESIS{upm20170711,
title = {Short Term Local Forecasting by Artificial Intelligence Techniques and Assessing related social effects from heterogeneous data},
school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
author = {Bing Gong},
year = {2017},
type = {Tesis},
note = {autor, Bing Gong,
Advisors, Joaqu\'in Ordieres Mer\'e},
university = {Universidad Polit\'ecnica de Madrid,
Programa DEGIN,
Departamento de Ingenier\'ia de
Organizaci\'on Administraci\'on de Empresas y Estad\'istica,
Universidad Polit\'ecnica de Madrid}
}

Related Research Projects

Some research projects are aligned to this research line, such as,

CodeURL of the project / TitleFunding source
WISESThttp://wisestproject.com/European Commission
DynReacthttp://dynreact.eu/European Commission
Graco-2Introducción de TIC y mecánica avanzada en los procesos de dosificación automática de comprimidos OTEM061205BPrivate