DIKUL - logo

Rezultati iskanja

Osnovno iskanje    Izbirno iskanje   
Iskalna
zahteva
Knjižnica

Trenutno NISTE avtorizirani za dostop do e-virov UL. Za polni dostop se PRIJAVITE.

1 2 3 4 5
zadetkov: 2.677
1.
  • Decision-making in smart ma... Decision-making in smart manufacturing: A framework for performance measurement
    Parhi, Shreyanshu; Joshi, Kanchan; Akarte, Milind International journal of computer integrated manufacturing, 02/01/2023, Letnik: 36, Številka: 2
    Journal Article
    Recenzirano

    The deployment of smart manufacturing technologies like communication, computing, sensors, cyber-physical systems, simulation, and data sciences has enabled the operational transformations of the ...
Celotno besedilo
Dostopno za: UL
2.
  • A brief discussion on the t... A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing
    Ahuett-Garza, H.; Kurfess, T. Manufacturing letters, January 2018, 2018-01-00, Letnik: 15
    Journal Article
    Recenzirano

    •The most important habilitating technologies for Industry 4.0 and Smart Manufacturing are presented.•Trends are discussed.•Basic concepts are defined to contextualize further discussion. Industry ...
Celotno besedilo
Dostopno za: UL
3.
  • Industrial Artificial Intel... Industrial Artificial Intelligence for industry 4.0-based manufacturing systems
    Lee, Jay; Davari, Hossein; Singh, Jaskaran ... Manufacturing letters, October 2018, 2018-10-00, Letnik: 18
    Journal Article
    Recenzirano

    The recent White House report on Artificial Intelligence (AI) (Lee, 2016) highlights the significance of AI and the necessity of a clear roadmap and strategic investment in this area. As AI emerges ...
Celotno besedilo
Dostopno za: UL
4.
  • Machine learning in manufac... Machine learning in manufacturing: advantages, challenges, and applications
    Wuest, Thorsten; Weimer, Daniel; Irgens, Christopher ... Production & manufacturing research, 01/2016, Letnik: 4, Številka: 1
    Journal Article
    Recenzirano
    Odprti dostop

    The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient ...
Celotno besedilo
Dostopno za: UL

PDF
5.
  • Multi-stakeholder’s sustain... Multi-stakeholder’s sustainable requirement analysis for smart manufacturing systems based on the stakeholder value network approach
    Qu, Yuanju; Wang, Yangpeng; Ming, Xinguo ... Computers & industrial engineering, March 2023, 2023-03-00, Letnik: 177
    Journal Article
    Recenzirano

    •A new topic on multi-stakeholder sustainable value view of SMSs is put forward.•A new SMSs-SVN is proposed to illustrate sustainable relationship between multi-stakeholder and SMSs.•Integrated fuzzy ...
Celotno besedilo
Dostopno za: UL
6.
  • A digital twin-driven appro... A digital twin-driven approach towards smart manufacturing: reduced energy consumption for a robotic cell
    Vatankhah Barenji, Ali; Liu, Xinlai; Guo, Hanyang ... International journal of computer integrated manufacturing, 08/03/2021, Letnik: 34, Številka: 7-8
    Journal Article
    Recenzirano

    One of the significant trends in smart manufacturing is the idea of industrial digitalization, which is enabled through the use of new information technologies, such as the Internet of Things, big ...
Celotno besedilo
Dostopno za: UL
7.
  • Industry 4.0, digitization,... Industry 4.0, digitization, and opportunities for sustainability
    Ghobakhloo, Morteza Journal of cleaner production, 04/2020, Letnik: 252
    Journal Article
    Recenzirano

    The fourth industrial revolution and the underlying digital transformation, known as Industry 4.0, is progressing exponentially. The digital revolution is reshaping the way individuals live and work ...
Celotno besedilo
Dostopno za: UL
8.
  • Data-driven smart manufactu... Data-driven smart manufacturing
    Tao, Fei; Qi, Qinglin; Liu, Ang ... Journal of manufacturing systems, 07/2018, Letnik: 48
    Journal Article
    Recenzirano

    •The evolution of manufacturing data was reflected in accordance with four ages.•The lifecycle of manufacturing big data was illustrated as a series of phases.•A framework of data driven smart ...
Celotno besedilo
Dostopno za: UL
9.
  • A Survey on Data Collection... A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective
    Roh, Yuji; Heo, Geon; Whang, Steven Euijong IEEE transactions on knowledge and data engineering, 2021-April-1, 2021-4-1, Letnik: 33, Številka: 4
    Journal Article
    Recenzirano
    Odprti dostop

    Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely two reasons data collection has recently become a critical issue. ...
Celotno besedilo
Dostopno za: UL

PDF
10.
  • Big data analytics for manu... Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
    Dai, Hong-Ning; Wang, Hao; Xu, Guangquan ... Enterprise information systems, 11/2020, Letnik: 14, Številka: 9-10
    Journal Article
    Recenzirano
    Odprti dostop

    Data analytics in massive manufacturing data can extract huge business values while can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity ...
Celotno besedilo
Dostopno za: UL

PDF
1 2 3 4 5
zadetkov: 2.677

Nalaganje filtrov