Industry 4.0 enabling technologies for increasing operational flexibility in final assembly

被引:20
作者
Salunkhe, O. [1 ]
Berglund, A. F. [1 ,2 ]
机构
[1] Chalmers Univ Technol, Dept Ind & Mat Sci, Gothenburg, Sweden
[2] Stena Recycling Int AB, Gothenburg, Sweden
来源
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT | 2022年 / 13卷 / 01期
关键词
Operational flexibility; Final assembly; Industry; 4.0; AUGMENTED REALITY; SYSTEMS; CHALLENGES; DESIGN; OPPORTUNITIES; MANAGEMENT; KNOWLEDGE;
D O I
10.24867/IJIEM-2022-1-299
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The manufacturing industry is facing uncertainties caused by growing competition and increasing customer demands. Simultaneously, the fourth industrial revolution, commonly referred to as Industry 4.0, is helping in modernising the manufacturing industry. In the process of modernising, companies are now capable of building resilience into their systems. This resilience is in the form of higher operational flexibility, which helps cope with the growing uncertainties. The new technologies under the Industry 4.0 umbrella can be used to increase operational flexibility. This article summarises various Industry 4.0 enabling technologies that can increase operational flexibility in final assembly.
引用
收藏
页码:38 / 48
页数:11
相关论文
共 53 条
  • [1] Advances in Internet of Things (IoT) in Manufacturing
    Badarinath, Rakshith
    Prabhu, Vittaldas V.
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: THE PATH TO INTELLIGENT, COLLABORATIVE AND SUSTAINABLE MANUFACTURING, 2017, 513 : 111 - 118
  • [2] Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach
    Bajic, B.
    Suzic, N.
    Simeunovic, N.
    Moraca, S.
    Rikalovic, A.
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT, 2020, 11 (03): : 146 - 156
  • [3] Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0
    Cohen, Yuval
    Naseraldin, Hussein
    Chaudhuri, Atanu
    Pilati, Francesco
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 105 (09) : 4037 - 4054
  • [4] Damiani L., 2020, Advances in Science, Technology and Engineering Systems Journal, V5, P248, DOI [10.25046/aj050232, DOI 10.25046/AJ050232]
  • [5] Augmented reality in support of intelligent manufacturing - A systematic literature review
    Egger, Johannes
    Masood, Tariq
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 140
  • [6] Flexible and reconfigurable manufacturing systems paradigms
    ElMaraghy, Hoda A.
    [J]. INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2005, 17 (04): : 261 - 276
  • [7] Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation
    Engelsberger, Maximilian
    Greiner, Thomas
    [J]. CLOSER: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2017, : 238 - 246
  • [8] Gambao Ernesto., 2012, Gerontechnology, DOI DOI 10.4017/GT.2012.11.02.362.776
  • [9] Knowledge Strategies for Organization 4.0-A Workforce Centric Approach
    Gerdin, Magnus Bjerkne
    Fast-Berglund, Asa
    Li, Dan
    Palmquist, Adam
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: TOWARDS SMART AND DIGITAL MANUFACTURING, PT II, 2020, 592 : 31 - 36
  • [10] A typology of reviews: an analysis of 14 review types and associated methodologies
    Grant, Maria J.
    Booth, Andrew
    [J]. HEALTH INFORMATION AND LIBRARIES JOURNAL, 2009, 26 (02) : 91 - 108