Process Planning in Industry 4.0-Current State, Potential and Management of Transformation

被引:23
|
作者
Trstenjak, Maja [1 ]
Opetuk, Tihomir [1 ]
Cajner, Hrvoje [1 ]
Tosanovic, Natasa [1 ]
机构
[1] Univ Zagreb, Fac Mech Engn & Naval Architecture, Ivana Lucica 5, Zagreb 10000, Croatia
关键词
process planning; Industry; 4; 0; smart factory; readiness factor; 4.0; READINESS; CAPP; MATURITY; MODEL;
D O I
10.3390/su12155878
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The implementation of the Industry 4.0 concept enables the flexibility, modularity and self-optimization of the manufacturing process. Process planning, placed in the value chain between construction and physical manufacturing, therefore, also demands digital transformation, while management of the transformation towards the new digital framework represents one of the most demanding challenges. Continuing the research on its structure and role within the smart factory, the main motivation for this work was to recognize the potential of the digital transformation of process planning elements, and to define the key dimensions that are essential for the readiness factor calculation and later transformational strategy formation, but also to recognize the current level of awareness of the Industry 4.0 concept among the process planners, along with the current use of its elements and key priorities for the transformation. The research has therefore been conducted in 34 Croatian metal machining companies, within which the influence of company size, level of education and familiarity with Industry 4.0 on final results and the stage of development have been investigated. The results have shown that the company size has a significant influence on the development stage and the use of certain elements wherein small and medium enterprises (SMEs) have already implemented certain digital elements, while they also tend to have a better fundamental infrastructure when using complex process planning methods, unlike others, which are still highly traditional. Organization and human resources have been ranked with the highest priority for change, while target goals for hardware and software have been set, with the managerial challenges of transformation defined and discussed.
引用
收藏
页数:25
相关论文
共 50 条
  • [21] DITF Global Industry 4.0 approach for process management
    Technische Textilien, 2022, 65 (05):
  • [22] Synergizes HeXie Management Framework with Program Management Approach for Industry 4.0 Transformation
    Wang, Xin
    E-BUSINESS: DIGITAL EMPOWERMENT FOR AN INTELLIGENT FUTURE, PT I, WHICEB 2023, 2023, 480 : 50 - 61
  • [23] Current State Analysis of Croatian Manufacturing Industry with Regard to Industry 4.0/5.0
    Mladineo, Marko
    Celent, Luka
    Milkovic, Vili
    Veza, Ivica
    MACHINES, 2024, 12 (02)
  • [24] CURRENT STATE AND PREDICTION OF THE FUTURE OF DIGITIZATION AS A PART OF INDUSTRY 4.0
    Zauskova, Anna
    Kusa, Alena
    Kubovics, Michal
    Scepkova, Simona
    Urminova, Marianna
    SERBIAN JOURNAL OF MANAGEMENT, 2022, 17 (01) : 111 - 123
  • [25] Tobacco Industry "Transformation"-The Current State of Play
    Hill, Sarah
    Chaiton, Michael
    Edwards, Richard
    NICOTINE & TOBACCO RESEARCH, 2023, 25 (12) : 1807 - 1809
  • [26] A Cloud-Based Process Planning System in Industry 4.0 Framework
    Milosevic, Mijodrag
    Lukic, Dejan
    Borojevic, Stevo
    Antic, Aco
    Durdev, Mica
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON THE INDUSTRY 4.0 MODEL FOR ADVANCED MANUFACTURING (AMP 2019), 2019, : 202 - 211
  • [27] Knowledge management and digital transformation for Industry 4.0: a structured literature review
    Machado, Andreia de Bem
    Secinaro, Silvana
    Calandra, Davide
    Lanzalonga, Federico
    KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE, 2022, 20 (02) : 320 - 338
  • [28] ITIL Incident Management Process Reengineering in Industry 4.0 Environments
    Cao, Jiqing
    Zhang, Shuhai
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS (AMEII 2016), 2016, 73 : 1011 - 1016
  • [29] Industry 4.0 in Pathology Process Optimization through LEAN Management
    Roecken, C.
    PATHOLOGE, 2017, 38 (06): : 489 - 489
  • [30] Data Management in Industry 4.0: State of the Art and Open Challenges
    Raptis, Theofanis P.
    Passarella, Andrea
    Conti, Marco
    IEEE ACCESS, 2019, 7 : 97052 - 97093