Proposal of a maturity model for additive manufacturing: theoretical development and case study in automotive industry

被引:1
|
作者
Reboredo, Elisa [1 ]
Espadinha-Cruz, Pedro [2 ]
机构
[1] Univ NOVA Lisboa, NOVA Sch Sci & Technol, Caparica, Portugal
[2] Univ NOVA Lisboa, NOVA Sch Sci & Technol, Dept Engn Mecan & Ind, UNIDEMI, Campus Caparica, P-2829519 Caparica, Portugal
关键词
Additive manufacturing; 3D printing; industry; 4.0; maturity model; PARTS; TECHNOLOGY; MANAGEMENT; DESIGN; RISKS;
D O I
10.1080/0951192X.2023.2257668
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Currently, organizations in the manufacturing sector are exposed to high levels of competition and constant changes in consumer requirements. To survive in an increasingly competitive environment, it is essential to adopt new technologies to ensure success in a sector that is currently going through the fourth industrial revolution, associated with Industry 4.0 (I4.0). Additive manufacturing (AM) is one of I4.0's technologies, which can produce products layer by layer, playing a key role in the innovation of business models. In this manner, organizations must integrate AM starting by understanding their maturity level, which allows them to reflect on weaknesses and strengths as well as opportunities for improvement. However, literature is currently lacking maturity models for AM. This paper proposes a maturity model for AM, which aims to help organizations in the manufacturing sector in determining their maturity level regarding the implementation of the AM. The model developed was validated theoretically. Also, a case study was conducted on an automaker, where it was possible to conclude that, despite the analyzed company has a high level of maturity regarding the technological deployment of AM, an AM's strategy definition is presently missing.
引用
收藏
页码:866 / 886
页数:21
相关论文
共 50 条
  • [1] Development of a maturity model for additive manufacturing: A conceptual model proposal
    Espadinha-Cruz, Pedro
    Neves, Angela
    Matos, Florinda
    Godina, Radu
    HELIYON, 2023, 9 (05)
  • [2] Additive manufacturing tooling for the automotive industry
    Leal, R.
    Barreiros, F. M.
    Alves, L.
    Romeiro, F.
    Vasco, J. C.
    Santos, M.
    Marto, C.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (5-8): : 1671 - 1676
  • [3] Additive manufacturing tooling for the automotive industry
    R. Leal
    F. M. Barreiros
    L. Alves
    F. Romeiro
    J. C. Vasco
    M. Santos
    C. Marto
    The International Journal of Advanced Manufacturing Technology, 2017, 92 : 1671 - 1676
  • [4] G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry
    Tristan Briard
    Frédéric Segonds
    Nicolo Zamariola
    International Journal on Interactive Design and Manufacturing (IJIDeM), 2020, 14 : 875 - 886
  • [5] G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry
    Briard, Tristan
    Segonds, Frederic
    Zamariola, Nicolo
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2020, 14 (03): : 875 - 886
  • [6] Environmental assessment of additive manufacturing in the automotive industry
    Bockin, Daniel
    Tillman, Anne-Marie
    JOURNAL OF CLEANER PRODUCTION, 2019, 226 : 977 - 987
  • [7] An Industry 4.0 maturity model proposal
    Santos, Reginaldo Carreiro
    Martinho, Jose Luis
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2020, 31 (05) : 1023 - 1043
  • [8] ENVIRONMENTAL SUSTAINABILITY OF ADDITIVE MANUFACTURING: A CASE STUDY OF INDIAN MANUFACTURING INDUSTRY
    Yadav, Alok
    Garg, Rajiv Kumar
    Agrawal, Rajeev
    Sachdeva, Anish Kumar
    PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 2B, 2022,
  • [9] Assessment by Lean Modified Manufacturing Maturity Model for Industry 4.0: A Case Study of Pakistan's Manufacturing Sector
    Sajjad, Ahmad
    Ahmad, Wasim
    Hussain, Salman
    Chuddher, Bilal Akbar
    Sajid, Muhammad
    Jahanjaib, Mirza
    Ali, Muhammad Khurram
    Jawad, Muhammad
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 71 : 6420 - 6434
  • [10] Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry
    Jadoon, Gullelala
    Din, Ikram Ud
    Almogren, Ahmad
    Almajed, Hisham
    ENERGIES, 2020, 13 (21)