Model for Technology Selection in the Context of Industry 4.0 Manufacturing

被引:2
作者
Aballay, Claudio [1 ,2 ]
Quezada, Luis [1 ]
Sepulveda, Cristian [3 ]
机构
[1] Univ Santiago de Chile, Dept Ind Engn, Victor Jara Ave 3769, Santiago 9170124, Chile
[2] Bernardo OHiggins Univ, Fac Engn Sci & Technol, Viel Ave 1497,Route 5 South, Santiago 8370993, Chile
[3] Univ Santiago de Chile, Dept Informat Engn, Victor Jara Ave 3769, Santiago 9170124, Chile
关键词
Industry; 4.0; FANP; FAHP; technology selection; DECISION-MAKING; FUZZY-LOGIC; FUTURE; IMPLEMENTATION; AHP;
D O I
10.3390/pr11102905
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Manufacturing companies face significant challenges due to rapid changes in globalized markets and open economies, which are experiencing mega-trends such as urbanization, globalization, and individualization. For sustainable growth, advanced technology is necessary. However, selecting technology is a difficult task due to the wide variety of options in the market. Technology has become a fundamental strategic factor for the growth and profitability of companies. The main objective of this paper is to propose a model and a methodological proposal for technology selection in the context of Industry 4.0 manufacturing. The proposed methodology is divided into three stages: The first stage is of knowledge and intervention, which allows for the socialization of the model and data collection. The second stage is the operational stage, where a hybrid method of FAHP and FANP is used to determine the weights of the factors considered. Lastly, the third stage is the analysis and evaluation stage, where the analysis, discussion, and evaluation of the results take place. To validate the proposed model, the methodology was applied to two case studies in Chilean industrial companies. The results obtained through the FAHP and FANP algorithms enabled decision makers to manage and select the most suitable technology from the wide variety of options available in today's markets.
引用
收藏
页数:25
相关论文
共 50 条
  • [31] Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0
    Nahhas, Abdulrahman
    Lang, Sebastian
    Bosse, Sascha
    Turowski, Klaus
    2018 SIXTH INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES 2018), 2018, : 108 - 115
  • [32] A predictive model for the maintenance of industrial machinery in the context of industry 4.0
    Ruiz-Sarmiento, Jose-Raul
    Monroy, Javier
    Moreno, Francisco-Angel
    Galindo, Cipriano
    Bonelo, Jose-Maria
    Gonzalez-Jimenez, Javier
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 87 (87)
  • [33] Industry 4.0 adoption key factors: an empirical study on manufacturing industry
    Narula, Sanjiv
    Prakash, Surya
    Dwivedy, Maheshwar
    Talwar, Vishal
    Tiwari, Surendra Prasad
    JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2020, 17 (05) : 697 - 725
  • [34] Lessons learned from Industry 4.0 implementation in the German manufacturing industry
    Veile, Johannes W.
    Kiel, Daniel
    Mueller, Julian Marius
    Voigt, Kai-Ingo
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2020, 31 (05) : 977 - 997
  • [35] Industry 4.0 Maturity Model Assessing Environmental Attributes of Manufacturing Company
    Zoubek, Michal
    Poor, Peter
    Broum, Tomas
    Basl, Josef
    Simon, Michal
    APPLIED SCIENCES-BASEL, 2021, 11 (11):
  • [36] Procedure Model for Industry 4.0 Realization for Operations Improvement of Manufacturing Organizations
    Bayrak, Izlem Tekin
    Cebi, Ferhan
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 7901 - 7912
  • [37] Selection and Development of Technologies for the Education of Engineers in the Context of Industry 4.0
    Gabriel Ferreira, Pedro Jose
    Bonilla, Silvia Helena
    Sacomano, Jose Benedito
    INNOVATIONS IN MECHATRONICS ENGINEERING, 2022, : 236 - 244
  • [38] Technology transfer model oriented to industry 4.0: proposal and application in the food industry
    Silva, Vander Luiz da
    Kovaleski, Joao Luiz
    Pagani, Regina Negri
    Gomes, Myller Augusto Santos
    BRAZILIAN JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2024, 21 (02):
  • [39] An Approach to Supporting the Selection of Maintenance Experts in the Context of Industry 4.0
    Patalas-Maliszewska, Justyna
    Klos, Slawomir
    APPLIED SCIENCES-BASEL, 2019, 9 (09):
  • [40] On Opportunities and Limitations of Additive Manufacturing Technology for Industry 4.0 Era
    Lemu, Hirpa G.
    ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 106 - 113