A multicriteria model for assessing maturity in industry 4.0 context

被引:6
作者
Ferreira, Duan Vilela [1 ]
Gusmao, Ana Paula Henriques de [2 ]
de Almeida, Jonatas Araujo [3 ]
机构
[1] Univ Fed Pernambuco UFPE, Management Engn Dept, Ave Prof Moraes Rego,1235 Cidade Univ, Recife, PE, Brazil
[2] Univ Fed Sergipe UFS, Management Engn Dept, Ave Marechal Rondon,s-n Jardim Rosa Elze, BR-49100000 Sao Cristovao, SE, Brazil
[3] Univ Fed Pernambuco UFPE, Nucleo Tecnol, Ave Marielle Franco s-n, BR-55014900 Caruaru, PE, Brazil
关键词
Maturity model; Industry; 4.0; Multicriteria approach; FITradeoff method; Textile sector; VISUALIZATION; READINESS;
D O I
10.1016/j.jii.2024.100579
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
According to recent literature on industry 4.0, it can increase the competitive potential of organizations through the application and integration of various technologies. Thus, to apply such technological tools, it is important to previously assess the current technological state as a starting point for directing improvement strategies. Hence, this research seeks to contribute to the organizational management by developing and applying a maturity model to evaluate companies in terms of technological maturity for industry 4.0, through a multicriteria approach based on the FITradeoff method for sorting problems. As a demonstration of the applicability of the model, Brazilian textile companies were evaluated. In this way, it was possible to access the maturity levels of the companies, and the main aspects associated with the attributes evaluated were also analyzed. Finally, this study result can be a support tool in the process of strategic planning for managers and others involved in companies, who are seeking to develop strategies in relation to the aforementioned theme. In addition, this study contributes to mitigating the gap found in the literature regarding the flexibility of the model and methodological clarity in relation to the approach employed.
引用
收藏
页数:12
相关论文
共 64 条
[1]  
Acatech, 2018, Industry 4.0 maturity index: managing the digital transformation of companies
[2]  
Akdil KY, 2018, SPRINGER SER ADV MAN, P61, DOI 10.1007/978-3-319-57870-5_4
[3]   World Class Manufacturing performance measurement using a maturity model and the FlowSort method [J].
Alencar de Andrade, Cassia Taisy ;
Henriques de Gusmao, Ana Paula ;
Silva, Wladson .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (24) :7374-7389
[4]  
[Anonymous], 1932, ARCH PSYCHOL
[5]  
[Anonymous], 2014, Industria Conectada 4.0, DOI [10.15358/0935-0381-2015-8-9-515, DOI 10.15358/0935-0381-2015-8-9-515]
[6]   Remarks on the application of the analytic hierarchy process to judgmental forecasting [J].
Belton, V ;
Goodwin, P .
INTERNATIONAL JOURNAL OF FORECASTING, 1996, 12 (01) :155-161
[7]   Industry 4.0 technology provision: the moderating role of supply chain partners to support technology providers [J].
Benitez, Guilherine Brittes ;
Ferreira-Lima, Mateus ;
Ayala, Nestor F. ;
Frank, Alejandro G. .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2022, 27 (01) :89-112
[8]   Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation [J].
Benitez, Guilherme Brittes ;
Ayala, Nestor Fabian ;
Frank, Alejandro G. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2020, 228
[9]  
Bitkom V., 2016, Implementation Strategy Industrie 4.0
[10]  
Bruno F. da S., 2016, A quarta revolucao industrial do setor textil e de confeccao: a visao de futuro para 2030, V1st