CMMI based fuzzy logic approach to assess the digital manufacturing maturity level of manufacturing industries

被引:4
|
作者
Thomas, Tharun [1 ]
Saleeshya, P. G. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Coimbatore, India
来源
TQM JOURNAL | 2023年 / 35卷 / 08期
关键词
Digitalisation; Digital manufacturing; CMMI; Maturity model; Industry; 4; 0; MODEL;
D O I
10.1108/TQM-07-2022-0235
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis research study aims to introduce a maturity model based on capability maturity model integration (CMMI) that can assess the digital manufacturing maturity level of manufacturing companies.Design/methodology/approachA CMMI model for the manufacturing industry is designed to assess the digitalisation level of manufacturing industries. The model is developed exclusively for the process area "organisational process focus" (OPF), and the digitalisation level is quantified using fuzzy logic by employing a case study approach.FindingsThe CMMI is successfully employed to assess the digitalisation level of a manufacturing organisation using the fuzzy logic approach. The triangular fuzzy number of the Fuzzy CMMI Measure Index (FCMI) is obtained as (6.08, 7.33, 8.52). The transformation of FCMI into linguistic terms discloses the digitalisation level of the manufacturing organisation as "Capability Maturity Level 4" (CML 4).Originality/valueThe authors tested the suitability of CMMI in the manufacturing sector. The operational concept introduced in this research sets forth a unique framework to quantify the digitalisation level of manufacturing industries.
引用
收藏
页码:2658 / 2683
页数:26
相关论文
共 50 条
  • [21] Dynamic dispatching for a flexible manufacturing system based on fuzzy logic
    Lu, Ming-Shan
    Liu, Ying-Jie
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 54 (9-12): : 1057 - 1065
  • [22] Metric-based approach to assess sustainable manufacturing performance at manufacturing process levels
    Murad, Marcio de Queiroz
    Sales, Wisley Falco
    Feraressi, Valtair Antonio
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2021, 14 (06) : 1342 - 1352
  • [23] A fuzzy logic approach to forecast energy consumption change in a manufacturing system
    Lau, H. C. W.
    Cheng, E. N. M.
    Lee, C. K. M.
    Ho, G. T. S.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (03) : 1813 - 1824
  • [24] ABSENTEEISM IN MANUFACTURING INDUSTRIES - ECONOMETRIC APPROACH
    KOSHAL, RK
    KOSHAL, M
    [J]. INDIAN JOURNAL OF INDUSTRIAL RELATIONS, 1973, 8 (04) : 543 - 548
  • [25] Digital manufacturing terminology in the product and the construction industries
    Giacaglia, Marcelo Eduardo
    Lara, Arthur Hunold
    da Silva Moura, Norberto Correa
    [J]. ARQUITETURA REVISTA, 2011, 7 (02): : 172 - 181
  • [26] A fuzzy approach to analyzing the level of resilience in manufacturing supply chains
    Rajesh, R.
    [J]. SUSTAINABLE PRODUCTION AND CONSUMPTION, 2019, 18 : 224 - 236
  • [27] MCDM TOOLS APPLICATION FOR SELECTION OF SUPPLIERS IN MANUFACTURING INDUSTRIES USING AHP, FUZZY LOGIC AND ANN
    Nallusamy, S.
    Kumar, D. Sri Lakshmana
    Balakannan, K.
    Chakraborty, P. S.
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2015, 19 : 130 - 137
  • [28] Assessment of Lean Maturity Level in Manufacturing Cells
    Maasouman, Muhammad Ali
    Demirli, Kudret
    [J]. IFAC PAPERSONLINE, 2015, 48 (03): : 1876 - 1881
  • [29] Measurement and analysis of informatization level of manufacturing industries
    Yu, Xiao-dong
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON ECONOMIC AND BUSINESS MANAGEMENT (FEBM 2017), 2017, 33 : 764 - 769
  • [30] Manufacturing flexibility measurement: a fuzzy logic framework
    Univ of Southwestern Louisiana, Lafayette, United States
    [J]. IEEE Trans Rob Autom, 4 (513-524):