Model development for assessing inhibitors impacting Industry 4.0 implementation in Indian manufacturing industries: an integrated ISM-Fuzzy MICMAC approach

被引:14
|
作者
Gadekar, Rimalini [1 ]
Sarkar, Bijan [2 ]
Gadekar, Ashish [3 ]
机构
[1] Govt Polytech, Mech Engn Dept, Gondia, Maharashtra, India
[2] Jadavpur Univ Kolkata, Prod Engn Dept, Kolkata, W Bengal, India
[3] Amity Inst Higher Educ, Fac Management, Ebene, Mauritius
关键词
Industry; 4; 0; Sustainability; Inhibitors; Principal component analysis; Interpretive structural modeling; Fuzzy MICMAC; COVID-19; CYBER-PHYSICAL SYSTEMS; BIG DATA ANALYTICS; OF-THE-ART; RESEARCH AGENDA; FUTURE; CHALLENGES; TECHNOLOGIES; MANAGEMENT; SUSTAINABILITY; INFORMATION;
D O I
10.1007/s13198-022-01691-5
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industry 4.0 (I4.0) adoption is becoming predominant in manufacturing industries due to its limitless opportunities. Even though companies are interested in adopting digitalization, several perceived barriers stymied them. However, in the interest of its smooth adoption, these perceived barriers must be addressed urgently. This research aims to analyze the broader spectrum of possible barriers that impede the implementation of I4.0 and converge them into the most prominent inhibitors, further assessing these inhibitors to develop contextual relationships among them. A comprehensive literature review and an empirical research-based survey considering a large sample size are used to address the study's research objectives. Industry and academia experts' inputs are considered to derive the I4.0 implementation barrier's current prominence. The interrelationship among extracted twelve significant inhibitors through principle component analysis (PCA) is modeled using interpretive structural modeling (ISM) to manifest each inhibitor's direct and indirect effect. Fuzzy matriced' impacts croise's multiplication applique'e a' un classement (MICMAC) analysis is further considered to classify these inhibitors into drivers and dependents. The study depicts inadequate organizational strategies, uncertainty about financial decision making, limited employee readiness, inconsistent legal and government policies, Insufficient IT and automation infrastructure as the most prominent driver inhibitors of the I4.0 adoption. An integrated novel PCA-ISM Fuzzy MICMAC model developed in this research paper is unique and used for the first time to establish the hierarchical relationship among I4.0 implementation inhibitors considering the post-COVID-19 scenario. This study offers practical insights and outcomes that will help researchers, decision-makers, and practitioners in unlocking the potential of I4.0 by dealing with its inhibitors efficaciously.
引用
收藏
页码:646 / 671
页数:26
相关论文
共 50 条
  • [21] Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach
    Sindhu, Sonal
    Nehra, Vijay
    Luthra, Sunil
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 62 : 70 - 88
  • [22] An integrated Fuzzy DEMATEL and Fuzzy Cognitive Maps approach for the assessing of the Industry 4.0 Model
    Erkan, Enes Furkan
    Uygun, Ozer
    Kiraz, Alper
    Canpolat, Onur
    JOURNAL OF ENGINEERING RESEARCH, 2023, 11 (2B): : 236 - 251
  • [23] Evaluating and Prioritizing the Barriers of Industry 4.0 Implementation in Indian SMEs: An ISM Approach
    Rawat P.
    Yashpal
    Purohit J.K.
    Journal of The Institution of Engineers (India): Series C, 2024, 105 (03) : 543 - 560
  • [24] The Relationship between Circular Economy, Industry 4.0 and Supply Chain Performance: A Combined ISM/Fuzzy MICMAC Approach
    Godinho Filho, Moacir
    Monteiro, Luiza
    de Oliveira Mota, Renata
    dos Santos Leite Gonella, Jessica
    de Souza Campos, Lucila Maria
    SUSTAINABILITY, 2022, 14 (05)
  • [25] Unlocking the Relationship Between Lean Leadership Competencies and Industry 4.0 Leadership Competencies: An ISM/Fuzzy MICMAC Approach
    Bianco, Debora
    Godinho Filho, Moacir
    Osiro, Lauro
    Ganga, Gilberto
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 70 (06) : 2268 - 2292
  • [26] An integrated approach for implementation of agile manufacturing system in an Indian manufacturing industry
    Sindhwani, Rahul
    Malhotra, Vasdev
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2018, 25 (04) : 1106 - 1120
  • [27] Assessing contributory factors in potential systemic accidents using AcciMap and integrated fuzzy ISM - MICMAC approach
    Wang, Weizhong
    Liu, Xinwang
    Qin, Yong
    Huang, Jinjin
    Liu, Yufan
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2018, 68 : 311 - 326
  • [28] Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach
    Gupta, Amit Kumar
    Goyal, Harshit
    INFORMATION TECHNOLOGY & MANAGEMENT, 2021, 22 (03): : 207 - 229
  • [29] Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach
    Amit Kumar Gupta
    Harshit Goyal
    Information Technology and Management, 2021, 22 : 207 - 229
  • [30] Investigating the Measures of Sustainable Business Performance in Implementation of Industry 4.0 in Indian Manufacturing Industries: A PLS-SEM Approach
    Shukla, Pritesh
    Dalpati, Avadhesh
    Gupta, Ramesh Chandra
    Journal of The Institution of Engineers (India): Series C, 2024, 105 (05) : 1131 - 1145