Digital transformation priorities of India's discrete manufacturing SMEs - a conceptual study in perspective of Industry 4.0

被引:111
|
作者
Dutta, Gautam [1 ]
Kumar, Ravinder [1 ]
Sindhwani, Rahul [1 ]
Singh, Rajesh Kumar [2 ]
机构
[1] Amity Univ, Dept Mech Engn, Noida, India
[2] Management Dev Inst, Dept Operat Res, Gurgaon, India
关键词
Integration; SME; Manufacturing; Industry; 4; 0; Digitalization; IoT; Digital; Transformation; Performance; Design; BIG DATA; MODELS;
D O I
10.1108/CR-03-2019-0031
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Manufacturing excellence is critical to our nation's economy. Indian Government's National Manufacturing Policy, drafted in 2011, is being revamped to include the aspects of Industry 4.0. Initiatives, both led and assisted by government and industries, are being launched to catalyze and transform India's manufacturing competencies. This paper aims to study the functional areas which can potentially leverage Industry 4.0 technologies and help India's manufacturing establishments to transform. It does so in context of the aspirations of India's small and medium discrete manufacturing establishments (SMME) towards adopting digital technologies for the identified functional areas. The study draws its context from the relevant literature review intended to examine the academic articles published until the end of September 2018, followed by a maturity assessment survey of Indian SMMEs to establish priority areas Design/methodology/approach The literature survey has been complemented with a maturity survey of more than 250 of Indian SMMEs to establish adoption gaps by comparing proficiency and sophistication of their present status and proposed adoption aspirations by 2020. The assessment of the organizational aspirations and gap areas identified is expected to indicate which of the Industry 4.0 elements can be adopted by them. Findings The maturity survey undertaken throws up several insights - Indian SMME community's self-assessment indicates operational measurements followed by manufacturing and design interventions as the aspired transformation cycle. The survey indicates that manufacturers would like to make changes to their design and manufacturing strategies based on performance metrics; therefore, they need to first capture real-time machine data, analyze and then incorporate the resulting improvements in manufacturing and design decisions in that order. Social implications Digitalization is expected to foster lean and therefore support sustainability initiatives. Digitalization is expected to help create new, alternative sources of employment which are more relevant to emerging times and foster unlearning the past and relearning of new skills. This emerging diversity of engineering applications resulting from digitalization is expected to also support the larger and poorer agricultural community of India and help the sector to become more efficient and productive, which in turn will reduce economic alienation of a large section of Indian society. Originality/value Industry 4.0 has been identified as the transformational initiative for India's manufacturing competitiveness. Indian manufacturing sector needs to urgently implement the digital technologies and improve their performance and remain relevant in this dynamic market. This research will help guide them to frame their respective digital strategies and be successful. This research will help government and industry influencers to plan and execute their interventions.
引用
收藏
页码:289 / 314
页数:26
相关论文
共 50 条
  • [31] A mixed-method study on the barriers of industry 4.0 adoption in the Indonesian SMEs manufacturing supply chains
    Fernando, Yudi
    Wahyuni-T, Ika Sari D.
    Gui, Anderes
    Ikhsan, Ridho Bramulya
    Mergeresa, Fineke
    Ganesan, Yuvaraj
    JOURNAL OF SCIENCE AND TECHNOLOGY POLICY MANAGEMENT, 2023, 14 (04) : 678 - 695
  • [32] Moving from Industry 2.0 to Industry 4.0: A case study from India on leapfrogging in smart manufacturing
    Iyer, Anandi
    15TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING, 2018, 21 : 663 - 670
  • [33] Evaluation of organizational variables of quality 4.0 in digital transformation: the study of an Indian manufacturing company
    Mittal, Ankesh
    Kumar, Vimal
    Verma, Pratima
    Singh, Arpit
    TQM JOURNAL, 2024, 36 (01): : 178 - 207
  • [34] Influential Variables and Causal Relations Impact on Innovative Performance and Sustainable Growth of SMEs in Aspect of Industry 4.0 and Digital Transformation
    Kim, Seoksoo
    Ha, Taekwan
    SUSTAINABILITY, 2023, 15 (09)
  • [35] Evaluation of Industry 4.0 strategies for digital transformation in the automotive manufacturing industry using an integrated fuzzy decision-making model
    Gorcun, Omer Faruk
    Mishra, Arunodaya Raj
    Aytekin, Ahmet
    Simic, Vladimir
    Korucuk, Selcuk
    JOURNAL OF MANUFACTURING SYSTEMS, 2024, 74 : 922 - 948
  • [36] Study on the impact of strategic management through sustainable operations for Industry 4.0 from the perspective of SMEs in the UAE
    Athooli, Jayanath
    Dayanandan, Ramya
    Elsaman, Hosam
    INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 2023, 10 (09): : 165 - 173
  • [37] The role of digital transformation in achieving sustainable supply chain management in Industry 4.0: an editorial review perspective
    Sundarakani, Balan
    Manikas, Ioannis
    Gunasekaran, Angappa
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2024, 27 (06) : 843 - 851
  • [38] Why Context Matters: Explaining the Digital Transformation of the Manufacturing Industry and the Role of the Industry's Characteristics in It
    Demlehner, Quirin
    Laumer, Sven
    PACIFIC ASIA JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2020, 12 (03): : 57 - 81
  • [39] Examining the impact of Industry 4.0 technologies on industrial performance of manufacturing organisations in India: an empirical study
    Wagire, Aniruddha Anil
    Kulkarni, Rushikesh
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2025, 38 (03) : 289 - 308
  • [40] Industry 4.0: driving factors and impacts on firm's performance: an empirical study on China's manufacturing industry
    Lin, Boqiang
    Wu, Wei
    Song, Malin
    ANNALS OF OPERATIONS RESEARCH, 2023, 329 (1-2) : 47 - 67