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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Journal of Engineering and Technological Sciences Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Meditya Wasesa
Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Industry 4.0 Maturity Models to Support Smart Manufacturing Transformation: A Systematic Literature Review Akhmad Hadi Susanto; Togar Simatupang; Meditya Wasesa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4588

Abstract

With increasing pressure to revitalize manufacturing industries with Smart Manufacturing capability within the Industry 4.0 (I4.0) context, companies have uneven readiness reflecting their gaps and barriers for transforming to the I4.0 state. Understanding factors and measuring a company’s maturity in addressing the I4.0 transformation is crucial to diagnose the company’s current condition and provide corresponding prescriptive action plan effectively. Despite the positive trend of maturity models for the industries, companies still face challenges with low I4.0 adoption rate. Designing a corresponding diagnostic framework into an intelligent maturity model will ultimately lead the company’s pathways toward the desired capabilities. In response, we systematically review and select the state-of-the-art research through a Systematic Literature Review (SLR) conduct to scrutinize the main characteristics of 14.0 Maturity Models. Subsequently, 35 exceptional articles published between 1980-2020 were selected for in-depth analysis of their structure, dimensions, and analytical features. Our analysis revealed the descriptive method have been widely used in many maturity models while few more-advanced prescriptive models design adopt fuzzy rule-base analytical hierarchy, knowledge based, Monte-Carlo methods, and even expert-system approaches. Furthermore, people, culture, organization, resources, information system, business processes, and smart technology, products and services have been treated as the popular evaluation dimensions which will define the state of an industry’s maturity level.
Co-Authors Akhmad Hadi Susanto Aretha Fieradiella Pahrevi Edi Leksono Faizatuzzahrah Rahmaniah Fakhri Ihsan Ramadhan FX Nugroho Soelami Irsyad N. Haq Irsyad Nashirul Haq Justin Pradipta Koko Friansa Putu Handre Kertha Utama Reyza Arif M. Natawidjaja Rezky Mahesa Nanda Rizki Armanto Mangkuto Togar Simatupang Yumna Puspita