Developing an Industry-Specific Lean 4.0 Readiness Assessment Tool: A Case for the Chemical Sector
Main Article Content
Keywords
Industry 4.0, lean, digital transformation, Readiness Assessment Tool, chemical industry
Abstract
In an era where digital transformation is increasingly imperative, many industries struggle to navigate the complexities of technological adoption and operational efficiency. Lean principles, which emphasize waste reduction and process optimization, provide a robust foundation for digital transformation, particularly in the chemical industry, where unique operational challenges exist. This research aims to develop an integrated Lean 4.0 readiness assessment tool to bridge the gap between leanness and Industry 4.0 readiness. The study begins with a literature review on existing lean and Industry 4.0 readiness measurement tools and integrates them to create a new framework, using the Indonesia Industry 4.0 Readiness Index (INDI 4.0) as a reference, tailored specifically to the chemical industry. Expert interviews are conducted to refine the assessment tool, ensuring alignment with real-world industry conditions and practical insights. A Delphi-based expert consensus method combined with a fuzzy approach for handling imprecision in indicator ratings is employed to validate the framework, resulting in five key dimensions and 86 indicators. By gathering expert input, the tool addresses the chemical industry’s specific challenges and simplifies readiness evaluation, helping companies assess their preparedness for digital transformation and identify areas for improvement. The resulting framework enables chemical companies to bridge readiness gaps and prioritize targeted enhancements. Furthermore, this tool has the potential to serve as a scalable model for other industries, fostering more efficient and strategic digital transformation aligned with Industry 4.0 objectives globally.
References
[2] A. Schumacher, S. Erol, and W. Sihn, “A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises,” Procedia CIRP, vol. 52, pp. 161–166, 2016, doi: 10.1016/j.procir.2016.07.040.
[3] D. R. Brousell, J. R. Moad, and P. Tate, “The next industrial revolution: how the internet of things and embedded, connected, intelligent devices will transform manufacturing,” Frost Sullivan, A Manuf. Leadersh. White Pap., 2014.
[4] G. Anand and P. T. Ward, “Fit, Flexibility and Performance in Manufacturing: Coping with Dynamic Environments,” Prod. Oper. Manag., vol. 13, no. 4, pp. 369–385, Dec. 2004, doi: 10.1111/j.1937-5956.2004.tb00224.x.
[5] A. Genovese, S. C. L. Koh, N. Kumar, and P. K. Tripathi, “Exploring the challenges in implementing supplier environmental performance measurement models: a case study,” Prod. Plan. Control, vol. 25, no. 13–14, pp. 1198–1211, Oct. 2014, doi: 10.1080/09537287.2013.808839.
[6] P. Leitão, A. W. Colombo, and S. Karnouskos, “Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges,” Comput. Ind., vol. 81, pp. 11–25, 2016, doi: 10.1016/j.compind.2015.08.004.
[7] A. Rashid and B. Tjahjono, “The Management of Operations Achieving manufacturing excellence through the integration of enterprise systems and simulation,” Prod. Plan. Control, vol. 7287, no. February, 2016, doi: 10.1080/09537287.2016.1143132.
[8] Y. Lu and X. Xu, “Resource virtualization: A core technology for developing cyber-physical production systems,” J. Manuf. Syst., vol. 47, pp. 128–140, 2018.
[9] A. D. Chandler, Shaping the Industrial Century, Harvard University Press, 2005, doi: 10.2307/j.ctv1pncqx2.
[10] M. Mahfud and Z. Sabara, Industri Kimia Indonesia. Yogyakarta, Indonesia: Deepublish, 2018.
[11] R. Y. Naulina et al., Kimia Industri. Bandung, Indonesia: CV Widina Media Utama, 2023..
[12] S. Chavush and R. Bikker, A Manufacturing Company’s Approach to the 2030 UN SDGs Affected by Institutional Differences and Theory, Master’s thesis, Jönköping Int. Business School, Jönköping Univ., Sweden, May 2023.
[13] PricewaterhouseCoopers, Delivering the Sustainable Development Goals, 2017. [Online]. Available: PwC Report.
[14] BAPPENAS, Laporan Pelaksanaan Pencapaian TPB/SDGs Tahun 2021, 2021. [Online]. Available: SDGs BAPPENAS.
[15] G. Beier, S. Niehoff, and M. Hoffmann, “Industry 4.0: A step towards achieving the SDGs? A critical literature review,” Discov. Sustain., 2021, doi: 10.1007/s43621-021-00030-1.
[16] Kementerian Perindustrian RI, Making Indonesia 4.0: Peta Jalan Industri 4.0, 2018. [Online]. Available: https://bsn.go.id/uploads/download/making_indonesia_4.0_-_kementerian_perindustrian.pdf.
[17] Germany Trade & Invest, Industrie 4.0: Smart Manufacturing for the Future. Germany: GTAI, 2014. [Online]. Available: https://www.pac.gr/bcm/uploads/industrie4-0-smart-manufacturing-for-the-future-en.pdf.
[18] M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, J. Justus, and M. Harnisch, “Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries,” 2015.
[19] M. Sony and S. Naik, “Key ingredients for evaluating Industry 4.0 readiness for organizations: A literature review,” Benchmarking An Int. J., 2019, doi: 10.1108/BIJ-09-2018-0284.
[20] S. Mittal, M. A. Khan, D. Romero, and T. Wuest, “Smart manufacturing: Characteristics, technologies, and enabling factors,” in Engineering Manufacture, 2017, doi: 10.1177/0954405417736547.
[21] S. Albukhitan, “Developing Digital Transformation Strategy for Manufacturing,” Procedia Comput. Sci., vol. 170, pp. 664–671, 2020, doi: 10.1016/j.procs.2020.03.173.
[22] S. Nambisan, “Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship,” Entrep. Theory Pract., vol. 41, no. 6, pp. 1029–1055, Nov. 2017, doi: 10.1111/etap.12254.
[23] G. Citybabu and S. Yamini, “Lean Six Sigma 4.0 – a framework and review for Lean Six Sigma practices in the digital era,” 2023, doi: 10.1108/BIJ-09-2022-0586.
[24] A. Muhardono, C. Chalimah, and M. Diazwara, "Peran kemampuan pengguna teknologi informasi menuju transformasi sumberdaya manusia di era Revolusi Industri 4.0," FIRM J. Manag. Stud., vol. 7, no. 1, pp. 81–92, 2022. [Online]. Available: FIRM Journal.
[25] H. Robinson, "Why do most transformations fail? A conversation with Harry Robinson," McKinsey & Company, 2019. [Online]. Available: McKinsey Report.
[26] T. ldanha, Why Digital Transformations Fail: The Surprising Disciplines of How to Take Off and Stay Ahead. Berrett-Koehler Publishers, 2019.
[27] T.ln, “What Lean Thinking has to Offer the Process Industries,” Chem. Eng. Res. Des., vol. 83, no. A6, pp. 662–673, 2005, doi: 10.1205/cherd.04351.
[28] F. W.z, P. D. Karningsih, and H. Supriyanto, “Penerapan Lean Manufacturing Untuk Mereduksi Waste di PT ARISU,” J. Tek. ITS, vol. 1, no. 1, pp. F135–F140, 2012, doi: 10.12962/j23373539.v1i1.1777.
[29] M. H. Lia C. T. Wang, “Using enterprise architecture to integrate lean manufacturing, digitalization, and sustainability: A lean enterprise case study in the chemical industry,” Sustain., vol. 13, no. 9, 2021, doi: 10.3390/su13094851.
[30] Shift Indona“Masa Depan Lean di Era Industri 4.0,” Mar. 30, 2021. Available: https://shiftindonesia.com/masa-depan-lean-di-era-industry-4-0/ (accessed Mar. 30, 2024).
[31] G. Hoellthaler.raunreuther, and G. Reinhart, “Digital lean production – An approach to identify potentials for the migration to a digitalized production system in SMEs from a lean perspective,” Procedia CIRP, vol. 67, pp. 522–527, 2018, doi: 10.1016/j.procir.2017.12.255.
[32] Rakhmanhuda an.. Karningsih, “Development of lean assessment indicator: A case study,” in MATEC Web Conf., vol. 204, 2018, Art. no. 01010, doi: 10.1051/matecconf/201820401010.
[33] M. F. Brito, A. L. RsP. Carneiro, and M. A. Gonçalves, “A continuous improvement assessment tool, considering lean, safety and ergonomics,” Int. J. Lean Six Sigma, vol. 11, no. 5, pp. 879–902, Jan. 2020, doi: 10.1108/IJLSS-12-2017-0144.
[34] D. D. Harjanto and P. Daingsih, “Pengembangan Dimensi dan Indikator Lean Assessment Tools UMKM di Indonesia,” Prozima, vol. 5, no. 1, pp. 21–29, 2021, doi: 10.21070/prozima.v5i1.1426.
[35] D. N. Muhammad and P. D. Kisih, “Development of Lean Assessment Tool for Healthcare Industry,” in Int. Conf. Bus. Eng. Manag. 2020, 2020.
[36] C. Lyons, K. Vidamour, R. nand M. Sutherland, “Developing an understanding of lean thinking in process industries,” Prod. Plan. Control, vol. 22, no. 6, pp. 553–566, 2011, doi: 10.1080/09537287.2011.633576.
[37] S. Lyu, C. K. H. Hon, A. P. C. C,. K. W. Wong, and Y. J. J. Dai, “Relationships among safety climate, safety behavior, and safety outcomes for ethnic minority construction workers,” Int. J. Environ. Res. Public Health, vol. 15, no. 3, p. 484, 2018, doi: 10.3390/ijerph15030484.
[38] P. O. P. Rahmatindar, M. L. SinggihnP. D. Karningsih, “Development Of Lean 4.0 Readiness Assessment Tool,” Sepuluh Nopember Institute of Technology, 2024.
[39] P. L. King and J. S. King, Value StreMping for the Process Industries. Taylor & Francis, 2015.
[40] VDMA IMPULS, Industry 4.0 Readiness: Online Self-Check for Businesses. IMPULS Foundation, VDMA, 2015. [Online]. Available: https://www.industrie40-readiness.de/?lang=en.
[41] Singapore Economic Development Board, The Smart Industry Readiness Index, 2017. [Online]. Available: SIRI-Whitepaper.
[42] Kementerian Perindustrian Republik Indonesia, "Indonesia Industry 4.0 Readiness Index," 2018.\
[43] PricewaterhouseCoopers, Industry 4.0 - Digital Operations Self-Assessment, 2019. [Online]. Available: PwC Self-Assessment.
[44] W. Kosasih, I. N. Pujawan, and P. D. Karningsih, "Integrated Lean-Green Practices and Supply Chain Sustainability for Manufacturing SMEs: A Systematic Literature Review and Research Agenda," Sustainability, vol. 15, no. 16, 2023, doi: 10.3390/su151612192.
[45] M. Pagliosa and G. Tortorella, "Lean Manufacturing Future Research Directions," Journal of Manufacturing Technology Management, 2018, doi: 10.1108/JMTM-12-2018-0446.
[46] A. Pandor et al., "Delphi Consensus Reached to Produce a Decision Tool for Selecting Approaches for Rapid Reviews (STARR)," Journal of Clinical Epidemiology, vol. 114, pp. 22–29, 2019, doi: 10.1016/j.jclinepi.2019.06.005.
[47] S. J. Raval, R. Kant, and R. Shankar, "Benchmarking the Lean Six Sigma Performance Measures: A Balanced Scorecard Approach," Benchmarking: An International Journal, vol. 26, no. 6, pp. 1921–1947, 2019, doi: 10.1108/BIJ-06-2018-0160.
[48] M. J. Saary, "Radar Plots: A Useful Way for Presenting Multivariate Health Care Data," Journal of Clinical Epidemiology, vol. 60, pp. 311–317, 2008, doi: 10.1016/j.jclinepi.2007.04.021.
[49] S. A. Boamah, H. K. S. Laschinger, C. Wong, and S. Clarke, "Effect of transformational leadership on job
satisfaction and patient safety outcomes," Nursing Outlook, vol. 66, no. 2, pp. 180-189, 2018. doi:
10.1016/j.outlook.2017.10.004.
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