STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on the Implementation Method and Path of Lean Digitization in Enterprises
DOI: https://doi.org/10.62517/jbm.202509106
Author(s)
Yuhang Cheng1,*, Lihong Xu1, Huaijing Chen1, Ran Zhang2
Affiliation(s)
1China Electronics Standardization Institute, Beijing, China 2Tianjin A.BRAIN Technology Development Co., ltd, Tianjin, China *Corresponding Author.
Abstract
Lean digitization is the deep integration of lean management and digital technology, empowering each other to help manufacturing enterprises optimize resource allocation, improve production efficiency, enhance operational efficiency, and improve customer experience. Lean digitization has two basic characteristics: firstly, using digital technology and intelligent technology to break through the cognitive limitations of complex management in machine motion and enterprise activities, enabling more detailed "continuous improvement" of complex processes and flow management in the digital space; The second is to use lean thinking to guide digital transformation construction, achieving the goal of continuous improvement in manufacturing processes, operational processes, and organizational management with limited features and data volume. This article proposes a new method that combines digital tools with lean theory, sorts out the paths and important elements of lean digital technology at different stages, and describes ways for enterprises to enhance their lean digital capabilities from different dimensions, helping them achieve comprehensive lean improvement in the context of digitization.
Keywords
Lean Management; Digital Tools; Flow Standardization Continued Improvement
References
[1]Pongboonchai-Empl, T., Antony, J., Garza-Reyes, J. A., Komkowski, T., & Tortorella, G. L. (2023). Integration of Industry 4.0 technologies into Lean Six Sigma DMAIC: a systematic review. Production Planning & Control, 34(13), 1073-1093. [2]Powell, D. J., Laubengaier, D. A., Tortorella, G. L., Saabye, H., & Antony, J. (2024). digitization in lean manufacturing firms: a cumulative capability development perspective. International Journal of Operations & Production Management, 44(6), 1249-1278. [3]Powell, D., Morgan, R., & Howe, G. (2024). Lean First … then Digitalize: A Standard Approach for Industry 4.0 Implementation in SMEs. IFIP Advances in Information and Communication Technology,631,31-39. https://doi.org/10.1007/978-3-030-85902-2_4 [4]Laari, S., & Lorentz, H. (2023). Procurement’s role in resolving demand–supply imbalances: an information processing theory perspective. International Journal of Operations & Production Management, 43(13), 68-100. https://doi.org/10.1108/IJOPM-06-2022-0382 [5]Rosin, F., Forget, P., Lamouri, S., & Pellerin, R. (2019). Impacts of Industry 4.0 technologies on Lean principles. International Journal of Production Research, 57(19), 5892-5913. [6]Rossini, M., Costa, F., Portioli Staudacher, A., & Tortorella, G. L. (2019). Industry 4.0 and Lean Production: an empirical study. IFAC PapersOnLine, 52-13, 42-47. [7]Rossini, M., Costa, F., Portioli-Staudacher, A., & Tortorella, G. L. (2023). The Impact of Lean on Introduction of Industry 4.0 Technologies: A Longitudinal Study. IFIP Advances in Information and Communication Technology, 668, 143-147. [8]Jing Shuwei, Feng Yue, Yan Jun'ai, Niu Zhanwen. (2021). Methodology for Assessing The Level of Lean Digitization in Traditional Manufacturing Industries. Science and Technology Management Research, 2021(4), 43-50. doi:10.3969/j.issn.1000-7695.2021.04.006 [9]Chen Jian, Huang Shuo, Liu Yunhui. (2020). From Empowerment to Enablement—Enterprise Operations Management in a Digitalized Environment. Managing the World, 2020(2), 117-128. DOI:10.19744/j.cnki.11-1235/f.2020.0025 [10]Jing Shuwei, Feng Yue, Yan Jun'ai, Niu Zhanwen. (2022). From Manufacturing to Smart Manufacturing: How to Implement Lean digitization in Traditional Manufacturing Companies with Heterogeneous Property Rights. China Science & Technology Forum, 2022(8), 77-87. DOI:10.13580/j.cnki.fstc.2022.08.010 [11]Feng Wenna, Ma Jiaqi. (2022). Big Data Exploring the Mechanisms by which Analytical Capabilities Influence the Performance of Servicing in Manufacturing Firms. Business Administration, 2022(2), 116-128. DOI:10.19681/j.cnki.jcufe.2022.02.010 [12]Wang Jun. (n.d.). A study on the factors influencing the development of traditional manufacturing to intelligent manufacturing. Internal Combustion Engine & Parts, 1, 205-206. DOI:10.19475/j.cnki.issn1674-957x.2020.08.103 [13]Niu Zhanwen, Jing Shuwei, Yang Fudong. (2015). Management Analysis of Manufacturing Enterprises Based on Lean Management - A Case Study of Four Enterprises. Science and Science and Technology Management, 36(7), 116-126. [14]Niu Zhanwen, Jing Shuwei. (2014). Discussion on the management innovation mode of manufacturing enterprises based on lean production. Journal of Tianjin University (Social Science Edition), 16(6), 481-487. [15]Yang Fudong, Niu Zhanwen, Jing Shuwei. (2016). Fuzzy proximity-based method for determining the stage of enterprise lean management promotion. Journal of Tianjin University (Social Science Edition), 18(3), 200-206. DOI:10.16731/j.cnki.1671-3133.2022.07.004 [16]Mei Qingchen. (2022). Study on the High-Quality Development of Manufacturing Enterprises Driven by the Precision Intelligent Manufacturing Model. Modern Manufacturing Engineering, 2022(7), 25-30. DOI:10.16731/j.cnki.1671-3133.2022.07.004
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