A method to support joint integration of Lean manufacturing and Industry 4.0

被引:0
作者
Urquia, Ilse [1 ]
Amrani, Anne Zouggar [1 ]
Vallespir, Bruno [1 ]
机构
[1] Univ Bordeaux, CNRS, IMS, UMR 5218, F-33405 Talence, France
关键词
Lean; Industry; 4.0; Smart manufacturing technologies; Performance improvement; Integration; IMPLEMENTATION; MANAGEMENT;
D O I
10.1007/s00170-024-14914-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Over several decades, manufacturing enterprises have embraced Lean manufacturing (LM) to enhance the management of operations and optimize their production processes. In more recent times, the advent of transformative technologies facilitating network connectivity and process digitalization has underscored the imperative to adopt Industry 4.0 (I4.0), leading to smart manufacturing. Consequently, the simultaneous incorporation of these paradigms necessitates comprehending their interplay, elucidating the interconnections and collective impact on performance through the modeling of influence. Manufacturing enterprises often find themselves at a crossroads when aspiring to integrate both LM and I4.0. This article seeks to reinforce the integration of LM and I4.0 by presenting an accurately identified array of combinations through a comprehensive links cartography. The integration model, automatized by the proposed LeaTechRP algorithm, considers the company's desired objectives and offers diverse pathways to achieve them. The overarching goal is to furnish a decision-aided approach that explores a cohesive implementation path assessing the usefulness of LM tools and the relevancy of I4.0 technologies. Finally, the method application is showcased within the realm of the automotive industry. This demonstration serves to underscore the practical insight, extending its relevance from a strategic perspective to the operational level within the production workshops.
引用
收藏
页码:2305 / 2323
页数:19
相关论文
共 58 条
  • [11] How IJPR has addressed 'lean': a literature review using bibliometric tools
    Ciano, Maria Pia
    Pozzi, Rossella
    Rossi, Tommaso
    Strozzi, Fernanda
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (15-16) : 5284 - 5317
  • [12] 'Lean 4.0': How can digital technologies support lean practices?
    Cifone, Fabiana Dafne
    Hoberg, Kai
    Holweg, Matthias
    Staudacher, Alberto Portioli
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 241
  • [13] Interpretive framework by analysing the enablers for implementation of Industry 4.0: an ISM approach
    Devi, K. Sivananda
    Paranitharan, K. P.
    Agniveesh, A. Inigo
    [J]. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2021, 32 (13-14) : 1494 - 1514
  • [14] Critical Factors of Industry 4.0 Implementation in an Emerging Country: Empirical Study
    Dikhanbayeva, Dinara
    Tokbergenova, Akmaral
    Lukhmanov, Yevgeniy
    Shehab, Essam
    Pastuszak, Zbigniew
    Turkyilmaz, Ali
    [J]. FUTURE INTERNET, 2021, 13 (06):
  • [15] dos Santos CH, 2020, PRODUCTION, V30
  • [16] Towards 'Lean Industry 4.0' - Current trends and future perspectives
    Ejsmont, Krzysztof
    Gladysz, Bartlomiej
    Corti, Donatella
    Castano, Fernando
    Mohammed, Wael M.
    Martinez Lastra, Jose L.
    [J]. COGENT BUSINESS & MANAGEMENT, 2020, 7 (01):
  • [17] Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach
    Ferreira, William de Paula
    Armellini, Fabiano
    de Santa-Eulalia, Luis Antonio
    Thomasset-Laperriere, Vincent
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2022, 63 : 1 - 14
  • [18] Development Trends of Production Systems through the Integration of Lean Management and Industry 4.0
    Florescu, Adriana
    Barabas, Sorin
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (10):
  • [19] Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing
    Ghobakhloo, Morteza
    Fathi, Masood
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2020, 31 (01) : 1 - 30
  • [20] Lean Tools in the Context of Industry 4.0: Literature Review, Implementation and Trends
    Gomes Rossi, Arthur Henrique
    Marcondes, Giovanna Bueno
    Pontes, Joseane
    Leitao, Paulo
    Treinta, Fernanda Tavares
    Martins De Resende, Luis Mauricio
    Mosconi, Elaine
    Yoshino, Rui Tadashi
    [J]. SUSTAINABILITY, 2022, 14 (19)