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
  • [1] Abd Rahman MS., 2020, INDONESIAN J ELECT E, V18, P1040, DOI DOI 10.11591/IJEECS.V18.I2.PP1040-1047
  • [2] Proposal of an innovative ergonomic SMED model in an automotive steel springs industrial unit
    Afonso, Maria
    Gabriel, Ana Teresa
    Godina, Radu
    [J]. ADVANCES IN INDUSTRIAL AND MANUFACTURING ENGINEERING, 2022, 4
  • [3] Lean manufacturing and internet of things-A synergetic or antagonist relationship?
    Anosike, Anthony
    Alafropatis, Konstantinos
    Garza-Reyes, Jose Arturo
    Kumar, Anil
    Luthra, Sunil
    Rocha-Lona, Luis
    [J]. COMPUTERS IN INDUSTRY, 2021, 129
  • [4] Developing a key performance indicators tree for lean and smart production systems
    Ante, G.
    Facchini, F.
    Mossa, G.
    Digiesi, S.
    [J]. IFAC PAPERSONLINE, 2018, 51 (11): : 13 - 18
  • [5] Digitalization of the Kanban System
    Ayabakan, Murat
    Yilmaz, Ersoy
    [J]. 2019 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET), 2019,
  • [6] Basl J, 2017, MANAG PROD ENG REV, V8, P3, DOI 10.1515/mper-2017-0012
  • [7] Bhattacharya I, 2021, INDIAN J ENG MATER S, V28, P89
  • [8] The complementary effect of lean manufacturing and digitalisation on operational performance
    Buer, Sven-Vegard
    Semini, Marco
    Strandhagen, Jan Ola
    Sgarbossa, Fabio
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (07) : 1976 - 1992
  • [9] Lean Six Sigma and Industry 4.0 integration for Operational Excellence: evidence from Italian manufacturing companies
    Chiarini, Andrea
    Kumar, Maneesh
    [J]. PRODUCTION PLANNING & CONTROL, 2021, 32 (13) : 1084 - 1101
  • [10] One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study
    Ciano, Maria Pia
    Dallasega, Patrick
    Orzes, Guido
    Rossi, Tommaso
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (05) : 1386 - 1410