INTEGRATING SIMULATION-BASED OPTIMIZATION, LEAN, AND THE CONCEPTS OF INDUSTRY 4.0

被引:0
|
作者
Zuniga, Enrique Ruiz [1 ]
Moris, Matias Urenda [1 ]
Syberfeldt, Anna [1 ]
机构
[1] Univ Skovde, Sch Engn Sci, Prod & Automat Engn Div, Box 408, S-54128 Skovde, Sweden
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Nowadays, due to the need of innovation and adaptation for the mass production of customized goods, many industries are struggling to compete with the manufacturing sector emerging in different countries around the world. The understanding and implementation of different improvement techniques is necessary in order to take part in the so-called fourth industrial revolution, Industry 4.0. This paper investigates how two well-known improvement approaches, namely lean and simulation-based optimization, can he combined with the concepts of Industry 4.0 to improve efficiency and avoid moving production to other countries. Going through an industrial case study, the paper discusses how such a combination could be carried out and how the different strengths of the three approaches can be utilized together. The case study focuses on how the efficiency of a production site can be increased and how Industry 4.0 can support the improvement of the internal logistics on the shop floor.
引用
收藏
页码:3828 / 3839
页数:12
相关论文
共 50 条
  • [21] Adoption of Industry 4.0 and lean concepts in hospitals for healthcare operational performance improvement
    Ilangakoon, Tharushi Sandunika
    Weerabahu, Samanthi Kumari
    Samaranayake, Premaratne
    Wickramarachchi, Ruwan
    [J]. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2022, 71 (06) : 2188 - 2213
  • [22] Lean Manufacturing and Industry 4.0
    Anthony, Peter
    [J]. MANUFACTURING ENGINEERING, 2017, 159 (04): : 104 - 104
  • [23] Lean 4.0-A conceptual conjunction of lean management and Industry 4.0
    Mayr, A.
    Weigelt, M.
    Kuehl, A.
    Grimm, S.
    Erll, A.
    Potzel, M.
    Franke, J.
    [J]. 51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 622 - 628
  • [24] Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0
    Paraschos, Panagiotis D.
    Koulinas, Georgios K.
    Koulouriotis, Dimitrios E.
    [J]. ALGORITHMS, 2024, 17 (03)
  • [25] SIMULATION-BASED DYNAMIC SHOP FLOOR SCHEDULING FOR A FLEXIBLE MANUFACTURING SYSTEM IN THE INDUSTRY 4.0 ENVIRONMENT
    Yang, Wenhe
    Takakuwa, Soemon
    [J]. 2017 WINTER SIMULATION CONFERENCE (WSC), 2017, : 3908 - 3916
  • [26] Lean 4.0: Synergies between Lean Management tools and Industry 4.0 technologies
    Elafri, Nedjwa
    Tappert, Jordan
    Rose, Bertrand
    Yassine, Maleh
    [J]. IFAC PAPERSONLINE, 2022, 55 (10): : 2060 - 2066
  • [27] Industry 4.0 Implies Lean Manufacturing: Research Activities in Industry 4.0 Function as Enablers for Lean Manufacturing
    Sanders, Adam
    Elangeswaran, Chola
    Wulfsberg, Jens
    [J]. JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM, 2016, 9 (03): : 811 - 833
  • [28] Integrating Lean Six Sigma and Industry 4.0: developing a design science research-based LSS4.0 framework for operational excellence
    Skalli, Dounia
    Cherrafi, Anass
    Charkaoui, Abdelkabir
    Chiarini, Andrea
    Shokri, Alireza
    Antony, Jiju
    Garza-Reyes, Jose Arturo
    Foster, Monika
    [J]. PRODUCTION PLANNING & CONTROL, 2024,
  • [29] Simulation-based scheduling in automotive industry
    Solding, P
    Andersson, KM
    de Vin, LJ
    [J]. Proceedings of the Fifteenth IASTED International Conference on Modelling and Simulation, 2004, : 401 - 406
  • [30] Simulation-based optimization of an agent-based simulation
    Deckert, Andreas
    Klein, Robert
    [J]. NETNOMICS, 2014, 15 (01): : 33 - 56