Intelligent VSM Model: a way to adopt Industry 4.0 technologies in manufacturing industry

被引:2
|
作者
Mariappan, Raja Chandra Sekar [1 ]
Veerabathiran, Anbumalar [1 ]
Paranitharan, K. P. [2 ]
Vimal, K. E. K. [3 ]
机构
[1] Velammal Coll Engn & Technol, Dept Mech Engn, Madurai 625009, Tamil Nadu, India
[2] TVS Sensing Solut Pvt Ltd, Dept Ind Engn, Madurai 625122, Tamil Nadu, India
[3] Natl Inst Technol Tiruchirappalli, Dept Prod Engn, Trichy 620015, India
关键词
Intelligent value stream mapping; Industry; 4.0; Internet of things (IoT); Kaizen; STREAM; SIMULATION;
D O I
10.1007/s00170-023-12406-w
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the present scenario, the industry and manufacturers find hardship in running the business profitably by enhancing the production and efficiency of the system, Multiple factors influence the industry to meet the customer's requirements and to sustain itself in this competitive environment. The purpose of this research is to develop an Intelligent VSM (IVSM) Model which integrates with Industry 4.0 and lean tools to monitor the real-time manufacturing setup with recent trends in information technology. Our research is focused on developing an IVSM system enabled by IoT for the industry which caters for the need to enhance the performance of any manufacturing setup. A study has been conducted in an electronics component industry through the current state IVSM, and the IVSM Model for the future state was designed and implemented. The IoT-enabled future state Intelligent VSM system facilitates the need of today's dynamic manufacturing environment scenario, which continuously monitors through an integrated efficiency monitoring system (IEMS). The improved performance of the system is visualized in the dashboard at the specified regular intervals. A major highlight of this study is reduction in the lead time from 35.5 to 24 days, a reduction in the time required to verify the results of PDCA using IVSM from 30 to 1 h, and a 0.9% improvement in overall process cycle efficiency. Further to improve the effectiveness of the Intelligent VSM system, Kaizen activities have been implemented to eliminate the shortfalls and increase the efficiency in the future DVSM system. The proposed system integrates all the processes in the industry to predict the uncertainty. This research work can further extend to all other manufacturing and service support systems to integrate SMART sustainable systems and to predict critical conditions in advance.
引用
收藏
页码:2195 / 2214
页数:20
相关论文
共 50 条
  • [31] Meat 4.0: Principles and Applications of Industry 4.0 Technologies in the Meat Industry
    Echegaray, Noemi
    Hassoun, Abdo
    Jagtap, Sandeep
    Tetteh-Caesar, Michelle
    Kumar, Manoj
    Tomasevic, Igor
    Goksen, Gulden
    Lorenzo, Jose Manuel
    APPLIED SCIENCES-BASEL, 2022, 12 (14):
  • [32] That's the way to Industry 4.0
    So geht's zu Industrie 4.0
    Lantzke, Katharina, 2016, Informationsgesellschaft Technik mbH (124): : 1 - 2
  • [33] The way to the industry 4.0 roadmap
    Braun A.
    Ohlhausen P.
    Alt C.
    Bahlinger D.
    Chaves D.C.
    Egeler M.
    Gramespacher S.
    Matzka J.
    Steinbeck J.
    Weber C.
    ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2018, 113 (04): : 254 - 257
  • [34] Smart Manufacturing and Industry 4.0
    Barari, Ahmad
    Tsuzuki, Marcos Sales Guerra
    APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [35] INDUSTRY 4.0 TRENDS IN INTELLIGENT MANUFACTURING AUTOMATION EXPLORING MACHINE LEARNING
    Hoover, William
    Guerra-Zubiaga, David A.
    Banta, Jeremy
    Wandene, Kevin
    Key, Kaleb
    Gonzalez-Badillo, Germanico
    PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 2B, 2022,
  • [36] Lean Manufacturing and Industry 4.0
    Anthony, Peter
    MANUFACTURING ENGINEERING, 2017, 159 (04): : 104 - 104
  • [37] Industry 4.0 in Biopharmaceutical Manufacturing
    Markarian, Jennifer
    BIOPHARM INTERNATIONAL, 2018, 31 (07) : 36 - 38
  • [38] Advanced Manufacturing Metrology in Context of Industry 4.0 Model
    Majstorovic, Vidosav D.
    Durakbasa, Numan
    Takaya, Yasuhiro
    Stojadinovic, Slavenko
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON MEASUREMENT AND QUALITY CONTROL - CYBER PHYSICAL ISSUE (IMEKO TC 14 2019), 2019, : 1 - 11
  • [39] Special issue on 'new transdisciplinary practices for intelligent manufacturing for industry 4.0'
    Peruzzini, Margherita
    Wognum, Nel
    Verhagen, Wim
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 35 (01) : 1 - 3
  • [40] Manufacturing Flexibility in Industry 4.0
    Wittbrodt, Piotr
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 12275 - 12283