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
  • [21] The Relationship Between the Implementation Levels of Industry 4.0 Technologies and Advanced Manufacturing Technologies
    Sari, Tugba
    MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2022, 13 (03) : 52 - 60
  • [22] Territorial relations of manufacturing industry and Industry 4.0 technologies in Hungary at the beginning of the fourth industrial revolution
    Kiss, Eva
    Pager, Balazs
    TER ES TARSADALOM, 2024, 38 (01): : 129 - 154
  • [23] A hybrid Bayesian approach for assessment of industry 4.0 technologies towards achieving decarbonization in manufacturing industry
    Kumar, Devesh
    Soni, Gunjan
    Jabeen, Fauzia
    Tiwari, Neeraj Kumar
    Sariyer, Gorkem
    Ramtiyal, Bharti
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 190
  • [24] 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,
  • [25] 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
  • [26] Manufacturing Flexibility in Industry 4.0
    Wittbrodt, Piotr
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 12275 - 12283
  • [27] Synchroperation in industry 4.0 manufacturing
    Guo, Daqiang
    Li, Mingxing
    Lyu, Zhongyuan
    Kang, Kai
    Wu, Wei
    Zhong, Ray Y.
    Huang, George Q.
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 238
  • [28] Model for Technology Selection in the Context of Industry 4.0 Manufacturing
    Aballay, Claudio
    Quezada, Luis
    Sepulveda, Cristian
    PROCESSES, 2023, 11 (10)
  • [29] The Impact of Industry 4.0 Technologies on Manufacturing Strategies: Proposition of Technology-Integrated Selection
    Abdullah, Fawaz M.
    Saleh, Mustafa
    Al-Ahmari, Abdulrahman M.
    Anwar, Saqib
    IEEE ACCESS, 2022, 10 : 21574 - 21583
  • [30] Are Industry 4.0 technologies enablers of lean? Evidence from manufacturing industries
    Narula, Sanjiv
    Puppala, Harish
    Kumar, Anil
    Luthra, Sunil
    Dwivedy, Maheshwar
    Prakash, Surya
    Talwar, Vishal
    INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2023, 14 (01) : 115 - 138