A semi-decentralized control architecture for high-mix-low-volume factories in Industry 4.0

被引：10
|
作者：
Didden, Jeroen B. H. C. [1 ]
Dang, Quang-Vinh [1 ]
Adan, Ivo J. B. F. [1 ]
机构：
[1] Eindhoven Univ Technol, Sch Ind Engn, POB 513, NL-5600 MB Eindhoven, Netherlands
来源：
MANUFACTURING LETTERS | 2021年 / 30卷
关键词：
Industry; 4.0; Decentralized production planning and control; Vertical integration; High-mix-low-volume; RECONFIGURABLE MANUFACTURING SYSTEMS; PHYSICAL PRODUCTION SYSTEMS; DESIGN;
D O I：
10.1016/j.mfglet.2021.09.005
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Industry 4.0 introduces a shift towards a more decentralized planning and control architecture in order to combat the changing production environment. Hence, this paper presents a semi-decentralized control architecture for the high-mix-low-volume industry to improve production planning and control. The proposed architecture consists of three components: the ERP system, a global control unit, and shop floor planning. The system's performance is improved through better use of knowledge and creation of virtual manufacturing cells on the shop floor, allowing for better control in case of uncertainties or changes within product mix and volume. (C) 2021 The Author(s). Published by Elsevier Ltd on behalf of Society of Manufacturing Engineers (SME).
引用
收藏
页码：11 / 14
页数：4
相关论文
共 13 条
  • [1] WORKLOAD CONTROL IN HIGH-MIX-LOW-VOLUME FACTORIES THROUGH THE USE OF A MULTI-AGENT SYSTEM
    Didden, Jeroen B. H. C.
    Dang, Quang-Vinh
    Adan, Ivo J. B. F.
    2022 WINTER SIMULATION CONFERENCE (WSC), 2022, : 1806 - 1817
  • [2] Improving the overall equipment effectiveness in high-mix-low-volume manufacturing environments
    Becker, Juan M. Jauregui
    Borst, Jesper
    van der Veen, Abele
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2015, 64 (01) : 419 - 422
  • [3] A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix-Low-Volume Manufacturing
    Neoh, Siew-Chin
    Morad, Norhashimah
    Lim, Chee-Peng
    Aziz, Zalina Abdul
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2010, 40 (01): : 133 - 146
  • [4] A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture
    Vespoli, Silvestro
    Guizzi, Guido
    Gebennini, Elisa
    Grassi, Andrea
    ANNALS OF OPERATIONS RESEARCH, 2022, 310 (01) : 201 - 221
  • [5] A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture
    Silvestro Vespoli
    Guido Guizzi
    Elisa Gebennini
    Andrea Grassi
    Annals of Operations Research, 2022, 310 : 201 - 221
  • [6] LoRA based, low power remote monitoring and control solution for Industry 4.0 factories and facilities
    Patru, George-Cristian
    Tranca, Dumitru-Cristian
    Costea, Ciprian-Marian
    Rosner, Daniel
    Rughinis, Razvan-Victor
    2019 18TH ROEDUNET CONFERENCE - NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET), 2019,
  • [7] A Review of the High-Mix, Low-Volume Manufacturing Industry
    Gan, Zhi Lon
    Musa, Siti Nurmaya
    Yap, Hwa Jen
    APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [8] Real-Time Decision-Support System for High-Mix Low-Volume Production Scheduling in Industry 4.0
    Kocsi, Balazs
    Matonya, Michael Maiko
    Pusztai, Laszlo Peter
    Budai, Istvan
    PROCESSES, 2020, 8 (08)
  • [9] A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems
    Grassi, Andrea
    Guizzi, Guido
    Santillo, Liberatina Carmela
    Vespoli, Silvestro
    MANUFACTURING LETTERS, 2020, 24 : 43 - 46
  • [10] Lean in High-Mix/Low-Volume industry: a systematic literature review
    Tomasevic, Ivan
    Stojanovic, Dragana
    Slovic, Dragoslav
    Simeunovic, Barbara
    Jovanovic, Ivona
    PRODUCTION PLANNING & CONTROL, 2021, 32 (12) : 1004 - 1019
12