Dynamic production control system for SME: Implementation on plastic blow-moulding machine

被引:0
|
作者
Yeh C. [1 ]
Lee Y.-T. [1 ]
Liu W.-C. [1 ]
机构
[1] Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City
来源
Lee, Yu-Tang (the.lees527@gmail.com) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 11期
关键词
Advanced planning and scheduling; APS; Dynamic production control; eM-plant; Small and medium-sized enterprises; SME;
D O I
10.1504/IJMR.2016.079468
中图分类号
学科分类号
摘要
Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. Copyright © 2016 Inderscience Enterprises Ltd.
引用
收藏
页码:259 / 273
页数:14
相关论文
共 50 条
  • [1] EFFECTS OF THE DESIGN OF BLOW-MOULDING MACHINE ACCUMULATOR HEADS UPON THE QUALITY OF THE ARTICLE.
    Daubenbuechel, W.
    Kunststoffe - German Plastics, 1976, 66 (01): : 7 - 9
  • [2] Mechatronics Design and Implementation of a Smart Plastic Injection Moulding Machine
    Ryalat, Mutaz
    Alawamleh, Hashem
    Elmoaqet, Hisham
    Almtireen, Natheer
    2023 11TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION, ICCMA, 2023, : 352 - 357
  • [3] Iterative learning control of a plastic injection moulding machine
    Dorner, Dominik
    Radermacher, Tobias
    Wagner, Bernhard
    Weber, Juergen
    AT-AUTOMATISIERUNGSTECHNIK, 2014, 62 (03) : 226 - 236
  • [4] PID neural network temperature control system in plastic injecting-moulding machine
    Shu, Huailin
    Shu, Hua
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 251 - +
  • [5] Application of a Web-based monitoring and control system in plastic rotational moulding machine
    Rodrigues, M
    Mendes, J
    Fonseca, J
    2004 IEEE International Conference on Industrial Technology (ICIT), Vols. 1- 3, 2004, : 819 - 823
  • [6] Simulation study of PID neural network temperature control system in plastic injecting-moulding machine
    Shu, Huai-Lin
    Shu, Hua
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 492 - 497
  • [7] Machine Learning for Optimization of Energy and Plastic Consumption in the Production of Thermoplastic Parts in SME
    Willenbacher, Martina
    Scholten, Jonas
    Wohlgemuth, Volker
    SUSTAINABILITY, 2021, 13 (12)
  • [8] CRST system: Radial wall thickness control for accumulator head blow moulding
    Agnew, B
    Gotti, C
    BLOW MOULDING TECHNOLOGIES FOR THE 21ST CENTURY - BLOW MOULDING RETEC '97, CONFERENCE PROCEEDINGS, 1997, : 112 - 125
  • [9] Machine vision system for quality control of molded plastic packaging
    Lenty, Bartosz
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2019, 2019, 11176
  • [10] Design and Implementation of Dynamic Positioning Control System for USV
    Ngoc-Huy Tran
    Choi, Hyeung-Sik
    Oh, Ji-Youn
    Jeong, Sang-Ki
    AETA 2015: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES, 2016, 371 : 633 - 644