A model of simulation environment for prediction and optimisation of production processes

被引:2
|
作者
Drstvensek, I [1 ]
Ficko, M [1 ]
Pahole, I [1 ]
Balic, J [1 ]
机构
[1] Univ Maribor, Fac Mech Engn, SLO-2000 Maribor, Slovenia
关键词
process planning; technological database; genetic algorithm;
D O I
10.1016/j.jmatprotec.2004.04.315
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Paper describes means and methods for computer based optimisation of production processes using anew approach based on technological database (TDB) with genetic algorithm incorporated into a database management system (DBMS). The TDB serves as a store of tools and machine tools from which they can be assigned to different work operations. Work operations are basic entities of orders placed into queues. The goal of the model is to find available resources from the TDB in order to empty the queue in shortest time with lowest costs. To this purpose the model consist the technological database whose DBMS includes a genetic algorithm based optimiser. It checks the orders queue and searches for appropriate combinations of tools and machine tools from the TDB, which can be combined into needed work operations. It also performs an optimisation of time and costs according to so called static parameters of tools and machine tools. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:1641 / 1646
页数:6
相关论文
共 50 条
  • [41] Optimisation of Biodiesel Production Using Taguchi Model
    Deepayan Priyadarshi
    Kakoli Karar Paul
    Waste and Biomass Valorization, 2019, 10 : 1547 - 1559
  • [42] An integrated model for optimisation of production and quality costs
    Abdul-Kader, Walid
    Ganjavi, Ozhand
    Solaiman, Aim
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (24) : 7357 - 7370
  • [43] Development of an MCTS Model for Hydrogen Production Optimisation
    Komasilovs, Vitalijs
    Zacepins, Aleksejs
    Kviesis, Armands
    Ozols, Kaspars
    Nikulins, Arturs
    Sudars, Kaspars
    PROCESSES, 2023, 11 (07)
  • [44] Optimisation of Biodiesel Production Using Taguchi Model
    Priyadarshi, Deepayan
    Paul, Kakoli Karar
    WASTE AND BIOMASS VALORIZATION, 2019, 10 (06) : 1547 - 1559
  • [45] Process Optimisation Model for FeMn and SiMn Production
    Njamen, E. Jipnang
    Monheim, P.
    Oterdoom, H. J.
    Odenthal, H. J.
    Schlueter, J.
    AISTECH 2013: PROCEEDINGS OF THE IRON & STEEL TECHNOLOGY CONFERENCE, VOLS I AND II, 2013, : 951 - 958
  • [46] HIERARCHICAL OPTIMISATION MODEL OF THE MINING PRODUCTION PROCESS
    Spisak, J.
    Babjakova, A.
    Lisuch, J.
    PROCEEDINGS OF 11TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE, 2010, 2010, : 447 - 450
  • [47] Novel spatiotemporal graph attention model for production prediction and energy structure optimization of propylene production processes
    Lin, Xiaoyong
    Li, Zihui
    Han, Yongming
    Chen, Zhiwei
    Geng, Zhiqiang
    COMPUTERS & CHEMICAL ENGINEERING, 2024, 181
  • [48] Dynamic Simulation of Continuous Processes in the Labview Environment
    Samarskiy, A. P.
    RUSSIAN JOURNAL OF GENERAL CHEMISTRY, 2022, 92 (12) : 2957 - 2964
  • [49] An Integrated Simulation-Fuzzy Model for Preventive Maintenance Optimisation in Multi-Product Production Firms
    Davari, Ali
    Ganji, Maliheh
    Sajadi, Seyed Mojtaba
    JOURNAL OF SIMULATION, 2022, 16 (04) : 374 - 391
  • [50] A time domain dynamic simulation model for stability prediction of infeed centerless grinding processes
    Li, Hongqi
    Shin, Yung C.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2007, 129 (03): : 539 - 550