SPDC : An automatic generator of input data for process simulators from process flow data for manufacturing

被引:0
|
作者
Tatsumi, T [1 ]
Ansai, H [1 ]
Mukai, M [1 ]
Komatsu, Y [1 ]
机构
[1] Sony Corp, ULSI R&D Labs, Atsugi, Kanagawa, Japan
关键词
process simulation; data conversion; expert system;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We have developed a system called SPDC, which is designed to automatically generate input data for simulation from process flow data for manufacturing. As this conversion is not one-to-one translation, SPDC prepares databased knowledge called "scenario" from both device and simulation expert engineers. This database is utilized to analyze process flow data for manufacturing and then to synthesize input data for simulation. SPDC enabled device engineers unfamiliar to simulation utilization to prepare input data reducing more than three days work to less than a few minutes work. The quality of the synthesized input data is perfectly comparable to the one written by expert simulation users.
引用
收藏
页码:202 / 205
页数:4
相关论文
共 50 条
  • [1] AUTOMATIC FLOW-CHART GENERATION FROM DATA OBTAINED BY PROCESS SIMULATION
    FUTTERER, E
    ROVER, H
    CHEMIE INGENIEUR TECHNIK, 1991, 63 (09) : 948 - 949
  • [2] Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation
    Farsang, Barbara
    Gomori, Zoltan
    Horvath, Gyula
    Nagy, Gabor
    Nemeth, Sandor
    Abonyi, Janos
    ICHEAP-11: 11TH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING, PTS 1-4, 2013, 32 : 1303 - 1308
  • [3] Maximizing the use of process data from development to manufacturing
    Hill, Claire
    Sinclair, Andrew
    BIOPHARM INTERNATIONAL, 2007, 20 (07) : 38 - 42
  • [4] Pitfalls of automatic use of the process simulators
    Wojtowicz, J
    Palczewska-Tulinska, M
    Plesnar, M
    Oracz, P
    INZYNIERIA CHEMICZNA I PROCESOWA, 2001, 22 (3E): : 1519 - 1524
  • [5] PROPAGATION OF INPUT UNCERTAINTY IN MANUFACTURING PROCESS FLOW SIMULATIONS
    Biller, Bahar
    Mokashi, Anup C.
    2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 3144 - 3155
  • [6] Easing the flow of process data
    Byrum, B
    CHEMICAL ENGINEERING, 1999, 106 (11) : 199 - 199
  • [7] Big Data Process Analytics for Continuous Process Improvement in Manufacturing
    Stojanovic, Nenad
    Dinic, Marko
    Stojanovic, Ljiljana
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 1398 - 1407
  • [8] Data generator for evaluating ETL process quality
    Theodorou, Vasileios
    Jovanovic, Petar
    Abello, Alberto
    Nakuci, Emona
    INFORMATION SYSTEMS, 2017, 63 : 80 - 100
  • [9] Implementation of Data Generator for Process Mining Applications
    Yuzkat, Mecit
    Sen, Bugra
    Caymaz, Hasan Kaan
    Karabiber, Fethullah
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1405 - 1408
  • [10] DATA STRUCTURE AND PROCESS DATA TRAVERSAL IN A MANUFACTURING CELL CONTROLLER
    LI, L
    SANKA, R
    COMPUTERS & INDUSTRIAL ENGINEERING, 1993, 24 (01) : 23 - 32