Modeling and analysis of semiconductor manufacturing systems with degraded behavior using Petri nets and siphons

被引:24
|
作者
Jeng, MD [1 ]
Xie, XL
机构
[1] Natl Taiwan Ocean Univ, Dept Elect Engn, Chilung 202, Taiwan
[2] LGIPM, F-57045 Metz 1, France
[3] ENIM Ile Saulcy, INRIA, MACSI Team, F-57045 Metz 1, France
来源
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION | 2001年 / 17卷 / 05期
关键词
deadlock analysis; degraded behavior; Petri nets; semiconductor manufacturing; siphons;
D O I
10.1109/70.964659
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Degraded behavior, such as reworks, failures, and maintenance, of a semiconductor manufacturing system (SMS) is not negligible in practice. When modeled by Petri nets, degraded behavior may be represented as initially unmarked elementary circuits, interpreted as local processing cycles. Most existing "well-behaved" net classes for manufacturing have problems of describing such cycles and thus may have difficulties in modeling SMSs. In this paper, we extend the class of nets in [10] into the class of RCN*merged nets that model SMSs with such cycles. To model an SMS, we first describe the behavior of each resource type using a state-machine module, called RCN. Any RCN can be constructed as a connection of acyclic subnets called blocks, where one of them denotes the normal behavior of the resource type and the others denote its degraded behavior. Next, an RCN* merged net for the entire system is built by fusing all modules, conforming to three constraints, along their common transition subnets, which represent their synchronization. In the analysis of RCN* merged nets, we prove that their liveness and reversibility depend on the absence of unmarked siphons, which are structural objects that mixed integer programming can check rapidly. Examples are given to illustrate the proposed approach.
引用
收藏
页码:576 / 588
页数:13
相关论文
共 50 条
  • [41] Hybrid aspects of modelling manufacturing systems using modified Petri nets
    Drath, R
    Engmann, U
    Schwuchow, S
    INTELLIGENT MANUFACTURING SYSTEMS 1998 (IMS'98), 1999, : 145 - 151
  • [42] Fault Modeling in Discrete Event Systems Using Petri Nets
    Nazemzadeh, Payam
    Dideban, Abbas
    Zareiee, Meisam
    ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2013, 12 (01)
  • [43] Modeling of Discrete-Time Systems Using Petri Nets
    Baniardalani, Sobhi
    2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019), 2019, : 1188 - 1192
  • [44] Modeling resource management in cellular systems using Petri nets
    JaimesRomero, FJ
    MunozRodriguez, D
    Molina, C
    Tawfik, H
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1997, 46 (02) : 298 - 312
  • [45] Behavioral modeling for mobile agent systems using Petri nets
    Pouyan, AA
    Reeves, S
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 4935 - 4940
  • [46] Modeling the reliability of distribution power systems using Petri nets
    Volovoi, V
    Kavalieratos, G
    Waters, M
    Mavris, D
    2004 11TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER, 2004, : 567 - 572
  • [47] Using High-Level Petri Nets with Object-Orientation for Modeling Flexible Manufacturing Systems
    Brezovan, Marius
    Stanescu, Liana
    2017 18TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2017, : 477 - 482
  • [48] Modeling of hybrid systems using continuous and hybrid Petri nets
    David, R
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL WORKSHOP ON PETRI NETS AND PERFORMANCE MODELS, 1997, : 47 - 58
  • [49] Modeling, Analysis, Simulation, and Control of Laboratory Automation Systems Using Petri Nets—Analysis and Control
    Bristol-Myers Squibb, Princeton, NJ, United States
    JALA J. Assoc. Lab. Autom., 2008, 2 (103-115): : 103 - 115
  • [50] Towards Formal Modeling and Analysis of SystemJ GALS Systems using Coloured Petri Nets
    Zhang, Weiyi
    Salcic, Zoran
    Malik, Avinash
    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2019, : 152 - 159