• Title/Summary/Keyword: Time Petri nets(TPN)

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A SCHEDULING ANALYSIS OF FMS USING TPN UNFOLDING (타임패트리 네트 UNFOLDING을 이용한 FMS의 스케줄링 분석)

  • 이종근
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.205-205
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    • 2000
  • In this paper, we are proposed an analysis method of the operation schedule in FMS using Time Petri Nets(TPN) unfolding. TPN's unfolding is one of the analysis methods after changed non-cyclic net from the concurrent net without to expand the state explosion. We are illustrated this proposed to analyze a schedule problem in Ratio-driven FMS modeling.

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Improved Region-Based TCTL Model Checking of Time Petri Nets

  • Esmaili, Mohammad Esmail;Entezari-Maleki, Reza;Movaghar, Ali
    • Journal of Computing Science and Engineering
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    • v.9 no.1
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    • pp.9-19
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    • 2015
  • The most important challenge in the region-based abstraction method as an approach to compute the state space of time Petri Nets (TPNs) for model checking is that the method results in a huge number of regions, causing a state explosion problem. Thus, region-based abstraction methods are not appropriate for use in developing practical tools. To address this limitation, this paper applies a modification to the basic region abstraction method to be used specially for computing the state space of TPN models, so that the number of regions becomes smaller than that of the situations in which the current methods are applied. The proposed approach is based on the special features of TPN that helps us to construct suitable and small region graphs that preserve the time properties of TPN. To achieve this, we use TPN-TCTL as a timed extension of CTL for specifying a subset of properties in TPN models. Then, for model checking TPN-TCTL properties on TPN models, CTL model checking is used on TPN models by translating TPN-TCTL to the equivalent CTL. Finally, we compare our proposed method with the current region-based abstraction methods proposed for TPN models in terms of the size of the resulting region graph.

JOB Scheduling Analysis in FMC using TPN (TPN을 이용한 FMC의 JOB 스케쥴링 분석)

  • 안광수
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.3
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    • pp.13-19
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    • 1999
  • In this paper, we suggests a WIP (Work In Process) of FMC (Flexible Manufacturing Cell) analysis methods based on the TPN (Time Petri Nets) unfolding. Unfolding of PN is a partial order-based method for the verification of concurrent system without the state space explosion. The aim of this work is to formulate the general cyclic state scheduling problem to minimize the WIP to satisfy economical constraints. The method is based on unfolding of the original net into the equivalent acyclic description.

Dynamic Incidence Matrix Representation of Timed Petri Nets and Its Applications for Performance Analysis

  • Shon, J.G.;Hwang, C.S.;Baik, D.K.
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.2
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    • pp.128-147
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    • 1991
  • We propose a dynamic incidence matrix (DIM) for reflecting states and time conditions of a timed Petri net (TPN) explicitly. Since a DIM consists of a conventional incidence matrix, two time-related vectors and two state-related vectors, we can get the advantages inherent in the conventional incidence matrix of describing a static structure of a system as well as another advantage of expressing time dependent state transitions. We introduce an algorithm providing the DIM with a state transition mechanism. Because the algorithm is, in fact, an algorithmic model for discrete event simulation of TPN models, we provide a theoretical basis of model transformation of a TPN model into a DEVS(Discrete Event system Specification) model. By executing the algorithm we can carry out performance analysis of computer communication protocols which are represented TPN models.

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A Scheduling Analysis of FMS Using TPM Unfolding (타임 패트리넷 Unfolding을 이용한 FMS의 스케쥴링 분석)

  • Lee, Jong-Geun
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.4
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    • pp.344-350
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    • 2001
  • In this paper, we are focused on the analysis of acyclic schedule for the determination of the opti-mal cycle time and minimization of work in process. Especially, this paper deals with the product ratio-driven cyclic scheduling problem in FMS with different products and ratio using the TPN(Time Petri Nets)un-folding.

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Timed Petri-nets Modeling and Performance Evaluation of Modular Cell TFT-LCD Manufacturing System (모듈러 셀 TFT-LCD 제조시스템의 시간 페트리네트 모델링과 성능평가)

  • Lee, Sang-Moon;Jang, Seok-Ho;Kang, Sin-Jun;Woo, Kwang-Bang
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.10
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    • pp.1303-1310
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    • 1999
  • In this paper, the Timed Petri-Nets(TPN) modeling of Modular Cell Manufacturing Systems(MCMS) was investigated to overcome the limit of batch mode operation, which has been one of the most popular manufacturing types to produce an extensive industrial output and to be able to adopt to suitable and quickly changing manufacturing environments. A model of the MCMS was developed in reference to the actual TFT-LCD manufacturing system. TFT-LCD manufacturing system is not mass-productive in batch mode, but it operates in the form of MCMS which consists of a sequence of several cells with four processes of operation, including those of color filter(C/F), TFT, cell, and module. The cell process is further regrouped in those of Front-End and Back-End. For the Back-End cell process, it is reconstructed into a virtual model, consisting of three cells. The TPN modeling encompasses those properties, such as states and operations of machines, the number of buffers, and the processing time. The performance of the modeling was further examined in terms of scheduling system. The productivity in each cells was examined with respect to the change of failure rate of the cell machines and Automatic Guided Vehicles(AGV) using simulation by TPN.

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Timed fuzzy petri net model for fuzzy control model (퍼지 제어를 위한 시간형 퍼지 페트리넷 모델)

  • 윤정모
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.5
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    • pp.9-18
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    • 1997
  • The petri net is a graphic model which is adaptable in modeling a complex concurrent parallel ssystem, and it is widely used in the fields of industrial enginering, computer science, electric engineeringand chemistry. Recently, the net is applied to the communication protocol, and extended to represent complex systems. There are several extended petri nets named as TPN (timed petri net), SPN (stochastic petri net), FPN(fuzzy petri net) and TFPN(timed fuzzy petri net). Accodingly, this SPN (stochastic petri net), FPN (fuzzy petri net) and TFPN(timed fuzzy petri net). Accodingly, this paper proposes an advanced communication protocol modeling method using the fuzzy value of the transition and firing delay time as the arguments of the function. The proposed method can produce clearer firing rules, and it is supposed to be used to design and analyse communication protocols in great effection.

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Context-Awareness Modeling Method using Timed Petri-nets (시간 페트리 넷을 이용한 상황인지 모델링 기법)

  • Park, Byung-Sung;Kim, Hag-Bae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.354-361
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    • 2011
  • Increasing interest and technological advances in smart home has led to active research on context-awareness service and prediction algorithms such as Bayesian Networks, Tree-Dimensional Structures and Genetic prediction algorithms. Context-awareness service presents that providing automatic customized service regarding individual user's pattern surely helps users improve the quality of life. However, it is difficult to implement context-awareness service because the problems are that handling coincidence with context information and exceptional cases have to consider. To overcome this problem, we proposes an Intelligent Sequential Matching Algorithm(ISMA), models context-awareness service using Timed Petri-net(TPN) which is petri-net to have time factor. The example scenario illustrates the effectiveness of the Timed Petri-net model and our proposed algorithm improves average 4~6% than traditional in the accuracy and reliability of prediction.