Solving Repetitive Production Planning Problems. An Approach Based on Activity-oriented Petri Nets

Skołud, B.; Krenczyk, Damian; Davidrajuh, Reggie

doi:10.1007/978-3-319-47364-2_38

Cited by 18 publications

(7 citation statements)

References 9 publications

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“…For example, Service-Oriented Architecture [9], Solving Repetitive Production Planning Problems [26], Assembly Line Balancing Problems [27], Gameplay [11], Flexible Manufacturing Systems [12], Service Modeling [13], and Complex Interconnected Manufacturing Systems [10]. With GPenSIM, control of external hardware is also possible, e.g., a logical control system of a marine diesel engine [7], control of Atlantic salmon farming industry processes [28], and real-time control of a humanoid robot [8].…”

Section: Discussionmentioning

confidence: 99%

“…Activity-Oriented Petri Nets (AOPN) is an approach that consists of two phases [26]. In Phase I, the static Petri Net model is created.…”

Section: The Two Phases Of the Aopn Approachmentioning

confidence: 99%

“…For example, the details about the activities requesting, using, and releasing a variety of resources are added in the second phase [6,26]. The initial markings of the places and the firing times of the transitions are also added in the second phase.…”

Section: Phase Ii: Adding the Run-time Dynamicsmentioning

confidence: 99%

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Performance Evaluation of Discrete Event Systems with GPenSIM

2018

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Petri nets are a useful tool for the modeling and performance evaluation of discrete event systems. Literature reveals that the Petri Net models of real-world discrete event systems are most frequently event graphs (a subclass of Petri nets). Literature also reveals that there are some simple methods for the performance evaluation of event graphs. The general-purpose Petri Net simulator (GPenSIM) is a new simulator that runs on the MATLAB platform. GPenSIM provides a Petri net language, with which Petri net classes and extensions can be developed. GPenSIM also provides functions for performance analysis. Since real-world discrete event systems usually possess a large number of resources, the Petri net models of these systems tend to become huge. Activity-Oriented Petri Nets (AOPN) is an approach that reduces the size of the Petri nets. In addition to the simulator functions, GPenSIM also realizes the AOPN approach on the MATLAB platform. Thus, AOPN is an integral part of GPenSIM. As a running example, a flexible manufacturing system is firstly modeled as an event graph, and then the size of the model is reduced with the AOPN approach. The advantages of GPenSIM and AOPN are discussed in this paper.

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Section: Discussionmentioning

confidence: 99%

“…Activity-Oriented Petri Nets (AOPN) is an approach that consists of two phases [26]. In Phase I, the static Petri Net model is created.…”

Section: The Two Phases Of the Aopn Approachmentioning

confidence: 99%

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Performance Evaluation of Discrete Event Systems with GPenSIM

2018

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“…However, by compact modules obtained by the AOPN approach [11,12] and with the support for modular Petri net model building provided by the GPenSIM software [13], very useful Petri net model can be obtained for multiscale production flow…”

Section: Modelling With Gpensimmentioning

confidence: 99%

Multi-assortment production flow synchronization. Multiscale modelling approach

2017

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Abstract.Increasing competition strongly influence a company that is looking for the efficient method of production control. Companies expand their production flexibility and control method in the whole value chain. In this paper, authors propose a new description of the production inspired by the multiscale modelling. In particular, the idea based on the modelling of concurrent cyclic processes and the ability to use this approach in complex production systems is presented. This paper also discusses modelling and simulation of multiscale production flows using the Activity-Oriented Petri Nets.

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“…The requirements of reducing the manufacturing costs, increasing the efficiency, as well as improving people's working conditions and limiting their presence in risk zones make it necessary to look for new solutions, often based on automation, not only in industrial production enterprises [1,2], but also in the mining industry [3]. Increasing the degree of automation in hard coal mines where various types of threats to the safety of employees are present is one of the issues requiring intensive studies, but special technical and legal requirements mean that solutions from other industries, and even from the mining industry, cannot be easily implemented [4,5].…”

Section: Introductionmentioning

confidence: 99%

Impact of the Selected Disturbing Factors on Accuracy of the Distance Measurement with the Use of Ultrasonic Transducers in a Hard Coal Mine

et al. 2021

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The article presents tests on the possibility of using ultrasonic transducers for accurate distance measurement in hard coal mines. In order to check the impact of selected disturbing factors on the measurement results, test stands were built, and then a full cycle of measurements with the use of different transducers (AR30 and AR41), which were selected and pre-tested in previous research projects, was realized. The impact of such disturbing factors as airborne dust (coal, stone, lime and mixed dust), changes in temperature and humidity on the propagation of ultrasonic waves, amplitude and measurement accuracy was investigated. The tests were preceded by theoretical analysis. It was found that the transducers selected for the tests had a sufficient accuracy and range, so they can be used in the devices planned to be designed, allowing for the determining of the location of a roadheader in hard coal mine roadways, taking into account technical and legal restrictions. It was also specified which disturbing factors should be compensated and what methods and parameters of this compensation should be used.

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Solving Repetitive Production Planning Problems. An Approach Based on Activity-oriented Petri Nets

Cited by 18 publications

References 9 publications

Performance Evaluation of Discrete Event Systems with GPenSIM

Performance Evaluation of Discrete Event Systems with GPenSIM

Multi-assortment production flow synchronization. Multiscale modelling approach

Impact of the Selected Disturbing Factors on Accuracy of the Distance Measurement with the Use of Ultrasonic Transducers in a Hard Coal Mine

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