Using Unified Enhanced Time Petri Net Models for Cyber-Physical System Development

Leţia, Tiberiu; Kilyen, Attila O.

doi:10.1016/j.ifacol.2018.03.043

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…For self-adaptive CPS design, García-Valls et al support on-line adaptability through the use of parametric models, whereas modelling and verification are based on Petri nets (García-Valls et al 2018). Letia and Kilyen (2018) also rely on Petri nets combined with fuzzy logic and rule-based systems to propose Unified Enhanced Time Petri Nets models.…”

Section: Modelling Techniquesmentioning

confidence: 99%

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

et al. 2022

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The fourth industrial revolution is shaping a new industrial landscape. A variety of technologies related to software, information and communication technologies embody a ubiquitous digital and connectivity era. These technologies enable the creation of new products with the integration of connectivity, data collection and processing capacities which require combining engineering disciplines. Increasing product multidisciplinarity compels companies to adapt their product development practices. The scientific literature offers a variety of concepts and techniques to support multidisciplinary product development. This paper seeks to organize the landscape of concepts and techniques available for multidisciplinary product development. An extensive literature review was conducted, and 236 concepts and techniques were identified. Multidisciplinary products of interest deal with both software and hardware development and can be encountered through the denominations of cyber-physical systems, mechatronics and smart products and systems. An in-depth analysis led to the classification and mapping, for each product denomination, of the concepts and techniques available to support their development. The classification relies on a four-level model paired with a decision tree to thoroughly sort the variety of concepts and techniques into the approach, process, method, and tool levels. The mapping between the sorted concepts and techniques enabled the generation of graphical representations called cartographies. These cartographies serve to support companies’ transformation towards the fourth industrial revolution from the product development perspective by giving a general overview of the related literature, and guiding them in the identification of the most suitable approaches, processes, methods and tools.

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Section: Modelling Techniquesmentioning

confidence: 99%

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

et al. 2022

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“…(2017), Letia and Kilyen (2018) Work simplification IT adoption by organisations The degree, to which information technology replaces the mental component of work particularly in manufacturing applications Jeyaraj et al (2006) 43…”

Section: Perceived Riskmentioning

confidence: 99%

“…An organisation that implemented I4.0 is expected to have a system that is adaptive by plugand-work mechanism (Monostori et al, 2016), autonomous (Letia & Kilyen, 2018), decentralised (Terziyan et al, 2018), dependable (Alguliyev et al, 2018), interoperable (Priyadarshinee et al, 2017), capable of real-time operations (Terziyan et al, 2018), remote monitoring and control (Sung, 2018), resilient (Chang et al, 2016), robust (Alguliyev et al, 2018), capable of handling full information (Sabherwal & King, 1991), flexible (Browne et al, 1984), capable of maintaining data lifecycle (Tao et al, 2018), usable (Priyadarshinee et al, 2017), and with intelligent lots (Li et al, 2012). Given that such capabilities are made possible by critical I4.0 technologies, an organisation is more likely to confirm the continued adoption of such technology, based on trials when its performance meets prior expectations.…”

Section: Post-adoption Stagementioning

confidence: 99%

Defining stages of the Industry 4.0 adoption via indicator sets

Himang

Ocampo

Obiso

et al. 2020

Engineering Management in Production and Services

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As Industry 4.0 offers significant productivity improvements, its relevance has grown across various organisations. While it captures the attention of both the industry and the academia, very few efforts have been made to streamline useful indicators across stages of its implementation. Such work facilitates the development of strategies that are appropriate for a specific stage of implementation; therefore, it would be significant to a variety of stakeholders. As a result, this paper aims to establish an indicator system for adopting Industry 4.0 within the context of the three stages of the innovation adoption: (i) pre-adoption, (ii) adoption, and (iii) post-adoption. First, a comprehensive review was performed with a search expanding into the literature on innovation and technology adoption. Second, the resulting indicators were filtered for relevance, redundancy, description, and thorough focus discussions. Finally, they were categorised by their stage of adoption. From 469 innovation adoption indicators found in the literature, this work identified a total of 62 indicators relevant for the Industry 4.0 adoption, in which 11, 14, and 37 of them comprised the three stages, respectively. Case studies from two manufacturing firms in the Philippines were reported to demonstrate the applicability of the proposed indicator system. This work pioneers the establishment of an indicator system for the Industry 4.0 adoption and the classification of such indicators into three stages — pre-adoption, adoption, and post-adoption — which would serve as a framework for decision-makers, practitioners, and stakeholders in planning, strategy development, resource allocation, and performance evaluation of the Industry 4.0 adoption.

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“…Since their introduction, they have been continuously improved and are increasingly being used to realistically model production systems. In order to be able to model modern production systems, which also involve continuous states, improved variants of Petri nets can be used, such as Hybrid Petri Nets (HPN) and Timed Petri Nets (TPN) [30,31].…”

Section: Introductionmentioning

confidence: 99%

Petri Net Modeling of a Production System With Parallel Manufacturing Processes

et al. 2023

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This paper presents the modelling and control of a flexible manufacturing system with integrated Industry 4.0 concepts using Petri nets. The flexible manufacturing system is composed of 7 workstations that ensure the assembly and disassembly of two types of products on two parallel production processes. The two parallel processes, in-line and in-cell production processes, ensure the assembly of the products and disassembly of the defects with a minimal number of stations. wo types of controls, local and centralized, are implemented in the control of production processes. The local control, based on the PLCs of each station, ensures the control of the assembly process at the workstation level. The centralized control ensures the obtaining of desired results at the level of interaction between the stations and also the implementation of the optimization algorithm results. To better understand and develop the control of the system a Petri net model was developed. Based on the properties of the Petri nets was possible to simulate and verify the assembly process and data flow inside the flexible manufacturing system. The developed model also ensures no bottlenecks at the data transmission and processing of the production information from the client to the production hardware.

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Using Unified Enhanced Time Petri Net Models for Cyber-Physical System Development

Cited by 8 publications

References 12 publications

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

Defining stages of the Industry 4.0 adoption via indicator sets

Petri Net Modeling of a Production System With Parallel Manufacturing Processes

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