Generalized discrete event system specification: a state-of-the-art study

Zacharewicz, Grégory

doi:10.1177/0037549718777626

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Giambiasi proposed the generalized discrete-event system specification (GDEVS) 10,22 to represent continuous-time signals through piecewise polynomial functions. In GDEVS, an event comprises a tuple of values that represent the coefficients of a polynomial function that remains valid between the current event until the next one.…”

Section: Approaches To Discrete-event Representation Of Continuous Sy...mentioning

confidence: 99%

Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods

Castro,

Bergonzi,

Marcosig

et al. 2024

SIMULATION

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In this work, we attempt to bring together the origins, main results, and recent advances on discrete-event simulation of continuous-time systems. Starting from the early approaches that aimed to represent continuous-time dynamics within the discrete-event system specification (DEVS) formalism framework, the work shows how these ideas gave place to the formalization of the quantized state system (QSS) family of numerical integration algorithms. Then, we describe the QSS algorithms, their properties, their extensions, and the main practical software tools implementing them. We also present a selection of simulation examples illustrating the main features and advantages through comparisons with state-of-the-art continuous-time simulation solvers.

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Section: Approaches To Discrete-event Representation Of Continuous Sy...mentioning

confidence: 99%

Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods

Castro,

Bergonzi,

Marcosig

et al. 2024

SIMULATION

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show abstract

“…If the 𝐸 𝑖 value is too small, it can be combined with the expected frequencies in adjacent class intervals. The corresponding 𝑂 𝑖 values should also be combined and K should be reduced by one for each combined cell [25].…”

Section: Chi-square Testmentioning

confidence: 99%

Redesigning Post-Operative Processes Using Data Mining Classification Techniques

Alwattar¹

2021

IJSECS

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Data mining classification models are developed and investigated in this paper. These models are adopted to develop and redesign several business processes based on post-operative data. Post-operative data were collected and used via the Waikato Environment for Knowledge Analysis (WEKA), to investigate the factors influencing patients’ admission after surgery and compare the developed DM classification models. The results reveal that each implemented DM technique entails different attributes affecting patients’ post-surgery admission status. The comparison suggests that neural networks outperform other classification techniques. Further, the optimal number of beds required to accommodate post-operative patients is investigated. The simulation was conducted using queuing theory software to compute the expected number of beds required to achieve zero waiting time. The results indicate that the number of beds required to accommodate post-surgery patients waiting in the queue is the length of 1, which means that one bed will be available due to patient discharge.

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“…proposed in previous works [19] a first tentative to represent service in simulation. We therefore focus in this paper on the establishing operations for a single service coupling in the G-DEVS formalism [20]. This discrete formalism is selected because of its formal property and its time management capability.…”

Section: Modeling Process Approaches and Pssmentioning

confidence: 99%

Smart Product Service System: Process Value Model in the Framework 3DCE

Alix

Zacharewicz²

2021

IFIP Advances in Information and Communication Technology

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The world industrial economy has turned into an economy of service over the past two decades. Evidence can be easily found, such as the shift of more and more manufacturers from traditional product-centered logic towards a service-centered logic. Transactional business models are evolving towards recurring revenue models, which raises questions about the new value proposition to be met. The addition of complementary services to the product to maintain, among other things, the performance of assets throughout the whole PSS life cycle presents both an opportunity and a complexity. To make this integration sustainable, we suggest operationalizing the PSS concept so that the value proposition is customer oriented, considering simultaneously the engineering of the offering, the processes, and the support network. We suggest developing scenarios of new value propositions based on service value process models. Our contribution will present a three-dimensional engineering framework as well as a service process value model.

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Generalized discrete event system specification: a state-of-the-art study

Cited by 4 publications

References 18 publications

Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods

Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods

Redesigning Post-Operative Processes Using Data Mining Classification Techniques

Smart Product Service System: Process Value Model in the Framework 3DCE

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