Modelling and Simulation for Production Logistics System in Industrial Enterprises Based on Hybrid Network

Xiao, Ning; Ni, Cheng; Guo, Shuang

doi:10.2507/ijsimm16(1)co3

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…Hybrid ANN improves the learning and generalization of ANN in disease forecasting by using data transformation strategies based on improved algorithms, integrating forecast models, and using technology platforms [26].…”

Section: • Medical Diagnosismentioning

confidence: 99%

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Abdel‐Salam

Sohail

et al. 2021

Nonlinear Dyn

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A novel approach to link the environmental stresses with the COVID-19 cases is adopted during this research. The time-dependent data are extracted from the online repositories that are freely available for knowledge and research. Since the time series data analysis is desired for the COVID-19 time-dependent frequent waves, here in this manuscript, we have developed a time series model with the aid of "nonlinear autoregressive network with exogenous inputs (NARX)" approach. The distribution of infectious agent-containing droplets from an infected person to an uninfected person is a common form of respiratory disease transmission. SARS-CoV-2 has mainly spread via short-range respiratory droplet transmission. Airborne transmission of SARS-CoV-2 seems to have occurred over long distances or times in unusual conditions; SARS-CoV-2 RNA was found in PM10 collected in Italy. This research shows that SARS-CoV-2 particles adsorbed to outdoor PM remained viable for a long time, given the epidemiology of outdoor

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Section: • Medical Diagnosismentioning

confidence: 99%

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Abdel‐Salam

Sohail

et al. 2021

Nonlinear Dyn

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“…With the growing demand for personalized products, manufacturing enterprises are engaged in an increasingly fierce competition in the market [1,2]. To survive the market competition, many manufacturing enterprises have applied integration measures at all levels of the production process, ranging from the integration between planning and scheduling to that between production and transport.…”

Section: Introductionmentioning

confidence: 99%

Batch Optimization in Integrated Scheduling of Machining and Assembly

Yang¹,

Ba²,

Xu³

et al. 2019

Int. j. simul. model.

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To survive the fierce market competition, many manufacturing enterprises have applied integration measures at all levels of the production process. Against this backdrop, this paper mainly establishes a job-shop scheduling problem (JSP) that aims to minimize the makespan of products through integrated scheduling of machining and assembly under batch production environment. Then, the established problem was modelled considering the influence of different batch number on the makespan. In view of the complexity and discreteness of the established problem, a genetic algorithm (GA) was designed to obtain the optimal scheduling sequence in different batch production situations. The effectiveness of our problem model and algorithm was verified through the analysis on an example with different batch conditions. The research findings help to design a realistic and feasible scheduling plan for manufacturing enterprises.

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“…Applications such as modelling, control, and performance analysis of manufacturing process [12], analysis and design of distributed systems [13], design and performance analysis of communication protocols [14], business process modelling and simulation [15], logistics systems [16,17], digital hardware design [18], among others, have been successfully addressed by using the PN formalism.…”

Section: Introductionmentioning

confidence: 99%

A Framework Based on Matlab/Simulink for the Simulation of DES Using Petri Net Models

Alcaraz-Mejia¹,

Campos-Rodríguez²

2019

Int. j. simul. model.

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This paper proposes the construction of a framework for the simulation of Petri net models based on Matlab/Simulink. The building blocks of the proposed framework use some basic elements provided by the SimEvents® toolbox. The objective is to provide a flexible and powerful environment that captures the execution conditions of real systems, besides a natural integration to Matlab environment, for the simulation of Petri nets. This framework simplifies the construction of the models by dragging and dropping blocks, and connecting them together. Moreover, a programmatic approach is possible for the construction of complex models, just as any Simulink model. The rich set of tools, algorithms and visualization mechanisms in the Matlab environment are available for the integration with the Petri net models constructed by using the blocks introduced in this work. This integration allows for a wide range of possibilities for the simulation of Discrete Event Systems modelled as Petri nets. Results obtained within this framework are contrasted with those reported in the original sources. The concluding remarks section provides a link for downloading and testing the library.

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Modelling and Simulation for Production Logistics System in Industrial Enterprises Based on Hybrid Network

Cited by 7 publications

References 11 publications

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Forecasting the impact of environmental stresses on the frequent waves of COVID19

Batch Optimization in Integrated Scheduling of Machining and Assembly

A Framework Based on Matlab/Simulink for the Simulation of DES Using Petri Net Models

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