On-Line Simulation for Shop Floor Control in Manufacturing Execution System

Rao, Yunqing; He, Fei; Shao, Xinyu; Chao-yong, Zhang

doi:10.1007/978-3-540-88518-4_16

Cited by 16 publications

(13 citation statements)

References 8 publications

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“…The application of simulation in the decisionmaking process for manufacturing can be categorized into two main categories: long-term simulation is used in the design and configuration of the manufacturing system (Truong & Azadivar, 2003). Short-term simulation is used generally for production system control during the production (Rao, He, Shao, & Zhang, 2008).…”

Section: High Speed Simulation With Pgd Methodsmentioning

confidence: 99%

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Belkadi

Dhuieb

Aguado

et al. 2020

Computers & Industrial Engineering

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The key role of information and communication technologies (ICT) to improve manufacturing productivity within the paradigm of factory of the future is often proved. These tools are used in a wide range of product lifecycle activities, from the early design phase to product recycling. Generally, the assistance tools are mainly dedicated to the management board and fewer initiatives focus on the operational needs of the worker at the shop-floor level. This paper proposes a context-aware knowledge-based system dedicated to support the actors of the factory by the right information at the right time and in the appropriate format regarding their context of work and level of expertise. Particularly, specific assistance functionalities are dedicated to the workers in charge of the machine configuration and the realization of manufacturing operations. PGD-based (Proper Generalized Decomposition) algorithms are used for real time simulation of industrial processes and machine configuration. At the conceptual level, a semantic model is proposedas key enablersfor the structuration of the knowledgebased system.

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Section: High Speed Simulation With Pgd Methodsmentioning

confidence: 99%

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Belkadi

Dhuieb

Aguado

et al. 2020

Computers & Industrial Engineering

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“…Events in the real system are clustered and tagged to identify the necessity and to assign priority to the interventions. Rao et al [43] described a Real-time Simulation architecture for shop-floor control. The system can collect data from the shop-floor and communicate with a scheduling controller through the MES.…”

Section: Proactive Policiesmentioning

confidence: 99%

Lab-scale Models of Manufacturing Systems for Testing Real-time Simulation and Production Control Technologies

Lugaresi

Alba²,

Matta³

2021

Journal of Manufacturing Systems

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“…Simulation uses TIQ to order executor perform specific tasks and receives completion messages through the TCQ. Son et al, [16] and Rao et al [17] shows others SFS software use for controlling production process.…”

Section: Shop Floor Simulation Based Production Planning and Control mentioning

confidence: 99%

Advantages of Learning Factories for Production Planning based on shop floor simulation: A step towards smart factories in Industry 4.0

Andrés

Álvaro

Mora

2019

2019 IEEE World Conference on Engineering Education (EDUNINE)

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In future industry, defined as Industry 4.0, production planning and control strategies will be executed by human beings backed by computational tools for decision making; One of these tools is shop floor simulation, and a natural scenario to learn about how to use it for productive processes design and control are the Learning Factories. In this chapter, shop floor simulation is identified as a tool for planning and controlling production, also a state of the art about its implementation is exposed in academic and industrial environments. In addition, the trends in the construction of the Learning Factories are shown, and some aspects about how they can be used for shop floor simulation. This work also proposes the realization of a digital model in EAFIT University Learning Factory as a first step towards digital learning factory.

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On-Line Simulation for Shop Floor Control in Manufacturing Execution System

Cited by 16 publications

References 8 publications

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Lab-scale Models of Manufacturing Systems for Testing Real-time Simulation and Production Control Technologies

Advantages of Learning Factories for Production Planning based on shop floor simulation: A step towards smart factories in Industry 4.0

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