213 Simulation Model Driven Manufacturing Cell

2010 ◽  
Vol 2010 (0) ◽  
pp. 77-78
Author(s):  
Toshihiro INUKAI ◽  
Yukishige YOSHIDA ◽  
Hironori HIBINO
Keyword(s):  
Simulation Model ◽  
Manufacturing Cell ◽  
Model Driven

scholarly journals Model Driven Combat Effectiveness Simulation Systems Engineering

2020 ◽  
Vol 70 (1) ◽  
pp. 54-59
Author(s):  
Zhi Zhu ◽  
Yonglin Lei ◽  
Yifan Zhu
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Conceptual Model ◽  
Systems Engineering ◽  
Simulation Models ◽  
Proof Of Concept ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Combat Effectiveness ◽  
Simulation Systems

Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors.

Method to Control Manufacturing Cell by Driving Simulation Model

2014 ◽  
Vol 8 (4) ◽  
pp. 539-549 ◽  
Author(s):  
Hironori Hibino ◽  
Keyword(s):  
Simulation Model ◽  
Manufacturing System ◽  
Simulation Models ◽  
Driving Simulation ◽  
Manufacturing Cell ◽  
Manufacturing Management ◽  
Execution Phase ◽  
Manufacturing Engineering ◽  
Wiring System

In this paper, a method to Control a Manufacturing Cell by Driving Simulation Models (CMC-DSM) is proposed. The purposes of CMC-DSM is not only to directly operate the manufacturing cell while controlling and monitoring the manufacturing cell based on a simulation model in the manufacturing system execution phase, but also to support the manufacturing engineering processes based on the simulation model. In the manufacturing engineering processes, the simulation model is mixed and synchronized with real equipment and management applications in the case where parts of equipment and manufacturing management applications are not provided in the manufacturing cell. In the manufacturing system execution phase, when the simulation model acts in response to manufacturing system behaviors, the manufacturing system is controlled by synchronizing the simulation model behaviors. In this paper, the Environment required to Control a Manufacturing Cell by Driving Simulation Models (E-CMC-DSM) is proposed. The necessary functions for E-CMC-DSM are defined and developed. E-CMC-DSM consists of a simulator developed to drive simulation models (EMU), a soft-wiring system developed in this study, and a semi-standard industrial network middleware. The validation of ECMC-DSM was carried out through a case study.

Common Modeling Method for Simulation Training Software

2014 ◽  
Vol 543-547 ◽  
pp. 3324-3329
Author(s):  
Yan Hong Dong ◽  
Rui Feng Jia ◽  
Jin Shu Wang
Keyword(s):  
Simulation Model ◽  
Behavior Analysis ◽  
Simulation Training ◽  
Function Analysis ◽  
Domain Engineering ◽  
Feature Model ◽  
Software Systems ◽  
Clear Understanding ◽  
Model Driven ◽  
Development Platform

The Simulation Training Software is a kind of large and complex software systems. Its development requires a clear understanding of desired system features firstly. The development of Simulation Training Software exists many problems, such as deficiency in reuse and development. The feature model has been widely adopted as a domain requirements capturing model by most of the current domain engineering methods. Aiming at these problems, service analysis, function analysis and the behavior analysis are made for this domain. Then the feature model is constructed which includes simulation object management, simulation model driven, running suport platform.. Practice shows that, based on the feature model, the development platform of Simulation Training Software can fit to the most development of electronic equipment simulation training software, and can also get good results.

An approach to automatic robots programming in the flexible manufacturing cell

Robotica ◽  
1994 ◽  
Vol 12 (3) ◽  
pp. 263-279 ◽  
Author(s):  
Paweł Rogalinski
Keyword(s):  
Simulation Model ◽  
Flexible Manufacturing ◽  
Automatic Synthesis ◽  
Planning Techniques ◽  
Flexible Manufacturing Cell ◽  
Manufacturing Cell ◽  
Program Generation ◽  
Planning Methods ◽  
Elementary Action ◽  
Task Level

SUMMARYThe paper presents an approach to automatic synthesis of program for robots in a flexible manufacturing cell (FMC). The system of program generation consists of two layers: Task-Level Programming Layer and Program Interpretation and Verification Layer. The first layer uses robot-independent planning techniques to create a work plan for robots (set of elementary actions) and program for each elementary action. The second layer uses robot-dependent planning methods to plan robot's trajectories and calculate the robot's motion times. A simulation model of whole FMC, which is created based on a description of FMC and program for robots, makes possible evaluation of efficiency of FMC work.

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