scholarly journals Design and Simulation of Manufacturing Organizations Based on a Novel Function-Based Concept

2022 ◽  
Vol 12 (2) ◽  
pp. 811
Author(s):  
Mareike Winkler ◽  
Sergio Gallego-García ◽  
Manuel García-García
Keyword(s):  
Simulation Model ◽  
Conceptual Model ◽  
Holistic Approach ◽  
Dynamics Simulation ◽  
Full Potential ◽  
Twin Model ◽  
Manufacturing Organizations ◽  
Manufacturing Organization ◽  
And Control ◽  
Industrial Revolutions

Historically, researchers and managers have often failed to consider organizations as a sum of functions leading to a set of capabilities that produce a product that can serve society’s needs. Furthermore, functions have increased with the development of industrial revolutions, however, many manufacturing organizations have not realized their full potential. As a result, many industrial organizations do not know why, where, and when the existing functions and projects for implementing new functions fail where tactical and strategic functions of a manufacturing organization are commonly over-seen. Thus, the aim of this research was to propose a holistic approach for manufacturing organizations in order to model their functions enabling the assessment, design, management, and control of operations and performance as well as to identify improvement potentials. For this purpose, a conceptual model was developed based on the evolution of functions along with the industrial revolutions. Moreover, using the conceptual model, manufacturing organizations can be modeled, considering common organizational functions in the respective areas of production, maintenance, and quality, etc., in the three planning horizons—strategic, tactical, and operative. As a result, the model serves as a basis for the integral management and control of manufacturing organizations. Moreover, it can be also used as a basis framework for a digital twin model for organizations. Thus, a system dynamics simulation model based on the conceptual model was developed for a generic organization. The goal of the simulation model is to provide an exemplary digital model of a manufacturing organization in which the different functions are applied with different methods, systems, and/or individuals along the development phases.

scholarly journals A Systematic Improvement Model to Optimize Production Systems within Industry 4.0 Environments: A Simulation Case Study

2021 ◽  
Vol 11 (23) ◽  
pp. 11112
Author(s):  
Marcel Groten ◽  
Sergio Gallego-García
Keyword(s):  
Simulation Model ◽  
Conceptual Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Production Systems ◽  
Quality Performance ◽  
Systematic Improvement ◽  
System Improvement ◽  
And Control

The industrial revolutions and their impact on production systems have increased productivity and quality in manufacturing over time. Lean methods have been the driver of the development of production systems from the 1990s to the rise of the fourth industrial revolution, or Industry 4.0. However, many different approaches and methodologies have been described, applied, and discussed for achieving improvements in production systems. As a result, organizations are often confused in regard to the order, the convenience, and the outcomes intended by the different improvement strategies and techniques. This paper provides a systematic sequence of process optimization steps that can be applied to any organization. A conceptual model was built based on the systematic sequence. In addition, a simulation model was built with the goal of representing and quantifying the sequential steps of the conceptual model. The results of the simulation model show a clear improvement in quality, performance, and economic indicators, with the first two steps in the optimization sequence providing critical initial information, while the third step served as a net contributor to a global production system improvement for demanding market scenarios. Finally, we analyzed the impacts of Industry 4.0 on production systems and developed a methodological sequence to design, select, implement, and control projects, even those that include Industry 4.0 technologies.

THE FOURTH INDUSTRIAL REVOLUTION (INDUSTRY 4.0) A SOCIAL INNOVATION PERSPECTIVE

2018 ◽  
Author(s):  
Klaus Schwab
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Social Innovation ◽  
Holistic Approach ◽  
Socioeconomic Impact ◽  
Fourth Industrial Revolution ◽  
Technological Developments ◽  
Rapid Pace ◽  
Sustainable System ◽  
Industrial Revolutions

The rapid pace of technological developments played a key role in the previous industrial revolutions. However, the fourth industrial revolution (Industry 4.0) and its embedded technology diffusion progress is expected to grow exponentially in terms of technical change and socioeconomic impact. Therefore, coping with such transformation require a holistic approach that encompasses innovative and sustainable system solutions and not just technological ones. In this article, we propose a framework that can facilitate the interaction between technological and social innovation to continuously come up with proactive, and hence timely, sustainable strategies. These strategies can leverage economic rewards, enrich society at large, and protect the environment. The new forthcoming opportunities that will be generated through the next industrial wave are gigantic at all levels. However, the readiness for such revolutionary conversion require coupling the forces of technological innovation and social innovation under the sustainability umbrella.

MULTI-HOP WIRELESS NETWORKS AUTOMATED SIMULATION

2017 ◽  
Vol 13 (3) ◽  
pp. 68-78
Author(s):  
A. A. Pavlov ◽  
I. O. Datyev ◽  
M. G. Shishaev
Keyword(s):  
Wireless Networks ◽  
Comparative Analysis ◽  
Simulation Model ◽  
Conceptual Model ◽  
Software Package ◽  
Software Tools ◽  
Specialized Software ◽  
Automated Simulation ◽  
Network Simulators ◽  
Modern Experience

Simulation is the main way for testing technologies in the field of multi-hop wireless networks (MWN). Creating a simulation model MWN - a time-consuming task associated with the use of specialized software tools, called network simulators. In this paper, the modern experience of modeling MWN and the main problems are formulated. One of the main problem is the comparative analysis' impossibility of the experiments results conducted by various researchers. This is due to the reasons associated with the models used for testing, the planning an imitation experiment and the principal differences in the network simulators. To solve this problem, authors propose a generalized conceptual model of MWN simulation and a specialized software package that automates the execution of experiment series in a heterogeneous modeling environment.

A system dynamics simulation model for water conflicts in the Zhanghe River Basin, China

2021 ◽  
pp. 1-17
Author(s):  
Liang Yuan ◽  
Weijun He ◽  
Dagmawi Mulugeta Degefu ◽  
Zhongchi Wan ◽  
Thomas Stephen Ramsey ◽  
...  
Keyword(s):  
System Dynamics ◽  
Simulation Model ◽  
River Basin ◽  
Dynamics Simulation ◽  
Water Conflicts ◽  
System Dynamics Simulation

A Mathematical Model Including Mechanical Structure, Hydraulic and Control of LHDS

Robotica ◽  
2021 ◽  
pp. 1-16
Author(s):  
Guoliang Ma ◽  
Kaixian Ba ◽  
Zhiwu Han ◽  
Zhengguo Jin ◽  
Bin Yu ◽  
...  
Keyword(s):  
Simulation Model ◽  
Hydraulic System ◽  
Inverse Dynamics ◽  
Hydraulic Drive ◽  
Operation Time ◽  
Variable Load ◽  
Mechanical Structure ◽  
Load Characteristics ◽  
Common Problems ◽  
And Control

SUMMARY In this paper, mathematical models of kinematics, statics and inverse dynamics are derived firstly according to the mechanical structure of leg hydraulic drive system (LHDS). Then, all the above models are integrated with MATLAB/Simulink to build the LHDS simulation model, the model not only considers influence of leg dynamic characteristics on hydraulic system but also takes into account nonlinearity, variable load characteristics and other common problems brought by hydraulic system, and solves compatibility and operation time which brought by using multiple software simultaneously. The experimental results show the simulation model built in this paper can accurately express characteristics of the system.

Mechanical Performance Simulation Model Based on PDM

2013 ◽  
Vol 300-301 ◽  
pp. 32-35
Author(s):  
Xiao Wen Zeng ◽  
Cheng Zeng ◽  
Bing Han
Keyword(s):  
Simulation Model ◽  
Mechanical Performance ◽  
Product Structure ◽  
Dynamics Simulation ◽  
Simulation Data ◽  
Performance Simulation ◽  
Collaborative Simulation ◽  
Complex Simulation ◽  
Mechanical Dynamics ◽  
Relationship Of

In order to manage the complex simulation data management in the process of mechanical dynamics simulation, a new management model was presented which is Performance Simulation Model(PSM). The model was based on PDM product structure and the concepts and elements of PSM were defined in this paper. Furthermore, the functional framework of PSM was proposed which based on the hierarchical relationship of product structure and the data stream relationship of data structure matrix. Finally, PSM was applied on ship planetary reducer collaborative simulation platform. The result indicates that the simulation data in mechanical collaborative simulation are managed by PSM, and the problem of interaction between collaborative simulation and PDM is solved.

MYMOSA: Towards the Simulation of Realistic Motorcycle Manoeuvres by Coupling Multibody and Control Techniques

2008 ◽  
Author(s):  
David Moreno Giner ◽  
Claudio Brenna ◽  
Ioannis Symeonidis ◽  
Gueven Kavadarlic
Keyword(s):  
Rear Wheel ◽  
Open Loop ◽  
Dynamics Simulation ◽  
Engine Torque ◽  
Multibody Model ◽  
Physiological Limits ◽  
Research Activities ◽  
Analysis Technique ◽  
First Results ◽  
And Control

Multibody dynamics simulation technology can provide a great help to understand and analyze motorcycle dynamics. In fact, its application in this field has grown very fast in the last years. However, apart from the mathematical model of the vehicle, a virtual rider is essential in order to properly simulate a motorcycle. This is due to the unstable nature of two-wheeled vehicles, which makes them very difficult to simulate by using open-loop maneuvers. The problem of developing a virtual rider for motorcycles has already been covered in literature but most of the proposed control algorithms achieved their purpose without considering the physiological limits of the rider. The objective of the research activities presented here are the preliminary development of a realistic virtual rider based on an experimental campaign and its subsequent simulation together with a detailed multibody model of a motorcycle. Special emphasis was put on making the rider model as simple as possible to facilitate the posterior design of the controller. Real rider movements were measured under laboratory conditions by means of the Motion Analysis technique. Several volunteers with different riding experiences, gender and anthropometry were involved in the experiments in order to provide a valid dataset for the analysis. For the present research, the virtual rider controls the direction of the motorcycle by means of both a torque on the handlebars and the movement of his body. The upper part of the rider’s body was modeled as an inverted pendulum. With regard to the longitudinal dynamics, the motorcycle is controlled by means of the brake torques and by the engine torque, which is transmitted to the rear wheel by means of a simplified model of the chain. First results of the developed virtual rider are presented at the end of this paper.

Will Routine Annual Influenza Prevention and Control Systems Serve the United States Well in a Pandemic?

2009 ◽  
Vol 3 (S2) ◽  
pp. S160-S165 ◽  
Author(s):  
Jeanne S. Ringel ◽  
Melinda Moore ◽  
John Zambrano ◽  
Nicole Lurie
Keyword(s):  
Public Health ◽  
United States ◽  
Prevention And Control ◽  
The United States ◽  
Qualitative Assessment ◽  
Full Potential ◽  
Pandemic Preparedness ◽  
The Public ◽  
Influenza Prevention ◽  
And Control

ABSTRACTObjective: To assess the extent to which the systems in place for prevention and control of routine annual influenza could provide the information and experience needed to manage a pandemic.Methods: The authors conducted a qualitative assessment based on key informant interviews and the review of relevant documents.Results: Although there are a number of systems in place that would likely serve the United States well in a pandemic, much of the information and experience needed to manage a pandemic optimally is not available.Conclusions: Systems in place for routine annual influenza prevention and control are necessary but not sufficient for managing a pandemic, nor are they used to their full potential for pandemic preparedness. Pandemic preparedness can be strengthened by building more explicitly upon routine influenza activities and the public health system’s response to the unique challenges that arise each influenza season (eg, vaccine supply issues, higher than normal rates of influenza-related deaths). (Disaster Med Public Health Preparedness. 2009;3(Suppl 2):S160–S165)

Commissioning and Control of the AMB Supported 3.5 kW Laboratory Gas Blower Prototype

2013 ◽  
Vol 198 ◽  
pp. 451-456 ◽  
Author(s):  
Rafał P. Jastrzębski ◽  
Alexander Smirnov ◽  
Katja Hynynen ◽  
Janne Nerg ◽  
Jussi Sopanen ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Induction Motor ◽  
Industrial Applications ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Sensor Calibration ◽  
Full Potential ◽  
Disturbance Analysis ◽  
And Control

This paper presents the practical results of the design analysis, commissioning, identification, sensor calibration, and tuning of an active magnetic bearing (AMB) control system for a laboratory gas blower. The presented step-by-step procedures, including modeling and disturbance analysis for different design choices, are necessary to reach the full potential of the prototype in research and industrial applications. The key results include estimation of radial and axial disturbance forces caused by the permanent magnet (PM) rotor and a discussion on differences between the unbalance forces resulting from the PM motor and the induction motor in the AMB rotor system.

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