A Basic Study on a Highly Distributed Simulation of Manufacturing Systems Under the Ubiquitous Environment

2012 ◽  
Author(s):  
Susumu Fujii ◽  
Nobutada Fujii ◽  
Akira Tsumaya ◽  
Koji Iwamura ◽  
Eiji Morinaga ◽  
...  
Keyword(s):  
Simulation Model ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Basic Study ◽  
Ubiquitous Environment ◽  
Simulation Paradigm ◽  
Simulation Functions ◽  
Intelligent Devices

This study reports a new simulation paradigm devised to simulate manufacturing systems in its real operational stage. The objective manufacturing system is supposed to be under ubiquitous environment; in other words, all machines and equipments constituting a real manufacturing system are all equipped with intelligent devices and are connected to an information network. In the framework of the proposed simulation method, the simulation model is not built on one computer as is done in the conventional simulation, but is built on the network by integrating the intelligent devices. Each devise with properly embedded simulation functions plays as a simulation agent representing a resource or an entity in the conventional simulation model. This paper discusses the simulation functions required to each device to form a discrete event simulation system. The time management of the simulation and the event processes in the new simulation paradigm are described.

A Synchronization Mechanism with Shared Storage Model for Distributed Manufacturing Simulation Systems

2015 ◽  
Vol 9 (3) ◽  
pp. 248-260 ◽  
Author(s):  
Hironori Hibino ◽  
◽  
Yoshiro Fukuda ◽  
Yoshiyuki Yura ◽  
◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Simulation Models ◽  
Model Concept ◽  
Shared Storage ◽  
Storage Model ◽  
Synchronization Mechanism ◽  
Simulation Systems

Simulators play important roles in the designing of new acturing systems. As manufacturing systems are being created on larger and more complicated scales than ever before, it is increasingly necessary to have opportunities for several persons to design a manufacturing system concurrently. In this case, the designers often use suitable discrete event simulators to evaluate their assigned subsystems. After the subsystems are evaluated, it is necessary to evaluate the full system. To do this, the designers need to make the manufacturing system model by synchronizing several different simulators. In such distributed simulation systems using discrete event simulators, it is important to manage a distributed simulation clock and each simulator clock as well as to define interfaces among the simulation models. With the simulation clock, it is often necessary to perform rollbacks. The rollback function returns the simulation clock to a past time in order to synchronize events among the simulations. However, most commercially available simulators do not include the rollback function.The purpose of this research is to develop a distributed simulation synchronization method that includes a function for managing distributed simulation clocks without the rollback function and for managing interfaces among simulation models.In this paper, we propose a storage model concept as the method. We develop an algorithm to implement the proposed concept, and we develop a distributed simulation system configuration using HLA. A case study is then carried out to evaluate the performance of the cooperative work.

MANUFACTURING SYSTEMS MODELLING USING SYSTEM DYNAMICS: FORMING A DEDICATED MODELLING TOOL

2003 ◽  
Vol 02 (01) ◽  
pp. 71-87 ◽  
Author(s):  
A. OYARBIDE ◽  
T. S. BAINES ◽  
J. M. KAY ◽  
J. LADBROOK
Keyword(s):  
System Dynamics ◽  
System Design ◽  
Discrete Event Simulation ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Computer Modelling ◽  
Discrete Event ◽  
Event Simulation ◽  
Manufacturing System Design ◽  
Computer Based

Discrete event simulation is a popular aid for manufacturing system design; however in application this technique can sometimes be unnecessarily complex. This paper is concerned with applying an alternative technique to manufacturing system design which may well provide an efficient form of rough-cut analysis. This technique is System Dynamics, and the work described in this paper has set about incorporating the principles of this technique into a computer based modelling tool that is tailored to manufacturing system design. This paper is structured to first explore the principles of System Dynamics and how they differ from Discrete Event Simulation. The opportunity for System Dynamics is then explored, and this leads to defining the capabilities that a suitable tool would need. This specification is then transformed into a computer modelling tool, which is then assessed by applying this tool to model an engine production facility.

Effects Analysis of Internal Buffers in Serial Manufacturing Systems for Optimal Throughput

2019 ◽  
Author(s):  
Jad Imseitif ◽  
Herman Tang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Discrete Event ◽  
System Throughput ◽  
Assembly Lines ◽  
Event Simulation ◽  
Study Results ◽  
Automotive Assembly ◽  
Negative Impacts ◽  
Internal Buffer

Abstract Buffers can improve the efficiency of manufacturing systems by accommodating the negative impacts of machine stoppage and maximize the system throughput. Buffers are often designed and integrated into manufacturing systems. This study investigates the effects of small internal buffers on the throughput of serial manufacturing systems using discrete-event simulation (DES). For a serial manufacturing system, its internal buffer can be designed as an idle station or a small conveyor. In the study, typical automotive assembly lines are used as serial manufacturing systems. In addition, the capacity of a small internal buffer and two small buffers are studied for optimal throughput. The study results provide a general approach on where to assign small internal buffers in serial manufacturing systems and what the effects of such buffers and their configurations are.

Optimisation of Lean and Green Strategy Deployment in Manufacturing Systems

2015 ◽  
Vol 794 ◽  
pp. 478-485 ◽  
Author(s):  
Sebastian Greinacher ◽  
Gisela Lanza
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Discrete Event ◽  
Shop Floor ◽  
Event Simulation ◽  
Energy Inputs ◽  
Lean Assessment ◽  
Optimisation Heuristics ◽  
Lean And Green ◽  
Green Strategy

This optimisation approach focuses on the shop floor of a manufacturing company. It aims for an integrated lean and green assessment of a manufacturing system and the identification of a cost optimized combination of lean and green strategies with regard to green targets. For green assessment material and energy inputs as well as resulting CO2 emissions are taken into account. Lean assessment focuses on costs and throughput time. Potential lean and green strategies identified during top down analysis are integrated into a discrete event simulation model. This model is connected with optimisation heuristics which improve combined lean and green strategy deployment to the manufacturing system.

Virtual Fusion: Hybrid Process Simulation and Emulation-in-the-Loop

2008 ◽  
Author(s):  
William S. Harrison ◽  
Dawn Tilbury
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Virtual Machines ◽  
Hybrid Process ◽  
University Of Michigan ◽  
The Real ◽  
Test And Evaluation ◽  
The University

When developing a new manufacturing system or reconfiguring an existing system, it is desirable to have a simulation model for test and evaluation. However, there is often a disconnect between the real system and the simulation model; it is difficult for them to have exactly equivalent behavior. The highest-fidelity “model” is always the system itself. In this paper we propose a framework in which modular models of the manufacturing system components (robots, machines, conveyors, controllers) can be interchanged with their real counterparts, forming a hybrid process. We focus on both the connections between components and the most pertinent aspects of the processed parts. The transfer of parts between the real and virtual domains is particularly challenging; we describe how parts can transition between real and virtual without making substantial changes to the system itself. We discuss how the proposed hybrid process simulation can be used for the design of new manufacturing systems. As the new machines and components are built and installed, they can be “swapped” in for the virtual machines, and testing can be done incrementally. We also discuss how the proposed hybrid process simulation can be used for the upgrade or reconfiguration of existing manufacturing systems. When a new machine or cell is added, or the part flow is reconfigured, the relevant new parts of the system can first be built in simulation and tested as part of the hybrid process, with the new machines. A case study describing the implementation of the hybrid process simulation on the Reconfigurable Factory Testbed at the University of Michigan is presented.

scholarly journals Incorporation of human factors into a Discrete Event Simulation Model for human centred assembly performance evaluation

2021 ◽  
Vol 40 (3) ◽  
pp. 437-448
Author(s):  
M.I. Abubakar ◽  
Q. Wang
Keyword(s):  
Human Factors ◽  
Discrete Event Simulation ◽  
Manufacturing Systems ◽  
Human Performance ◽  
Manufacturing System ◽  
Discrete Event ◽  
Integrated Approach ◽  
Design Stage ◽  
Early Design Stage ◽  
Event Simulation

Discrete Event Simulation (DES) tool is commonly used for the design, analysis, and evaluation of manufacturing systems. Human centred assembly systems offer better system flexibility and responsiveness due to inherent human intelligence and problem-solving abilities; human can deal with product variations and production volumes; and can always adapt themselves to multiple tasks after learning process. Nevertheless, human performance can be unpredictable, and may alter over time due to varying psychological and physiological states, these are often overlooked by researchers when designing, implementing, or evaluating a manufacturing system. In this paper a user-friendly integrated DES method was proposed to enable manufacturing system designers to investigate overall performance of human centred system considering effects of selected human factors. the method can permit manufacturing system designers to evaluate overall manufacturing system performance with considerations of parameters of human factors at early design stage. A case study was carried out using integrated approach; simulation results demonstrate the applicability of this approach.

scholarly journals Robust Engineering for the Design of Resilient Manufacturing Systems

2021 ◽  
Vol 11 (7) ◽  
pp. 3067
Author(s):  
Dimitris Mourtzis ◽  
John Angelopoulos ◽  
Nikos Panopoulos
Keyword(s):  
Production System ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Low Cost ◽  
Discrete Event ◽  
Research Work ◽  
Real Data ◽  
Potential System ◽  
The Individual ◽  
The Impact

As the industrial requirements change rapidly due to the drastic evolution of technology, the necessity of quickly investigating potential system alternatives towards a more efficient manufacturing system design arises more intensely than ever. Production system simulation has proven to be a powerful tool for designing and evaluating a manufacturing system due to its low cost, quick analysis, low risk and meaningful insight that it may provide, improving the understanding of the influence of each component. In this research work, the design and evaluation of a real manufacturing system using Discrete Event Simulation (DES), based on real data obtained from the copper industry is presented. The current production system is modelled, and the real production data are analyzed and connected. The impact identification of the individual parameters on the response of the system is accomplished towards the selection of the proper configurations for near-optimum outcome. Further to that, different simulation scenarios based on the Design of Experiments (DOE) are studied towards the optimization of the production, under predefined product analogies.

scholarly journals Discrete Event System Control in Max-Plus Algebra: Application to Manufacturing Systems

2020 ◽  
Vol 53 (4) ◽  
pp. 143-150
Author(s):  
Gabriel Freitas Oliveira ◽  
Renato Markele Ferreira Candido ◽  
Vinicius Mariano Gonçalves ◽  
Carlos Andrey Maia ◽  
Bertrand Cottenceau ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Discrete Event ◽  
Discrete Event System ◽  
System Control ◽  
Event System
Sign in / Sign up

Export Citation Format

Share Document