Automated Assembly Simulation Using Arena Software

2013 ◽  
Vol 740 ◽  
pp. 27-38 ◽  
Author(s):  
Thembelani Sithebe
Keyword(s):  
Simulation Model ◽  
Production Systems ◽  
Data Driven ◽  
Assembly Process ◽  
Automated Assembly ◽  
Simulation Research ◽  
Simulation Process ◽  
Assembly Simulation ◽  
Operational Information

Most research has been concentrating on getting input from and simulating specific assembly processes. The most advanced simulation research is based on data driven methods. The rest of simulation articles are case study based. This work envisages establishing a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. The simulation model is based on proposed configuration and operational information. It is used to verify that the proposed system will meet required production rates and, to predict the relative performance of alternative configurations. It can be used for what-if analysis to investigate different operation scenarios and optimize production systems. Validation of the result was done through the use of different scenarios. It is only by using the model to answer specific questions about ways of changing the system that realizable improvements are identified.

scholarly journals Strategy for the Appropriation of a DSS in Small Bovine Producers Using Simulation and a Serious Video Game

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 566
Author(s):  
Urbano Gómez-Prada ◽  
Martha Orellana-Hernández ◽  
Jesús Salinas-Ibáñez
Keyword(s):  
Simulation Model ◽  
Video Game ◽  
Information Technologies ◽  
Production Systems ◽  
Design And Development ◽  
Design And Development Research ◽  
Simulated Environments ◽  
Unified Process ◽  
The Impact

There is low adoption of Information Technologies (IT) in the administration of small bovine production systems which causes that most decisions are made based on the experience of the administrators and not based on data. This study proposes a methodological strategy to improve the adoption and appropriation of a Decision Support System (DSS) in the aforementioned kind of systems. The strategy includes gamification elements in the training supported in three IT tools, which help with the understanding of the connection between the tools. The tools are a simulation model, a serious video game, and the DSS. The design and development of the strategy used Design and Development Research and Case Study, System Dynamics to develop the simulation model and a Rational Unified Process to develop the serious video game and the DSS. The methodology was implemented in Santander, Colombia with informative sessions and working with producers in aided simulated environments with the goal of getting participants to use the proposed tools in their environments in a voluntary, autonomous, lasting way. Results showed the impact of the ludic and pedagogical components for the appropriation of the technology. 22 months after finishing the aided sessions 34% of the farmers show appropriation of the DSS and use it on their farms.

The Application of DELMIA in ARJ21 Aircraft Central Wing Assembly Simulation

2011 ◽  
Vol 314-316 ◽  
pp. 2287-2292
Author(s):  
Hong Jun Liu ◽  
Xiao Yan Tong ◽  
Sheng Li Lv ◽  
Qing Ming Fan
Keyword(s):  
Process Simulation ◽  
Virtual Assembly ◽  
Assembly Process ◽  
Aircraft Assembly ◽  
Simulation Process ◽  
Assembly Simulation ◽  
Task Simulation

This paper is to explain the application of DELMIA in 3D digital virtual assembly. It takes ARJ21 aircraft central wing assembly simulation process as an example. It introduces the related modules of DELMIA software and discusses the application of DELMIA in aircraft assembly simulation through the central wing assembly process simulation and human task simulation in the ARJ21 aircraft central wing assembly simulation.

Simulation research on the influence of special ships on waterway through capacity for a complex waterway system: a case study for the Port of Meizhou Bay

SIMULATION ◽  
2019 ◽  
Vol 96 (4) ◽  
pp. 387-402 ◽  
Author(s):  
Jianping Shang ◽  
Wenyuan Wang ◽  
Yun Peng ◽  
Qi Tian ◽  
Ying Tang ◽  
...  
Keyword(s):  
Simulation Model ◽  
Challenging Problem ◽  
Simulation Technology ◽  
Natural Conditions ◽  
Simulation Research ◽  
The Real ◽  
System A ◽  
New Construction ◽  
Simulation Results

The study of waterway through capacity for ports is a challenging problem due to the randomness and complexity of the waterway system, which needs to be analyzed by simulation technology. This paper quantitatively studies the influence of special ships on waterway through capacity and provides corresponding measures to improve waterway through capacity. The complex waterway system in the Port of Meizhou Bay is employed as a case study. Considering the actual conditions in the Port of Meizhou Bay, including the ships, berths, waterways, and natural conditions, a Simio-based simulation model is established. The real operation data from the Port of Meizhou Bay in 2015 are used to verify the correctness and effectiveness of the model. The simulation results show that special ships reduce the waterway through capacity by 4.9% and suggest that circumnavigation strategies that can be adopted after the extension and new construction of waterway systems can improve the waterway through capacity by 5.9%.

Designing And Optimizing Production In A High Variety / Low Volume Environment Through Data-Driven Simulation

2021 ◽  
Author(s):  
Virginia Fani ◽  
Bianca Bindi ◽  
Romeo Bandinelli
Keyword(s):  
Simulation Model ◽  
Production Systems ◽  
Discrete Event ◽  
Simulation Models ◽  
Product Variety ◽  
Data Driven ◽  
Business Decisions ◽  
Footwear Industry ◽  
Data Driven Approach ◽  
High Level

HVLV environments are characterized by high product variety and small lot production, pushing companies to recursively design and optimize their production systems in a very short time to reach high-level performance. To increase their competitiveness, companies belonging to these industries, often SMEs working as third parties, ask for decision-making tools to support them in a quick and reactive reconfiguration of their production lines. Traditional discrete event simulation models, widely studied in the literature to solve production-related issues, do not allow real-time support to business decisions in dynamic contexts, due to the time-consuming activities needed to re-align parameters to changing environments. Data-driven approach overcomes these limitations, giving the possibility to easily update input and quickly rebuild the model itself without any changes in the modeling code. The proposed data-driven simulation model has also been interfaced with a commonly-used BI tool to support companies in the iterative comparison of different scenarios to define the optimal resource allocation for the requested production plan. The simulation model has been implemented into a SME operating in the footwear industry, showing how this approach can be used by companies to increase their performance even without a specific knowledge in building and validating simulation models.

Modeling for assembly simulations: Data description and a data-driven construction framework

2017 ◽  
Vol 08 (02) ◽  
pp. 1750044
Author(s):  
Lihong Qiao ◽  
Yifan Qie ◽  
Yixin Zhu
Keyword(s):  
Effective Means ◽  
Data Driven ◽  
Assembly Process ◽  
Application Process ◽  
Modeling Framework ◽  
Assembly Design ◽  
Assembly Tolerance ◽  
Assembly Simulation ◽  
Data Driven Approach ◽  
Sequence Simulation

Assembly simulations such as assembly process simulation and assembly tolerance simulation have become an effective means to evaluate and analyze product assembly design and assembly process planning. Being core aspect of simulation implementation, building an assembly simulation model is rather time-consuming because of its high complexity. Furthermore, modeling has a significant influence on the popularization and application of simulation technology. In this paper, data needed by assembly process and tolerance simulation are addressed to propose a data-driven approach for assembly simulation modeling. The application process and the architecture of modeling framework for assembly simulation are presented as well. An assembly sequence simulation example is given to illustrate the application of the framework. The framework provides a new idea for the realization of automatic modeling for assembly simulation.

Virtual Assembly Simulation Method for Complicated Mechanical Product

2012 ◽  
Vol 532-533 ◽  
pp. 1303-1307 ◽  
Author(s):  
Bo Sun ◽  
Shao Yun Zhang ◽  
Yan Cao
Keyword(s):  
Virtual Assembly ◽  
Simulation Method ◽  
Assembly Process ◽  
Simulation Process ◽  
Car Model ◽  
Mechanical Part ◽  
Assembly Simulation ◽  
Low Efficiency ◽  
Product Assembly

The generation of assembly plans for a new complicated product is often a lengthy and costly manual process. In this paper, the pose description and transformation of mechanical part in virtual assembly space are studied. The assembly simulation idea of “detachable means installable” is discussed. A kind of complicated mechanical product assembly simulation process is proposed. Taking a car model as an example, the application of the assembly simulation process is introduced. In this process, complex and low efficiency computation in the assembly process could be avoided.

scholarly journals Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

2020 ◽  
Vol 4 (4) ◽  
pp. 97 ◽  
Author(s):  
Christine Blume ◽  
Stefan Blume ◽  
Sebastian Thiede ◽  
Christoph Herrmann
Keyword(s):  
Manufacturing Systems ◽  
Polynomial Regression ◽  
Production Systems ◽  
Selection Procedure ◽  
Cooling Capacity ◽  
Data Driven ◽  
Digital Twins ◽  
Operational Management ◽  
Whole Life Cycle

Cyber-physical production systems (CPPS) and digital twins (DT) with a data-driven core enable retrospective analyses of acquired data to achieve a pervasive system understanding and can further support prospective operational management in production systems. Cost pressure and environmental compliances sensitize facility operators for energy and resource efficiency within the whole life cycle while achieving reliability requirements. In manufacturing systems, technical building services (TBS) such as cooling towers (CT) are drivers of resource demands while they fulfil a vital mission to keep the production running. Data-driven approaches, such as data mining (DM), help to support operators in their daily business. Within this paper the development of a data-driven DT for TBS operation is presented and applied on an industrial CT case study located in Germany. It aims to improve system understanding and performance prediction as essentials for a successful operational management. The approach comprises seven consecutive steps in a broadly applicable workflow based on the CRISP-DM paradigm. Step by step, the workflow is explained including a tailored data pre-processing, transformation and aggregation as well as feature selection procedure. The graphical presentation of interim results in portfolio diagrams, heat maps and Sankey diagrams amongst others to enhance the intuitive understanding of the procedure. The comparative evaluation of selected DM algorithms confirms a high prediction accuracy for cooling capacity (R2 = 0.96) by using polynomial regression and electric power demand (R2 = 0.99) by linear regression. The results are evaluated graphically and the transfer into industrial practice is discussed conclusively.

Generic Simulation of an Automated Assembly

2013 ◽  
Vol 740 ◽  
pp. 14-26
Author(s):  
Thembelani Sithebe
Keyword(s):  
Assembly Line ◽  
Buffer Capacity ◽  
System Capacity ◽  
Assembly Process ◽  
Automated Assembly ◽  
Number Of Components ◽  
Simulation Process ◽  
The Given ◽  
Assembly Component

System design generally involves making long-term decisions such as facility layout and system capacity/configuration. As such, models are typically created and used for a single design exercise, and model run time is not a significant factor during the simulation process. The simulation process is based on the use of Simio standard simulation program. This chapter comprises of a generic workstation diagram that shows a setup of an ideal assembly line. This assembly diagram is the basis from which a flowchart/ algorithm is derived from. The assembly line consists of workstations (one to some given number N). N in case is six. Each workstation is fed by buffer storage areas which are continuously replenished according to the supply conditions of the program. A transporter transports the assembly in between stations. This transporter can either be a conveyor as is with Arena, or a vehicle, as is the case in the Simio program. The Generic Flowchart is based on the Generic Assembly Diagram. The given steps from the identification of the component to has the component has been assembled? occur in one assembler and are for one component. These activities (flowchart) are repeated for each component up to the required number of components that make-up the product, i.e. the loops are repeated for each component in the assembly process. The purpose of this paper is to establish a generic simulation process, which will be based on the generic algorithm and generic assumptions to be used to simulate an automated assembly process. In this generic program, the following parameters can be varied: number of workstations, number of components, and order of assembly, cycle time, time to assembly, component and workstation availability and buffer capacity.

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.

scholarly journals Digital Storytelling in Cultural Heritage: Audience Engagement in the Interactive Documentary New Life

2021 ◽  
Vol 13 (3) ◽  
pp. 1193
Author(s):  
Anna Podara ◽  
Dimitrios Giomelakis ◽  
Constantinos Nicolaou ◽  
Maria Matsiola ◽  
Rigas Kotsakis
Keyword(s):  
Cultural Heritage ◽  
Full Range ◽  
Social Dimension ◽  
Data Driven ◽  
Specific Interest ◽  
Key Factors ◽  
Audience Engagement ◽  
Main Research ◽  
The Social

This paper casts light on cultural heritage storytelling in the context of interactive documentary, a hybrid media genre that employs a full range of multimedia tools to document reality, provide sustainability of the production and successful engagement of the audience. The main research hypotheses are enclosed in the statements: (a) the interactive documentary is considered a valuable tool for the sustainability of cultural heritage and (b) digital approaches to documentary storytelling can provide a sustainable form of viewing during the years. Using the Greek interactive documentary (i-doc) NEW LIFE (2013) as a case study, the users’ engagement is evaluated by analyzing items from a seven-year database of web metrics. Specifically, we explore the adopted ways of the interactive documentary users to engage with the storytelling, the depth to which they were involved along with the most popular sections/traffic sources and finally, the differences between the first launch period and latest years were investigated. We concluded that interactivity affordances of this genre enhance the social dimension of cultural, while the key factors for sustainability are mainly (a) constant promotion with transmedia approach; (b) data-driven evaluation and reform; and (c) a good story that gathers relevant niches, with specific interest to the story.

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