Digital Human Modeling Simulation Results and Their Outcomes in Reality: A Comparative Study within Manual Assembly of Automobiles

2009 ◽  
Vol 2 (1) ◽  
pp. 1600-1613
Author(s):  
Roland Örtengren ◽  
Dan Lämkull ◽  
Lars Hanson
Author(s):  
Scott A. Ziolek ◽  
Pieter C. Kruithof

More and more, digital human modeling and simulation is being used in conjunction with CAD systems to address ergonomic issues early within the development and manufacturing process. However, purchasing a human modeling software package does not guarantee a user-centered design anymore than purchasing a word processor makes someone an author. This paper addresses some of the practical issues that confront human modeling and simulation users, including the collection of geometry, posturing the manikin, and selection of an analysis. For the purposes of discussion, human simulation will be divided into three broad areas: the environment, manikin selection, and analysis.


2017 ◽  
Vol 53 (Supplement2) ◽  
pp. S640-S643
Author(s):  
Takanori Chihara ◽  
Akihiko Seo ◽  
Jiro Sakamoto

Author(s):  
Aitor Iriondo Pascual ◽  
Dan Högberg ◽  
Anna Syberfeldt ◽  
Erik Brolin ◽  
Lars Hanson

Simulation software is used in the production development process to simulate production and predict behaviors, calculate times, and plan production in advance. Digital human modeling (DHM) software is used to simulate humans working in production and assess whether workstation designs offer appropriate ergonomic conditions for the workers. However, these human simulations are usually carried out by human factors engineers or ergonomists, whereas the production simulations are carried out by production engineers. Lack of integration of these two simulations can lead to suboptimal solutions when the factory is not optimized to improve both productivity and ergonomics. To tackle this problem, a platform has been developed that connects production flow simulation software data and DHM software data and integrates them in a generic software for data treatment and visualization. Production flow simulation software data and DHM software data are organized in a hierarchical structure that allows synchronization between the production data and the ergonomic data on the target simulation software. The platform is generic and can be connected to any production flow simulation software and any DHM software by creating specific links for each software. The platform requires only the models of the production line, workstations, and tasks in order to perform the simulations in the target simulation software and collect the simulation results to present the results to the user of the platform.


2021 ◽  
Vol 87 (1) ◽  
Author(s):  
Pouya Alipour ◽  
Hadi Daneshmandi ◽  
Mohammad Fararuei ◽  
Zahra Zamanian

Author(s):  
Salman Ahmed ◽  
Mihir Sunil Gawand ◽  
Lukman Irshad ◽  
H. Onan Demirel

Computational human factors tools are often not fully-integrated during the early phases of product design. Often, conventional ergonomic practices require physical prototypes and human subjects which are costly in terms of finances and time. Ergonomics evaluations executed on physical prototypes has the limitations of increasing the overall rework as more iterations are required to incorporate design changes related to human factors that are found later in the design stage, which affects the overall cost of product development. This paper proposes a design methodology based on Digital Human Modeling (DHM) approach to inform designers about the ergonomics adequacies of products during early stages of design process. This proactive ergonomics approach has the potential to allow designers to identify significant design variables that affect the human performance before full-scale prototypes are built. The design method utilizes a surrogate model that represents human product interaction. Optimizing the surrogate model provides design concepts to optimize human performance. The efficacy of the proposed design method is demonstrated by a cockpit design study.


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