An Application of Digital Human Modeling and Ergonomics Analysis in Workplace Design

Materials ◽  
2003 ◽  
Author(s):  
Bilal Maiteh

In today’s challenging environment, companies gain a competitive advantage by reducing time-to-market of their products. This effort requires an integration of various technologies and effective utilization of simulation tools. As an integral part of any manufacturing environment, operator health and safety is a primary focus of the companies. Digital human modeling and virtual reality tools provide an excellent solution to factor human element early in the design phase and to make proactive choices in workplace and equipment design decisions. In this paper, the process of ergonomics analysis within digital environment is discussed, and an application is summarized. The case study gives details of the integration of digital human modeling, motion capturing, and ergonomics analysis in an automobile part sub-assembly process.

Work ◽  
2012 ◽  
Vol 41 ◽  
pp. 3412-3418 ◽  
Author(s):  
Sougata Karmakar ◽  
Madhu Sudan Pal ◽  
Deepti Majumdar ◽  
Dhurjati Majumdar

Author(s):  
Fabien Bernard ◽  
Mohsen Zare ◽  
Jean-Claude Sagot ◽  
Raphael Paquin

Objective: This research aimed to evaluate the differences in the assessments made by three simulation tools used in a maintainability design office to perform human factor/ergonomics (HFE) analysis: digital human modeling (DHM), virtual reality (VR), and physical mock-up (PMU). Background: Maintainability engineers use digital/physical simulation tools in the early design phase to analyze whether the design is well adapted for maintenance operators. Knowing the potential of these simulation tools would encourage maintainability stakeholders to integrate HFE in the design process more efficiently. Method: Eleven maintenance tasks were analyzed from the participation of six maintenance operators. Various HFE indicators including physical, cognitive, and organizational indicators were assessed. Each operator repeated 11 maintenance tasks on VR and PMU. Based on the anthropometric parameters, six manikins were created to analyze 11 maintenance tasks on DHM. Results: A significant difference was found for the organizational indicators between VR and PMU, whereas the physical and cognitive indicators are similar. DHM, VR, and PMU are compared with the common HFE indicators for the physical dimension and present a significant difference for individual tasks. Conclusion: To reduce the gap between simulation tools, a better physical representation is requested on the VR platform, improving the perception of work sequences in the virtual world. Concerning DHM, a new paradigm is proposed to study a few tasks per work area instead of studying each task independently. Application: This study will help develop a new methodology and tools specifically for non-HFE experts in the maintainability department.


Author(s):  
Giorgio Colombo ◽  
Giordano De Vecchi ◽  
Daniele Regazzoni ◽  
Caterina Rizzi

This paper presents a computer-aided environment to analyze postures and movements in order to ergonomically validate the design of potentially any device a man or woman may have to deal with. The proposed environment integrates virtual prototyping techniques with Digital Human Modeling and Motion Capture techniques to determine fatigue, stress and risk for workers’ health. We considered a vertical refrigerated display unit as case study to analyze the interaction of supermarket staff filling the shelves with goods with the main goal determining the suitability of operators’ working condition and, eventually, providing a feedback to the design step. The paper, after a brief description of the state of the art of the Motion Capture system and Digital Human Modeling, presents the architecture of the integrated environment developed and the working paradigm. At last preliminary results of the experimentation as well benefits and the limits of the outcomes achieved so far in the automation of ergonomics in machines design are presented.


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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