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研究生:王逸琦
研究生(外文):Yi-Chi Wang
論文名稱:以人體工學電腦模式作產品最佳化參數設計
論文名稱(外文):The Ergonomic Parameters Optimization for Product Design via Computer Musculoskeletal Modeling
指導教授:蔣安國蔣安國引用關係
指導教授(外文):Angus Jeang
口試委員:黃宗立李維平
口試日期:2016-06-27
學位類別:碩士
校院名稱:逢甲大學
系所名稱:工業工程與系統管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:51
中文關鍵詞:產品設計肌肉骨骼電腦模型肌肉活性反應曲面法多目標最佳化AnyBody
外文關鍵詞:Product designComputer musculoskeletal modelingMuscle activityResponse surface methodologyMultiple objectivesOptimizationAnyBody
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本研究結合了肌肉骨骼電腦模型與多目標最佳化,以決定人體工學產品設計的最佳參數。
從AnyBody建模系統中,經由電腦模擬取得多條肌肉的活性,再經由統計方法建構ANOVA分析表以及反應曲面法;而這些回歸式再進一步使用折衷的多目標最佳化方法建立目標函數,並以數學模式解決問題。
研究中以自行車車架為例來檢驗本研究方法,其中包含了龍頭、頭管與前叉;上管、坐管、立管至曲柄的參數設計。
由於本研究方法成功結合了肌肉骨骼電腦模型、統計方法與最佳化技術,使得健康安全的人因工程之產品設計得以實現。
This research is to determine the optimum parameter values for an ergonomic product designs via computer musculoskeletal modeling and multi-objective optimization. The muscle activities measured from AnyBody (AB) Modeling System for multiple muscle applications are used to develop the functional relationships and build ANOVA via the statistical method, such as Response Surface Methodology (RSM). These functional relationships are considered as objective functions which will be further formulated as a compromise multi-objective optimization problem. A bike-frame design problem in designing the length of stem, head tube, fork, top tube, seat post, seat tube, and pedal crank is chosen as an example to demonstrate the proposed method. Because the combination of computer musculoskeletal modeling, statistical method, and optimization technique are realized in proposed approach, the ergonomic product designs for safety and health can be achieved in the stage of product design.
Table of Contents
指導教授與評審委員之考試合格證明 II
Acknowledgements III
Abstract (English) IV
Abstract (Chinese) V
Table of Contents VI
List of Figure VII
List of Tables VIII

1. Introduction…………………………………………………………………….…..1
2. Computer musculoskeletal modeling……………………………………………..3
3. Computer experimental data for RSM and response functions for multi-objective optimization…………………………………….……………......4
4. Multiple objective optimization for multiple muscle activities…………………6
5. Block diagrams for proposed approach…………………………………………....9
6. An Application………………………………………………………………..…..11
7. Conclusion……………………………………………………………….…………40
References……………………………………………………………………….…..41
References
Arora, J.S., 2004. Introduction to Optimum Design, 2nd ed. McGraw-Hill Book Company, New York.

Chaffin, D.B., Andersson, G.B.J., Martin, B.J., 1999. Occupational Biomechanics, third ed. Wiley, New York.

Damsgaard, M., Rasmussen, J., Christensen, S.T., Surma, E., de Zee, M., 2006. Analysis of musculoskeletal systems in the AnyBody Modeling System. Simul. Model. Pract. Theory 14 (8), 1100e1111.

Goicoechea A, Hansen DR, Duckstein L (1982) Multi objective decision analysis with engineering and business applications. John Wiley and Sons, New York

Johansen, U., Johren, A., 2002. Personalekonomi Idag. Uppsala Publishing House.ISBN 9170052026.

Myers, R.H., 1991. Response surface methodology in quality improvement. Communications in Statistics - Theory and Methods, 20(2), 457-476.

Myers, R.H., Montgomery, D.C., Anderson-Cook, C.M., 2009. Response Surface Methodology - Process and Product Optimization Using Designed Experiments, 3rd ed.Wiley Series in Probability and Statistics, New York.

Rasmussen, J., Damsgaard, M., Surma, E., Christensen, S.T., de Zee, M., 2003. Designing a general software system for musculoskeletal analysis. In: Proceedings of the IX International Symposium on Computer Simulation in Biomechanics, Sydney, Australia.

Tabucanon MT (1988) Multiple criteria decision making in industry. Elsevier Science Publishers, The Netherlands

Tsang, P.S., Vidulich, M.A., 2006. Mental workload and situation awareness. In:Salvendy, G. (Ed.), Handbook of Human Factors and Ergonomics, third ed. Wiley,New York, pp. 243e268.


U.S. Department of Health and Human Services, 1992. Selected Topics in Surface Electromyography for Use in the Occupational Setting: Expert Perspectives. National Institute for Occupational Safety and Health, Atlanta.

Zeleny M (1982) Multiple criteria decision making. McGraw-Hill Book Company, New York
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