Application of axiomatic design, TRIZ, and mixed integer programming to develop innovative designs: a locomotive ballast arrangement case study |
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Authors: | Gül Okudan Kremer Ming-Chuan Chiu Chun-Yu Lin Saraj Gupta David Claudio Henri Thevenot |
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Affiliation: | 1. School of Engineering Design, The Pennsylvania State University, 213T Hammond Building, University Park, PA, 16802, USA 2. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, 310 Leonhard Building, University Park, PA, 16802, USA 3. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, 30013, Republic of China 4. Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, MT, 59717-3800, USA 5. GE Transportation, 2901 East Lake Road, Erie, PA, 16531, USA
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Abstract: | In this paper, we present a method incorporating axiomatic design, TRIZ, and mixed integer programming (MIP) to solve engineering design problems. Axiomatic design decomposes the problem into several mutually independent sub-problems, TRIZ generates all feasible design concepts, and MIP optimizes cost and the numerical configuration among available design options. The method is illustrated on a locomotive ballast arrangement case study. Ballast arrangement is a key process for a locomotive assembly, which determines the carrying capacity. Due to the unsophisticated technology requirements, the ballast arrangement process has received little attention. The trend of mass customization, however, demands locomotive manufacturers to provide diverse products with affordable cost and reduced time. Thus, a flexible and easy to implement ballast arrangement process design is sought. The proposed method determines what material combinations, in what quantity, and where in the limited cavities should the ballast be allocated to minimize cost. Using the case study, we demonstrate the advantages in cost reduction and time savings. The synergy of these improvements not only can enhance productivity and agility but also competitive advantage. |
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