Application on concurrent product design and process planning for a Bicycle design
Subject Areas : Mathematical Optimization
1 - Department of Industrial Engineering, University of Jordan, Amman, Jordan
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Abstract :
References:
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[8] Jeang A. (2014). Robust optimization for Simultaneous process mean, process tolerance and product specification determination. International journal of Computer Integrated Manufacturing 27(11): 1008-1021.
[9] Jeang A and Lin Y. (2014). Product and process parameters determination for quality and cost. International Journal of systems Science 45(10): 2042-2054.
[10] Chen CH. and Chou CY. (2017). Optimum process mean, standard deviation and specification limits settings under the Burr distribution. Engineering Computations 34 (1): 66-76.
[11] Al-Refaie A, Haddadin M and Qabaja A. (2019). Optimal parameters and tolerances in concurrent product and process design using simulation and fuzzy goal programming", International Journal of Quality & Reliability Management 37(2): 372-392.
[12] Al-Refaie A, Diabat A. (2013). Optimizing convexity defect in a tile industry using fuzzy goal programming. Measurement 46(8): 2807-2815.
[13] Al-Refaie A, Diabat A, Li M-H. (2014). Optimizing tablets’ quality with multiple responses using fuzzy goal programming. Journal of Process Mechanical Engineering 228: 115-126.
[14] Al-Refaie A. (2015). Optimal performance of plastic pipes’ extrusion process using Min-Max model in fuzzy goal programming. Journal of Process Mechanical Engineering 231(4): 888-898.
[15] Al-Refaie A. (2014). FGP model to optimize performance of tableting process with three quality responses. Transactions of the Institute of Measurement and Control 36(3), 336-346. DOI:
10.1177/0142331213500807.
[16] Al-Refaie A. (2014). Optimization of multiple responses in the Taguchi method using fuzzy regression Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM 28(1), 99-107. DOI: 10.1017/S0890060413000528
[17] Al-Refaie A. (2015). Optimizing multiple quality responses in the Taguchi method using fuzzy goal programming: Modeling and applications. International Journal of Intelligent Systems 30(6), 651-675. DOI: 10.1002/int.21722.
[18] Jeang A. & Liang F. (2012). An innovation funnel process for set-based conceptual design via DOE exploration, DEA selection and computer simulation. International Journal of Production Research 50:23, 6792- 6810. DOI: 10.1080/00207543.2011.625050.
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