The Experts below are selected from a list of 111891 Experts worldwide ranked by ideXlab platform
Taho Yang - One of the best experts on this subject based on the ideXlab platform.
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multiple attribute decision making methods for plant Layout Design problem
Robotics and Computer-integrated Manufacturing, 2007Co-Authors: Taho Yang, Chihching HungAbstract:The Layout Design problem is a strategic issue and has a significant impact on the efficiency of a manufacturing system. Much of the existing Layout Design literature that uses a surrogate function for flow distance or for simplified objectives may be entrapped into local optimum; and subsequently lead to a poor Layout Design due to the multiple-attribute decision making (MADM) nature of a Layout Design decision. The present study explores the use of MADM approaches in solving a Layout Design problem. The proposed methodology is illustrated through a practical application from an IC packaging company. Two methods are proposed in solving the case study problem: Technique for order preference by similarity to ideal solution (TOPSIS) and fuzzy TOPSIS. Empirical results showed that the proposed methods are viable approaches in solving a Layout Design problem. TOPSIS is a viable approach for the case study problem and is suitable for precise value performance ratings. When the performance ratings are vague and imprecise, the fuzzy TOPSIS is a preferred solution method.
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a hierarchical ahp dea methodology for the facilities Layout Design problem
European Journal of Operational Research, 2003Co-Authors: Taho Yang, Chunwei KuoAbstract:Abstract Layout Design often has a significant impact on the performance of a manufacturing or service industry system and is usually a multiple-objective problem. Neither an algorithmic nor a procedural Layout Design methodology is usually effective in solving a practical Design problem. This paper proposed a hierarchical analytic hierarchy process (AHP) and data envelopment analysis (DEA) approach to solve a plant Layout Design problem. A computer-aided Layout-planning tool was used to generate a considerable numbers of Layout alternatives as well as to generate quantitative decision-making unit (DMU) outputs. The qualitative performance measures were weighted by AHP. DEA was then used to solve the multiple-objective Layout problem. Empirical illustrations from a practical case study illustrated the effectiveness of the proposed methodology.
Chihching Hung - One of the best experts on this subject based on the ideXlab platform.
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multiple attribute decision making methods for plant Layout Design problem
Robotics and Computer-integrated Manufacturing, 2007Co-Authors: Taho Yang, Chihching HungAbstract:The Layout Design problem is a strategic issue and has a significant impact on the efficiency of a manufacturing system. Much of the existing Layout Design literature that uses a surrogate function for flow distance or for simplified objectives may be entrapped into local optimum; and subsequently lead to a poor Layout Design due to the multiple-attribute decision making (MADM) nature of a Layout Design decision. The present study explores the use of MADM approaches in solving a Layout Design problem. The proposed methodology is illustrated through a practical application from an IC packaging company. Two methods are proposed in solving the case study problem: Technique for order preference by similarity to ideal solution (TOPSIS) and fuzzy TOPSIS. Empirical results showed that the proposed methods are viable approaches in solving a Layout Design problem. TOPSIS is a viable approach for the case study problem and is suitable for precise value performance ratings. When the performance ratings are vague and imprecise, the fuzzy TOPSIS is a preferred solution method.
Chunwei Kuo - One of the best experts on this subject based on the ideXlab platform.
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a hierarchical ahp dea methodology for the facilities Layout Design problem
European Journal of Operational Research, 2003Co-Authors: Taho Yang, Chunwei KuoAbstract:Abstract Layout Design often has a significant impact on the performance of a manufacturing or service industry system and is usually a multiple-objective problem. Neither an algorithmic nor a procedural Layout Design methodology is usually effective in solving a practical Design problem. This paper proposed a hierarchical analytic hierarchy process (AHP) and data envelopment analysis (DEA) approach to solve a plant Layout Design problem. A computer-aided Layout-planning tool was used to generate a considerable numbers of Layout alternatives as well as to generate quantitative decision-making unit (DMU) outputs. The qualitative performance measures were weighted by AHP. DEA was then used to solve the multiple-objective Layout problem. Empirical illustrations from a practical case study illustrated the effectiveness of the proposed methodology.
Khai D T Ngo - One of the best experts on this subject based on the ideXlab platform.
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automatic Layout Design for power module
IEEE Transactions on Power Electronics, 2013Co-Authors: Puqi Ning, Fred Wang, Khai D T NgoAbstract:The Layout of power modules is one of the key points in power module Design, especially for high power densities, where couplings are increased. In this paper, along with the Design example, automatic Design processes by using a genetic algorithm are presented. Some practical considerations and implementations are introduced in the optimization of module Layout Design.
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automatic Layout Design for power module
Energy Conversion Congress and Exposition, 2010Co-Authors: Puqi Ning, Fred Wang, Khai D T NgoAbstract:The Layout of power modules is one of the key points in power module Design, especially for high power densities, where couplings are increased. In this paper, along with the Design example, an automatic Design processes by using genetic algorithm are presented. Some practical considerations and implementations are introduced in the optimization of the Layout Design of the module.
Ai-ping Li - One of the best experts on this subject based on the ideXlab platform.
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Modeling and optimization for hybrid Layout Design with behavioural constraints
2009 International Conference on Mechatronics and Automation, 2009Co-Authors: Hong Zhang, Ai-ping LiAbstract:As a complex engineering problem, the hybrid Layout Design with behavioural constraints is difficult to resolve by using conventional approaches. The challenges stem from three aspects: computational complexity, engineering complexity, and engineering practicability. This paper addresses the major issue in establishing three-dimensional Layout models to support optimization calculation and constructing the efficient optimization algorithm to get the Layout scheme. Based on the octree modeling algorithm, a three-dimensional solid model expression method on Layout Design is proposed to solve the corresponding problems. The error analysis of the octree expression model is given by comparing with Design schemes. The mathematics models of Layout problem are established on the Design requirements, and then an efficient Layout algorithm base on improved Ant Colony Optimization algorithms is given for solving combinatorial optimization problems on Layout Design. The flow chart of algorithms is given. At last, the Design examples are given to illustrate effectiveness with respect to the Layout Design scheme.
