Amin Elkharbotly - Academia.edu (original) (raw)
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Eindhoven University of Technology
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Papers by Amin Elkharbotly
The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with t... more The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with the objective of minimizing the design cost and regret cost is developed to achieve a reliable supply chain network. The improvement of supply chain network reliability is measured against the supply chain cost.
Ain Shams Engineering Journal, 2011
Two-sided assembly lines are common industrial practice in the assembly of large-sized products. ... more Two-sided assembly lines are common industrial practice in the assembly of large-sized products. In this paper a Genetic Algorithm (GA) is developed to solve the two-sided assembly line balancing problem. The developed GA specifies a new method for generating the initial population. It applies a hybrid crossover and a modified scramble mutation operators. A proposed station oriented procedure is adopted for assigning tasks to mated-stations. It specifies the side of the Either tasks based on proposed side assignment rules rather than assigning them randomly. These rules are effective especially in large problems. The proposed method of generating the initial population is able to generate feasible solution in different areas of the search space. The applied genetic operators are able to preserve the feasibility of all solutions throughout all the developed generations. The proposed GA is able to find the optimum and near optimum solutions within a limited number of iterations.
The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with t... more The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with the objective of minimizing the design cost and regret cost is developed to achieve a reliable supply chain network. The improvement of supply chain network reliability is measured against the supply chain cost.
Ain Shams Engineering Journal, 2011
Two-sided assembly lines are common industrial practice in the assembly of large-sized products. ... more Two-sided assembly lines are common industrial practice in the assembly of large-sized products. In this paper a Genetic Algorithm (GA) is developed to solve the two-sided assembly line balancing problem. The developed GA specifies a new method for generating the initial population. It applies a hybrid crossover and a modified scramble mutation operators. A proposed station oriented procedure is adopted for assigning tasks to mated-stations. It specifies the side of the Either tasks based on proposed side assignment rules rather than assigning them randomly. These rules are effective especially in large problems. The proposed method of generating the initial population is able to generate feasible solution in different areas of the search space. The applied genetic operators are able to preserve the feasibility of all solutions throughout all the developed generations. The proposed GA is able to find the optimum and near optimum solutions within a limited number of iterations.