Hamidreza Jafari; Alborz Hajikhani
Volume 3, 1(4) , December 2016, , Pages 30-38
Abstract
One of the main problems in production process of composite curly sheet process is long time duration of impregnability of needle mat to resin operation and high costs of this operation. Increased time of impregnability operation in production process caused the occurrence of ravine and consequently ...
Read More
One of the main problems in production process of composite curly sheet process is long time duration of impregnability of needle mat to resin operation and high costs of this operation. Increased time of impregnability operation in production process caused the occurrence of ravine and consequently the output amount of production line is dramatically reduced. Removing ravine or reducing its time, has direct effect on production increase therefore the cost price of final product will decrease too. In this article first by using design of experiment technique, the effective factors on reducing operation time in production process are identified, in next stage, appropriate functions for variables of time respond and direct cost of impregnability operation was processed as separated on each agent level. Then, using multiple objective design making techniques, optimum levels of each factor for each formed model was determined and finally, the best achieved answer from processed models is chosen as optimum final answer. Model sensitiveness toward changes in importance degree of each of the aims is also analyzed and studied in comparison with each other.
Alborz Hajikhani; Mahtab Panahifard; Mohsen Malekmohamadi; Azar Azadi; Jamshid Bahrami
Volume 1, Issue 4 , October 2014, , Pages 250-258
Abstract
In this paper, the problem of scheduling in a two-stage supply chain system is investigated with considering coordinated scheduling of different stages. The objective is to find the similar sequences of processing tasks in two steps with two aims of minimizing the total preparation time as well as the ...
Read More
In this paper, the problem of scheduling in a two-stage supply chain system is investigated with considering coordinated scheduling of different stages. The objective is to find the similar sequences of processing tasks in two steps with two aims of minimizing the total preparation time as well as the maximum preparation time of each stage. To do so, the problem has been solved by non-dominant sorting genetic algorithm (NSGA-II) and using a variety of multi-objective techniques. The proposed meta-heuristic algorithm is applied for the first time in this problem. The results show that the proposed algorithm is able to find Pareto optimal solutions with a high efficiency.