a continuous review inventory control model within batch arrival queuing framework: a parameter-tuned imperialist competitive algorithm

نویسندگان

mohammad alaghebandha

seyed hamid reza pasandideh

vahid hajipour

چکیده

in this paper, a multi-product continues review inventory control problem within batch arrival queuing approach (mqr/m/1) is modeled to find the optimal quantities of maximum inventory. the objective function is to minimize summation of ordering, holding and shortage costs under warehouse space, service level, and expected lost-sales shortage cost constraints from retailer and warehouse viewpoints. since the proposed model is np-hard, an efficient imperialist competitive algorithm (ica) is proposed to solve the model. to justify proposed ica, a simulated annealing algorithm has been utilized. in order to determine the best value of algorithms parameters that result in a better solution, a fine-tuning procedure is executed. finally, the performance of the proposed ica is analyzed using some numerical illustrations.

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عنوان ژورنال:
journal of optimization in industrial engineering

ناشر: qiau

ISSN 2251-9904

دوره 5

شماره 11 2012

میزبانی شده توسط پلتفرم ابری doprax.com

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