A Continuous Review inventory Control Model within Batch Arrival Queuing Framework: A Parameter-Tuned Imperialist Competitive Algorithm

Journal of Optimization in Industrial Engineering

مقاله 2، دوره 5، شماره 11، آذر 2012، صفحه 11-24   

نوع مقاله: Original Manuscript

نویسندگان

Mohammad Alaghebandha¹؛ Seyed Hamid Reza Pasandideh¹؛ Vahid Hajipour^{* 2}

¹Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

²Young Researchers Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran

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.

کلیدواژه‌ها

Continues review Inventory control؛ Queuing theory؛ Imperialist Competitive Algorithm؛ simulated annealing