Optimization of the Inflationary Inventory Control Model under Stochastic Conditions with Simpson Approximation: Particle Swarm Optimization Approach | ||
| Interdisciplinary Journal of Management Studies | ||
| مقاله 3، دوره 8، شماره 2، 2015، صفحه 203-220 اصل مقاله (657.94 K) | ||
| نوع مقاله: Review article | ||
| شناسه دیجیتال (DOI): 10.22059/ijms.2015.52631 | ||
| نویسندگان | ||
| Seyed Mostafa Orand1؛ Abolfazl Mirzazadeh* 2؛ Farzaneh Ahmadzadeh3؛ Farid Talebloo4 | ||
| 1Faculty of Industrial Engineering, Islamic Azad University, Science and Research Branch, Saveh, Iran | ||
| 2Faculty of Industrial Engineering, Kharazmi University, Tehran, Iran | ||
| 3Faculty of Industrial Engineering, Islamic Azad University, Karaj Branch, Iran | ||
| 4Department of Information Technology of Sufi Razi, Zanjan, Iran | ||
| چکیده | ||
| In this study, we considered an inflationary inventory control model under non-deterministic conditions. We assumed the inflation rate as a normal distribution, with any arbitrary probability density function (pdf). The objective function was to minimize the total discount cost of the inventory system. We used two methods to solve this problem. One was the classic numerical approach which turned out to be prohibitively difficult. The other was a proposed combination method which used Simpson approximation and particle swarm optimization (PSO). To illustrate the theoretical results, we have provided numerical examples. | ||
| کلیدواژهها | ||
| Inflation؛ Inventory systems؛ particle swarm optimization؛ Simpson approximation؛ Stochastic | ||
| مراجع | ||
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