مدلسازی زنجیره تامین سه سطحی با اطلاعات ناقص و غیر قطعی به منظور تحلیل اثرات آن | ||
| مدیریت مهندسی و رایانش نرم | ||
| دوره 10، شماره 2 - شماره پیاپی 19، اسفند 1403، صفحه 161-181 اصل مقاله (931.21 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22091/jemsc.2025.11755.1227 | ||
| نویسندگان | ||
| جهانبخش محمودزاده1؛ محمد مهدی موحدی* 2؛ سید احمد شایان نیا1 | ||
| 1گروه مدیریت صنعتی، واحد فیروزکوه ،دانشگاه آزاد اسلامی، فیروزکوه، ایران | ||
| 2گروه مدیریت صنعتی، واحد فیروزکوه، دانشگاه آزاد اسلامی، فیروزکوه، ایران | ||
| چکیده | ||
| پژوهش حاضر به ارائه مدل سه سطحی با اطلاعات ناقص وغیر قطعی زنجیره تامین پرداخته است. اهداف مسئله شامل تعیین بهترین تصمیم هر یک از بازیکنان برای تعیین مقدار سفارش بهینه و کمبود برای تولید کننده و قیمت فروش هر بازیکن با توجه به کمبود، تخفیف و هزینه های نگهداری، خرید و بازاریابی برای دستیابی به حداکثر درآمد، حداقل هزینه ها و در مجموع آن، حداکثر سود ممکن برای کل بازیکنان شرکت کننده در زنجیره است. برای حل مدل از نرم افزار گمز و الگوریتم های فرا ابتکاری استفاده شده است . با توجه به در زمره پیچیدگی سخت بودن مسایل زنجیره تامین حلقه بسته، مسئله پیش رو نیز در زمان معقول برای ابعاد موجود در دنیای واقعی حل شدنی نیست. از این رو، برای حل آن از رویکرد فراابتکاری در قالب الگوریتم های ژنتیک و بهینه سازی ازدحام ذرات و ترکیب این دو الگوریتم استفاده شده است. نتایج نشان می دهد که که الگوریتم ترکیبی ژنتیک و ازدحام ذرات در مقایسه با الگوریتم های ژنتیک و ازدحام ذرات از عملکرد بهتری برخوردار بوده است. | ||
| کلیدواژه‌ها | ||
| زنجیره تامین؛ الگوریتم های فرا ابتکاری؛ الگوریتم ژنتیک؛ الگوریتم ازدحام ذرات | ||
| عنوان مقاله [English] | ||
| Three-level supply chain modeling with incomplete and uncertain information in order to analyze its effects | ||
| نویسندگان [English] | ||
| Jahanbakhsh Mahmoudzadeh1؛ Mohammad Mahdi Movahedi2؛ Seyed Ahmad Shayannia1 | ||
| 1Department of Industrial Management, Firouzkoh Branch, Islamic Azad University, Firozkoh, Iran | ||
| 2Department of Industrial Management, Firozkoh Branch, Islamic Azad University, Firozkoh, Iran | ||
| چکیده [English] | ||
| The present study presents a three-tier model with incomplete and uncertain information of supply chain needs, benefits and services. Objectives of the issue include determining the best decision to determine the optimal order amount and shortage for the manufacturer and the selling price of each player according to the shortage, discount and maintenance costs, purchase and marketing to achieve maximum revenue, minimum costs and The sum is the maximum possible profit for all the players participating in the chain. To solve the model, Gamz software and meta-heuristic algorithms have been used and finally, Given the complexity of the complexity of closed-loop supply chain problems, the problem ahead cannot be solved in a reasonable time for real-world dimensions. Therefore, to solve it, the meta-heuristic approach in the form of genetic algorithms and optimization of particle aggregation and the combination of these two algorithms have been used. The results show that the combined algorithm of genetics and particle swarming has a better situation compared to genetic and particle swarming algorithms. | ||
| کلیدواژه‌ها [English] | ||
| Supply Chain, Meta- heuristic Algorithms, Genetic Algorithm, Particle Swarm Algorithm | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 148 تعداد دریافت فایل اصل مقاله: 149 |
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