طراحی یک مدل شبیه‌سازی موجودی چندسطحی، چندمحصولی و مقایسه آن با مدل های منتخب (مورد مطالعه: صنایع فولاد ایران)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، پردیس بین‌المللی کیش، دانشگاه تهران.

2 استاد، دانشگاه تهران.

چکیده

در این پژوهش طراحی و مقایسه یک مدل شبیه‌سازی موجودی چندسطحی، چندمحصولی در صنایع فولاد ایران ارائه می‌شود. مدل شبکه واگرا با چند محصول نهایی و چند محصول میانی و یک قلم محصول اولیه در نظر گرفته می‌شود. هدف کمینه‌سازی تابع هزینه با حفظ حداقل سطح سرویس‌دهی موردنظر برای هر تسهیل که  با نرخ پرسازی سنجیده می‌شود. در مدل ارائه‌شده با داشتن یک نقطه شدنی و موضعی­سازی درجه دوم تابع هدف و خطی قیود پیرامون آن نقطه و استفاده از الگوریتم ژنتیک در رسیدن به نقطه‌ی بهینه موضعی کوشیده شده است. ازآنجاکه برآوردهای نقطه‌ای تابع هدف و نرخ‌های پرسازی به کمک شبیه‌سازی انجام می‌گیرد از آزمون فرض‌های آمــاری برای بررسی شدنی و بهبود جواب‌ها استفاده می‌شود. پس از  اعتبار سنجی، مدل بااستفاده از اطلاعات شرکت فولاد مبارکه در یک شبکه‌ سه­سطحی اجرا می‌شود. با توجه به این نکته که موضعی­سازی خطی حالت خاصی از موضعی‌سازی درجه دوم است؛ ازاین‌رو با اطمینان بیشتری می‌توان انتظار داشت نقطه به‌دست‌آمده از این مدل، بهتر از حالت موضعی­سازی خطی باشد. 

کلیدواژه‌ها

عنوان مقاله [English]

Designing a Multi-Level Multi-Product Inventory Simulation Model and comparing it with the Selected Models; Case: Iran Steel Industries

نویسندگان [English]

  • Sayyed Mohammad Reza Davoodi 1
  • Fariborz Jolai 2
  • Ali Mohaghar 2
  • Mohamad Reza Mehregan 2
1 Ph.D. Student, Kish International Campus, Tehran University.
2 Professor, Tehran University.
چکیده [English]

Inventory control is one of the important issues in supply chain management. The present study deals with designing and comparing a multi-level multi-product inventory simulation model in Iran steel industries. The divergent supply chain network model is considered with several final products, several middle products and one primary product. The purpose is to minimize cost function by maintaining the minimum level of service offering for each facilitation that is measured by means of fill rate. It is tried in the proposed model to achieve a local optimal point by having a possible point and second-order localization of the target function and linear constraints around that point as well as the use of genetics algorithm. Since point estimations of the target function and fill rates are carried out with the help of Monte Carlo simulation, statistical hypothesis testing is employed to test the possibility and improve the responses. After validation is fulfilled, the model is implemented in a three-level network via the information of Mobarakeh Steel Company. Given that linear localization is a specific state of second-order localization, it can be expected with more confidence that the achieved point in this model is better than the linear localization state. 

کلیدواژه‌ها [English]

  • Supply Chain Management
  • Simulation-based Optimization
  • Multi-Level Inventory Control
  • Iran Steel Industries

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