| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
|---|---|---|---|---|
| 1133820 | 956045 | 2013 | 10 صفحه PDF | دانلود رایگان |
کلیدواژه ها
1. مقدمه
2. توصیف مدل
شکل 1. ساختار زنجیره تامین با استراتژی FP.
3. مدل تصمیم گیری
3.1. سطح موجودی محصول نیمه تمام مورد انتظار
3.2. نرخ تخلیه
4. تقریب مدل توسط توزیع نرمال
5. حل مدل تقریبی
6. آزمایش های عددی
6.1. اثر مشترکات تقاضا pc
6.2. اثر هزینه حفظ واحد محصول تکمیل شده
6.3. اثر هزینه جریمه Cp
6.4. اثر میزان استفاده ρ
6.5. تحلیل حساسیت و عملکرد تقریب
جدول 1. حساسیت شیوه بهینه به λ، Cp ، Ch ، pc.
جدول 2. عملکرد تقریب نرمال.
7. نتیجه گیری
ضمیمه A. اثبات ها
A.1. اثبات گزاره 1
A.2. اثبات قضیه 1
A.3. اثبات قضیه 2
شکل 2. مورد 1.
شکل 3. مورد 2.
شکل 4. مورد 3.
شکل 5. مورد 4.
شکل 6. مورد 5.
شکل 7. اثر مشترکات تقاضا pc بر شیوه بهینه.
شکل 8. اثر هزینه حفظ واحد محصول تکمیل شده Ch بر شیوه بهینه.
شکل 9. اثر هزینه جریمه Cp بر شیوه بهینه.
شکل 10. اثر میزان استفاده ρ بر شیوه بهینه.
• We model the supply chain with form postponement as two-stage queuing network.
• CODP position and base-stock level are jointly optimized.
• We propose a normal distribution approximation for the objective function.
• We give a quick algorithm for finding the optimal policy of the supply chain.
The form postponement (FP) strategy is an important strategy for manufacturing firms to utilize to achieve a quick response to customer needs while keeping low inventory levels of finished products. It is an important and difficult task to design a supply chain that uses FP strategy to mitigate the conflict between inventory level and service level. To this end, we develop a two-stage tandem queuing network to model the supply chain. The first stage is the manufacturing process of the undifferentiated semi-finished product, which is produced on a Make-To-Stock basis: the inventory is controlled by base-stock policy. The second stage is the customization process based on customers’ specified requirements. There are two types of order: ordinary order and special order. The former can be met by customizing from semi-finished product, while the latter must be entirely customized beginning from the first stage. The customer orders arrive according to a Poisson process. We first derive the inventory level and fill rate, and then present a total cost model. It turns out that the model is intractable due to the Poisson distribution in the objective function. To analytically solve the problem, we use normal distribution as an approximation of the Poisson distribution, which works well when the parameter of the Poisson distribution is quite large. Finally, some numerical experiments are conducted and managerial insights are offered based on the numerical results.
Journal: Computers & Industrial Engineering - Volume 66, Issue 4, December 2013, Pages 643–652