Centralized Decisions for a Two-Stage Supply Chain with Price-Discount Dependent Demand

In this paper,we study a centralized supply chain for a two-stage with selling price discount.This supply chain consists of a supplier and a retailer. Based on the feature that the product’s selling season is short and the supply chain faces great demand uncertainty. We consider a two-stage scenario where,at the beginning of stage 1,the supplier reserves production capacity based on historic data in advance,stage 2 comes to us after some leadtime,both the supplier and the retailer update the demand information,the retailer then places an order not exceeding the reserved capacity based on the selling-pricing discount dependent demand. We make optimal decisions on the reserved capacity in stage 1,selling price discount and order quantity in stage 2. In this supply chain,the pattern in stage2 is figured out first,and then stage 1 is cleared as well. Then we present a numerical example to give some insights. Finally we get some conclusions.

Fluid approximation for generalized Jackson network with vacations

用一种跳的技术，我们证明没有假期，有假期的概括杰克逊网络(GJN ) 的液体模型与 GJN 一样，它意味着那假期机制不在液体近似下面影响 GJN 的动态性能。而且，以便在 GJN 的表演上介绍假期的影响，我们证明为液体近似的集中的那指数的率仅仅为大 N 成立，没有假期，它与 GJN 不同。液体近似和集中率上的结果被队列长度，工作量，和忙时间过程表达。

STABILITY OF GENERALIZED JACKSON NETWORKS WITH INFINITE SUPPLY OF WORK

有工作的无限的供应的一个一般杰克逊网络(GJN ) 被考虑。由液体限制模型，作者发现与工作的无限的供应描述 GJN 的动力学的 Markov 过程是积极哈里斯周期性如果相应液体模型是稳定的。而且，如果平常的交通条件成立，作者证明液体模型是稳定的。