Modern multiagent technology can be applied fruitfully to supply chain or to be more precise to demand chain management. In current research there is not much discussed in this direction because today’s business processes are often characterized more by small solutions than by integrated ones. This paper will prove that this approach offers very new and challenging possibilities to manage deman...

V. Agrawal and S. Seshadri (2000) [Risk intermediation in supply chains. IIE Transactions, 32, 819–831] considered a problem in which 7 a single risk neutral distributor supplies a short-lifecycle, long-leadtime product to several retailers that are identical except in their attitudes towards risk. They proved that the distributor should not offer the same terms to every retailer but instead of...

This article develops a dynamic game model of a supply chain consisting of one manufacturer and one retailer to study the coordination mechanism and the effect of demand disruption on the coordination mechanism, where the market demand is sensitive to retail price and service. We assume that the supplier and the retailer only know the distribution of the disrupted amount after the demand disrup...

Supply chain demand prediction plays a very important role for enterprises to realize sales and markets management target effectively, especially for fresh agricultural product enterprises. A new model for supply chain demand prediction for fresh agricultural product enterprises is presented based on improved BP neural network. First the advantages and disadvantages of BP neural network algorit...

Though often analyzed separately, supply chain instability and customer demand interact through product availability. We investigate the feedback between supply chain performance and demand variability in a model grounded in a first-hand study of the hybrid push–pull production system used by a major semiconductor manufacturer. While customers’ response to variable service levels represents an ...

Integrating various suppliers to satisfy market demand is of great importance for e ective supply chain management. In this paper, we consider the ODE-PDE model of supply chain and apply a classical explicit fourth-order Runge-Kutta scheme for the related ODE model of suppliers. Also, the convergence of the proposed method is proved. Finally a numerical example is studied to demonstrate the acc...

in this paper, a two-echelon supply chain, which includes two products based on the following considerations, has been studied and the bullwhip effect is quantified. providing a measure for bullwhip effect that enables us to analyze and reduce this phenomenon in supply chains with two products is the basic purpose of this paper. demand of products is presented by the first order vector autoregr...

This paper studies the effects of information sharing strategies on supply chain performance. We first consider four common types of information sharing strategies for a supply chain of a single product: (1) order information sharing where every stage of the supply chain only knows the orders from its immediate downstream stage; (2) demand information sharing where every stage has full informa...

Demand fluctuations in the supply chain lead to uncertainty in inventory policy and thereupon the inventory costs increase. This paper considers the impact of forecasting on the demand variation in a serial three-stage supply chain including a retailer, a manufacturer and a supplier. Four forecasting methods are considered and demand variations evaluated as bullwhip effect measure. We use analy...