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Following shopping-mall and supermarket, TV-shopping has become a newly developed retailing mode, which is characterized by broad coverage, direct information transmittal and convenient buying behavior. This paper studies the logistics delivery support capability for TV-shopping business, and finds out that this new business has significant sensitivity to logistics delivery time. The influence of...
This paper studies the pricing and ordering policy of a two-echelon supply chain with a supplier and a retailer. The retailer has accurate demand information while the supplier does not. The research shows that the uncertainty of the supplier on the demand will lead to a reduction of the supplier's expected profit, which also shows the value of information. Moreover, if the supplier overestimates...
The impacts of the home-appliance replacement with and without subsidy on the new product demand will affect the price decisions for new product. In this paper, considering two cases with subsidy and without subsidy, we studied the price decisions for the manufacturer and the retailer in three periods: in the first period, there is no home-appliance replacement and without the financial subsidy; in...
In this paper, studies that the profits of the retailer, the manufacturer and the supply chain in the revenue-sharing contract under twice ordering policy. Under such contract, the manufacturer decides the revenue-sharing contract ratio and the retailer's unit purchase price. The retailer can only accept or refuse the contract. When the retailer accept the contract, the retailer will decides the first...
Each entity has independent decision right in the supply chain. Incentive for each entity is the main reason for the inefficiency in the system under asymmetric information. Supplier can encourage retailer to declare its real type of selling cost by designation for credit period contract in the two-echelon supply chain. So, individual member reaches win-win, meanwhile, the supply chain whole efficiency...
Demand forecasting is the basis of business operation in a company and the forecasting accuracy has a great effect on safety inventory, profit and competitive power of the company. In this paper, a novel genetic algorithm (GA) and back propagation (BP) algorithm based fuzzy neural network (GABPFNN) model is proposed for demand forecasting, in which new kinds of fuzzy rule generating and matching algorithms...
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