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...

Fresh fruits, vegetables and nuts represent a large, highly important, and growing industry. Nonetheless, little is known about their in vivo characterization and morphology, the effect of mechanical harvesting, peelability, postharvest mold, physiological decay, and internal quality. Currently, destructive techniques can be employed to evaluate samples for internal product attributes. However,...

nt matter & 2007 IAgrE. emseng.2007.11.011 hor. : fabrizio.dabbene@polito The design of the supply chain, and in particular of the distribution phase, for fresh-food products, such as fresh and fresh-cut produce, fruit or meat, cannot be achieved without considering the perishable nature and the variability of the products entering the chain. Motivated by these considerations, this paper presen...

By constructing a dual-channel fresh agricultural product (FAP) supply chain consisting of retailer and supplier, this paper considers the effect fresh-keeping level on freshness perishable products constructs time-varying demand function based freshness. The operating cost internet channel to supplier has also been considered in model. Optimal pricing strategy profits members under dual channe...