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...

Manufacturing firms concentrate on their core competences to prevail in fierce competition. This concentration lead manufacturing firms to shift large shares of their value creation to their suppliers. As a result, the supply network drives the economic performance of manufacturing firms through three measures; individual performance of suppliers (1), their arrangement and the structure of the ...

A supply chain is composed of a complex sequence of processing stages, ranging from raw materials supplies, parts manufacturing, components and end-products assembling, to the delivery of end products. In the context of supply chain management, supplier selection decision is considered one of the key issues faced by operations and purchasing managers to remain competitive. Therefore, requiremen...

in recent decades, the simultaneous design of a product and its supply chain has become a trend in the manufacturing industry. This approach, requiring massive data sharing, allows different designers to collaborate in order to choose the best product design along with its corresponding supply chain, taking into account cost, quality, and time. To get a successful collaboration between designer...

Problem definition: We study the sales planning problem of a producer who sells new and remanufactured versions durable good over finite life cycle. investigate whether slowing down product diffusion by choosing to partially satisfy demand might be profitable for producer. Academic/practical relevance: provide insights into management in closed-loop supply chains uncovering role key market char...

 Data envelopment analysis (DEA) is a nonparametric technique that includes models to evaluate the relative efficiency of Decision Making Units (DMUs). It has the ability to separate efficient units and inefficient units. One of the applications of this mathematical technique is evaluating performance of supply chain. According to such as the inefficiency factors of one DMU, is existence conges...