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With the trend of globalization, increased customer demand and advancement in technology development, firms are experiencing ever intense pressure to collaborate with their trading partners to compete with other supply chains. Firms are seeking to collaborate with their partners at greater extent in the areas such as knowledge management to exploit the potentials of an efficient and effective supply...
Supplier's quality not only influences manufacture enterprise's achievement, but also determines the successful operation of entire supply chain. How to choose supplier scientifically and efficiently, and make stout supply chain system, have become a key point for the manufacture enterprise's decision-making day after day. Some methods have been proposed to select supplier such as neural network and...
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially,...
The multidepot vehicle routing problem with interdepot routes (MDVRPI) is an extension to the classical vehicle routing problem (VRP); it is the major research topics in the supply chain management field. It is an extension of the multidepot vehicle routing problem in which vehicles may be replenished at intermediate depots along their route. In this paper, we propose a heuristic combining the adaptative...
In order to improve the supplier selection and matching supply with demand for third party logistics integrated platform, this paper proposes a three-layer evaluation index system for supply and demand matching considering factors of service areas and cooperation experiences, establishes a supply and demand matching model based on neural network. This model perfectly simulates the process of fuzzy...
The optimization of supply chain distribution network need to consider many factors, especially useful information derived from distributors. In this paper, We consider a supply chain consisting of two layers, they are one manufacture and many distributors. Each distributor has full knowledge about his own value-added cost structure. The problem is to design the optimal distribution network for the...
This paper applies the multi-agent system Strategy to collaborative negotiation in manufacturing supply chain coordination. Multi-agent computational environments are suitable for studying a broad class of coordination and negotiation issues involving multiple autonomous or semiautonomous problem solving agents.
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