With the development of China’s express delivery industry, number packaging has proliferated, leading to many problems such as environmental pollution and resource waste. In this paper, process reverse logistics network design for recycling is given an example in M region, a four-level containing primary nodes, centers, processing terminals established. A candidate node selection model based on...

In this paper, we proposed and trained a fuzzy neural network system to estimate future logistics demand. The structure of neural network in the system is similar to that of BP network, except that here the nonlinear sigmoid functions in the networks are replaced by fuzzy reasoning process and wavelet functions respectively. Moreover, the trained network system is put into practical logistics d...

Among the various aspects of SCM, emphasis has been placed on reverse logistics: closing the loop of a supply chain by integrating waste materials into logistic management decisions. Logistics network design is commonly recognized as a strategic supply chain issue of prime importance. While consumers traditionally dispose of products at the end of their life cycle, product take-back legislation...

RFID systems known to improve supply chains performances are not well-implemented in industry, particularly in the field of transport, due to the high economic investment it requests in comparison to other existing solutions. However, their benefits may be theoretically proved by using a distributed simulation platform to support the design and test of any technical solution and organisational ...

Supply chain management has become more and more difficult because of the increasing complexity and expansion of supply chains (SCs). In this context, collaboration and coordination of logistics flows among SCs’ actors, such as suppliers, customers, and logistics providers, play an important role to enhance SC performance in terms of time and cost. In this paper, the design and management of lo...