At present, with the adjustment of the structure of the steel industry, the steel logistics industry is also engaged in integrating. Steel logistics resource integration is an important problem to be solved. Based on previous research on steel logistics resource integration, this paper proposes a new research perspective on steel logistics resources integration: supply-demand network of steel l...

This research study presents a comprehensive model for selection of decisive criteria to develop and integrate a fourth-party logistics concept in humanitarian logistics sector. The model is based on applying an analytic network process for determination of final criteria selection for a fourth-party logistics solution. The analytic network process is used to solve complex multiple qualitative ...

Logistics network design is commonly recognized as a strategic supply chain issue of prime importance. The location of production facilities, storage concepts, and transportation strategies are major determinants of supply chain performance. This chapter considers logistics network design for the particular case of closed-loop supply chains. We highlight key issues that companies are facing whe...

In order to solve closed-loop logistics network design problem in the low-carbon economic environment, in this paper, queuing theory is used to calculate the amount of storage of reverse logistics nodes and interval number is used to describe the uncertainty of the logistics network, a bi-objectives logistics network design model which minimum the total cost and carbon emissions of logistics ne...

The main objective of this research is to answer the following research question “How should a company design their reverse logistics network in a more efficient or responsive way?” In this research, a conceptual framework has been developed based on several key factors for network design. Through the analysis of each key factor affecting network design decision, we have built a conceptual fram...

Regional logistics demand prediction directly affects regional economy development and logistics planning. Grey prediction, BP neural network, grey neural network and other methods have been widely used in the prediction of complex nonlinear logistics demand system. In this study, an improved grey neural network model was proposed based on these models. First, in this model, the grey influence ...

E. Rod Butchers Network Logistics, Air New Zealand Ltd. Private Bag 92007, Auckland, New Zealand Paul R. Day Optimal Decision Technologies Ltd. P.O. Box 128-233, Remuera, Auckland, New Zealand Andrew P. Goldie Optimal Decision Technologies Ltd. Stephen Miller Network Logistics, Air New Zealand Ltd. Jeff A. Meyer Optimal Decision Technologies Ltd. David M. Ryan Department of Engineering Science,...

The 21st century is an age of information with constant development of computer network, which has brought much convenience for people’s life; while logistics is an indispensable part of modern people’s life. Since people are having higher and higher demand for quality of life, the traditional logistics management system hasn’t been able to adapt the market. Internet, as a necessary product of ...