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...

After a brief introduction to the basic concepts of reverse logistics, we present a two-level location problem with three types of facility to be located in a specific reverse logistics system, named a Remanufacturing Network (RMN). For this problem, we propose a 0–1 mixed integer programming model, in which we simultaneously consider “forward” and “reverse” flows and their mutual interactions....

The role of logistics in effective supply chain management is increasingly critical, and researchers and practitioners have recently focused their attention in designing more intelligent systems to address today’s challenges. In this paper, we focus on one such challenge concerning improving the role of the customer in logistics operations. In particular, we identify specific developments in th...

In order to recycle and dispose of all people's expired drugs, the government should design a subsidy policy to stimulate users to return their expired drugs, and drug-stores should take the responsibility of recycling expired drugs, in other words, to be recycling stations. For this purpose it is necessary for the government to select the right recycling stations and treatment stations to opti...

The interest about recovery of used products andmaterials have been increased. Therefore, reverse logistics network problem (rLNP) will be powerful and get a great potential for winning consumers in a more competitive context in the future. We formulate amathematical model of remanufacturing system as three-stage logistics networkmodel for minimizing the total of costs to reverse logistics ship...

This study is based on the concept of converting agricultural waste into green new energy, we combine cycle development and relevant theories in modern system engineering to optimize production recycling network. In this paper, optimization network divided two aspects—facility site selection vehicle path planning—with objectives minimization construction operational costs. study, planning probl...

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 ...

Infrastructure modelling is a strategic level activity to make one or more decisions on the optimum location, number and allocation of service providers. This problem has been intensively researched in academic literature and traditionally focuses on minimizing total logistics costs or maximizing profit. But in many cases the optimum may involve dealing with multiple and sometimes conflicting o...

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,...