due to business and environmental issues, the efficient design of an integrated forward/reverse logistics network has recently attracted more attention from researchers. the significance of transportation cost and customer satisfaction spurs an interest in developing a flexible network design model with different delivery paths. this paper proposes a flexible mixed-integer programming model to ...

This study investigates environment sensitive and perishable products (ESPPs) logistics problem, which is called cold chain logistics problem (CCLs). Based on a comprehensive literature review, we found that there is much room to improve regarding of the risks management in cold chain logistics, that is, the development of a comprehensive cold chain logistics design methodology should considere...

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...

Recently, urbanization has been expanded rapidly in the world and a number of metropolitan areas have been appeared with a population of more than 10 million people. Because of dense population in metropolitan and consequently increasing the delivery of goods and services, there has been a lot of problems including traffic congestion, air pollution, accidents and high energy consumption. This m...

During the last decade, reverse logistics networks received a considerable attention due to economic importance and environmental regulations and customer awareness. Integration of leading and reverse logistics networks during logistical network design is one of the most important factors in supply chain. In this research, an Integer Linear Programming model is presented to design a multi-layer...

In logistics management, selecting the carriers to deliver freight is a critical process for global enterprises. This paper determines the optimal carrier selection based on a multi-commodity reliability criterion for a logistics network subject to budget. Traditionally, a logistics network includes nodes and routes connecting the supplier and customer. Along each route, several carriers are av...

today, due to the direct and reverse logistics plays an important role in reducing the costs in supply chain. in this paper, in order to provide a closed-loop supply chain network including supply centers, production, distribution, collection, recycling and disposal of a used linear mixed integer programming. this paper to consider multi-period and multi-product in multi-level supply chain and ...

A public logistics network (PLN) is proposed as an alternate network to private logistics networks for the ground transport of parcels. In a PLN, a pricing protocol is used to coordinate the operation of the network. The goal of the proposed protocol is to match the load that values transport the highest with the truck that can provide that service at the least cost. This protocol has been impl...

In order to reduce the loss in the circulation of agricultural products, and to reduce the total cost, this article minimizes the operation cost by establishing an objective function when designing the cold chain logistics distribution network. Considering the characteristics of the cold chain products, this paper regards construction cost of network nodes, transportation cost and damage cost a...

Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the t...