This study proposes an integrated, reverse logistics supply chain planning process with modular product design that produces and markets products at different quality levels. A mixed integer programming (MIP) model formulates the overall planning process required to maximize profit by considering the collection of returned products, the recovery of modules and the proportion of the product mix ...

Consider a congested urban logistics network with one depot and many geographically dispersed retailers facing demands at constant and deterministic rate over a period of planning horizon, but the lead time is variable due to traffic congestion. All stock enters the logistics network through the depot and from where it is distributed to the retailers by a fleet of vehicles. In this paper, we pr...

One of the most important concerns of reverse logistics network design is to locate interacting facilities in an efficient and cost effective manner, which forms a typical hierarchical system with multiple layer configuration. Considering the hierarchical relationship and flow of waste among the different facility types, both single-flow pattern and multi-flow pattern are discussed in this pape...

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...

Attention with reverse logistics networks has increased during the last decade since their economic impact has been increasingly important and as environmental legislation has been becoming stricter. In this paper, A multi-period multi-echelon forward–reverse logistics network design under risk model is developed. The proposed network structure consists of three echelons in the forward directio...

With development of technology and science and continuous increase in productivity, product life cycles are shortened and customer demands are more personalized and diversified, which makes companies face with ever changing and unpredictable competitive environment. Therefore, rapid response to market competition has become one of the main focuses and the competitive advantages. Today, one of t...

As recognized by several authors, the design of a reverse logistics network is a complex problem and still relatively unexplored and underdeveloped. We propose a binary particle swarm optimization (BPSO)-based scheme for solving a NP-hard remanufacturing network design problem. The algorithm combines a traditional stochastic search with an optimal solution method for solving to optimality a rel...

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...

Aiming at improving the efficiency of food cold-chain logistics network, shortening the logistic time of food and reducing the logistics cost of food, this study analyzes the optimization strategy and various cost factors of the supply network of food cold chain and establishes and expands a kind of logistics network model adapting to the food cold-chain logistics. We use an improved genetic al...