An Overview of Reverse Logistics

Until recently, investment in logistics has focused mainly on the flows fromcompanies to markets. Growing concerns for the environment and conserving resources have created newlogistical approaches to more effectively manage the distribution function, and make better use ofthe resources a-vailable to an organization. One such approach is reverse logistics, which usesvarious methods to give scope for a back-load of finished products, components, waste, reusablepacking, etc. from consumer to manufacturer. Back-loads allow manufacturers to reduce costs by usingthe distribution vehicle''s return journey to create income or added value. This basic concept isnow being developed to create novel solutions to the problems of reducing pollution, costs andvehicle movements, whilst maintaining high customer service levels. In this paper, the idea ofreverse logistics is presented; motivations for it are analyzed , several successful practices aredemonstrated and some important truths regarding successful reverse logistics are identified, trendof reverse logistics is provided.

Information System Construction and Function Module Design Based on Reverse Logistics

Reverse logistics are playing more and more important role with the development of competition and the social responsibility of enterprises.It could be divided into commission acceptance,recycling and returned goods handling.Reverse logistics information system consists of the database establishment,network structure and logic structure design.The collection,storage,processing,transmission and output functions of the reverse logistics information system were discussed in the thesis.Eventually,it established seven modules for the reverse logistics information system including the system management module,oriented module,returning goods processing module,reverse transportation management module,information sharing module,statistical analysis module and cost control module.

Hybrid Intelligent Approach for the Selection of Third-Party Reverse Logistics Provider under Uncertainty

A hybrid intelligent approach is proposed to help the decision maker to select the appropriate third-party reverse logistics provider. The following process is included: firstly,the evaluation team is established to determine the selection criteria and evaluate them by triangular fuzzy numbers; secondly,calculate the weight of criteria by the proposed hybrid algorithm integrating particle swarm optimization( PSO) and simulated annealing( SA); then, the performance evaluation for each supplier is predicted by the proposed self-feedback neural network( SFBNN) based on the historical data. A numerical example is also presented to interpret the methodology above.

Designing a Reverse Logistics Network Model for Waste Batteries

The logistics industry plays an important role in circular economy.Therefore,not only economic benefits,but also environmental protection factors have to be considered in reverse logistics.This paper uses the multi-objective 0-1 mixed integer programming to establish a reverse logistics network optimization model for waste batteries.The objective function is to minimize both,logistics costs and carbon dioxide emissions.The model considers the basic settings of reverse logistics(including recycling nodes,manufacturing,and processing nodes)and the material flow between different settings.In solving the model,Lingo 14.0 is used in this paper.An actual case of a waste battery reverse logistics enterprise verifies the effectiveness of the model in this paper.The results show that the application of this model can effectively improve the operating efficiency of waste battery reverse logistics enterprises.

A Kind of Backwards Thinking-fast Moving Consumer Goods (FMCG) Stock-controlling Analysis

To control the material purchase of solve the problem of purchase planning, this a fast moving consumer goods （FMCG） enterprise warehouse and paper formulates an integrated system of reverse logistics operated with a demand forecast model and an economic storage model. This is based on the supply chain and focused on the marketing terminal. By analyzing the integrated system reverse logistics and the timely information marketing terminal, the purpose is to effectively alleviate or solve the terminal stock-out which needs to and oversupply which needs to return. According to the system, it can provide a theoretical basis for the inventory cost control from the replenish enterprise

COORDINATING PRODUCTION AND RECYCLING DECISIONS WITH STOCHASTIC DEMAND AND RETUR

In this paper, the joint production and recycling problem is investigated for a hybrid manufacturing and remanufacturing system where brand-new products are produced in the manufacturing plant and recycled products are remanufactured into as-new products in the remanufacturing facility. Both the brand-new products and remanufactured products are used to satisfy customer demands. Returns of used products that are recycled from customers are assumed to be stochastic and nonlinearly price-dependent. A mathematical model is proposed to maximize the overall profit of the system through simultaneously optimizing the production and recycling decisions, subject to two capacity constraints ？ the manufacturing capacity and the remanufacturing capacity. Based on Lagrangian relaxation method, subgradient algorithm and heuristic algorithm, a solution approach is developed to solve the problem. A representative example is presented to illustrate the system, and managerial analysis indicates that the uncertainties in demand and return have much influence on the production and recycling policy. In addition, twenty randomly produced examples are solved, and computational results show that the solution approach can obtain very good solutions for all examples in reasonable time.

Optimal Timing and Recycling Operation Mode for Electro-Mechanical Products Active Remanufacturing

The uncertainties of remanufactured products in multi-life cycle service, such as injury and restoration process route, are comprehensively analyzed in the present study from perspectives of cost and the environment. Based on life cycle assessment method and the life cycle cost analysis, the optimal timing model of active remanufacturing for electro-mechanical products is established considering these uncertainties. In addition, regarding the active remanufacturing as its guidance, this study explores the economic efficiency and corresponding operation mode of electro-mechanical products when recycling in the optimal timing. To validate the optimal timing model for electro-mechanical products active remanufacturing, a specific type of product is taken as a case study with mathematical statistics method and Monte Carlo simulation.

The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing

Logistics resource planning is an integration model of materials requirement planning and distribution resource planning which is a resource allocation technology. It is a technology of satisfying both production material supply and resource allocation optimization which is based on inventory management. For the remanufacturing supply chain, recycling and rebuilding of products form a reverse materials movement loop which challenges the traditional logistics resource planning system. For the characteristics of reverse logistics of remanufacturing supply chain, we propose a closed-loop supply chain resource allocation model based on autonomous multientity. We focus on integration resource allocation model of materials requirement planning and distribution resource planning considering remanufacturing.