EP-based Optimization of Strategic Safety Stocks in Reverse Logistics Systems

A new heuristic strategic safety stock optimization is proposed based on evolutionary programming(EP) algorithm for reverse logistics supply chain systems. The supply chain is described with a network and the modeling complexity of external as well as internal product returns and reuses of supply chains is considered with. It is assumed that customer demands for final products are uncertain. Products are randomly returned from external customers to stock points. The optimization model is established and three different cases with different structures are used to show the strength of the algorithm.

Multiple vehicle routing problem integrated reverse logistics with fuzzy reverse demands

A new type of vehicle routing problem （VRP）, multiple vehicle routing problem integrated reverse logistics （MVRPRL）, is studied. In this problem, there is delivery or pickup （or both） and uncertain features in the demands of the clients. The deliveries of every client as uncertain parameters are expressed as triangular fuzzy numbers. In order to describe MVRPRL, a multi-objective fuzzy programming model with credibility measure theory is constructed. Then the simulationbased tabu search algorithm combining inter-route and intra-route neighborhoods and embedded restarts are designed to solve it. Computational results show that the tabu search algorithm developed is superior to sweep algorithms and that compared with handling each on separate routes, the transportation costs can be reduced by 43% through combining pickups with deliveries.

Inventory control model based on external and interior reverse logistics

To improve the inventory control strategy for enterprise and optimize inventory control parameters of existing external and interior reverse logistics, a multi-resource inventory control model is proposed to better simulate the logistics fact, which is aimed at periodic inventory checking and pull mode of inventory control strategy, based on the return product arrival time obeying Poisson distribution, the return product employing lotsize process and the nonzero lead time of manufaeturinge/remanufacturing. The rational cost function with multiple constraints is employed to describe the inventory model. The genetic algorithm is employed to solve the inventory cost function to obtain the optimal solution of inventory checking periods, safe inventory point, product lot-sizes and process lot-sizes of return product. An example is presented to prove the feasibility and validity of the proposed method. Moreover, the influence of manufacturing/remanufacturing lead time and reuse rate of return production on the inventory control strategy of enterprise is analyzed.

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.

Reverse Logistics Related to Waste Management with Emphasis on Developing CountriesmA Review Paper

This paper provides an overview of the state of art of reverse logistics and current status of waste management problems with special emphasis on developing countries. Logistics activities have been practiced and played a fundamental role in the global economic development for over 5,000 years. It has then been transformed into different logistics branches and elaborates the emergency of reverse logistics as one of the most important. The paper presents the evolution of logistics into reverse logistics and how it relates to waste management both in the developed and developing world. Reverse logistics is a relatively new phenomenon in the research area which is mainly referring to damaged goods, the take back of products that should be returned to the manufacturers or distributors. Reverse logistics is relatively more practiced in an organized way in the developed world than in the developing countries in that the latter provided less value additions on reversed products.

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.

Based on the Incentive Mechanism of Enterprise Reverse Logistics Research Literature Review

In recent years, along with the people environmental protection consciousness enhancement and the concept of circular economy enterprises to implement reverse logistics is imperative. In recent years, based on the incentive mechanism of reverse logistics literature has gradually emerged. In this paper, the concept of reverse logistics are introduced in detail, and compares the forward logistics and reverse logistics, analyzes the driving factor for the formation of reverse logistics, from the Angle of the government and the enterprise two introduces the related literature, the incentive mechanism on the basis of the summary, summarized the problems of enterprise reverse, government incentives for enterprises is discussed the importance of reverse logistics, based on the existing research results in recent years to sum up, the paper further research are pointed out.

The Status Quo of Reverse Logistics in China and Countermeasures

With the market competition becoming more and more fierce, awareness in the art and science of logistics is continuing to increase, and the field of Reverse Logistics is experiencing great interest. The purpose of this paper is to describe what Reverse Logistics is, what is it benefits, the status quo of Reverse Logistics in china and its difficulties, and give some suggestions and countermeasures on how to manage Reverse Logistics successfully under China＇s current situation.

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.

Facility location model for a remanufacturing logistics network

First a remanufactming logistics network is con- structed, in which the structure of both the forward logistics and the reverse logistics are of two levels and all the logistics facilities are capacitated. Both the remanufactming products and the new products can be used to meet the demands of customers. Moreover, it is assumed that homogeneous facilities can be designed together into integrated ones, based on which a mixed integer nonlinear programming （MINLP） facility location model of the remanufacturing logistics network with six types of facilities to be sited is built. Then an algorithm based on enumeration for the model is given. The feasible combinations of binary variables are searched by enumeration, and the remaining sub-problems are solved by the LP solver. Finally, the validities of the model and the algorithm are illustrated by means of an example. The result of the sensitivity analysis of parameters indicates that the integration of homogeneous facilities may influence the optimal solution of the problem to a certain degree.

Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

Research on inventory management and demand forecasting

With the rapid economic development and the increasing speed and scale of grid construction, material procurement and management, cost control is facing new demands and challenges.This paper proposes on innovative management and forecasting methods, from inventory management and demand forecasting perspective supplies,through these two key nodes in-depth research and analysis, this paper provides a theoretical support for the realization of effective materials management.

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

DEA Analysis of Reverse Logistics of Supply Chain Integration Project Choice

Logistics has a good relationship with the economic utility of supply chain and the sustainable development of environment. It has been the considerable link of supply chain research. This paper analyzes and appraises the effectivity of different supply chain integration projects and whether considers reverse logistics or not, by establishing DEA model of supply chain integration project that is on the basis of order and synthetically considered forward and reverse logistics, provides the growth efficiency model of input and output with preference supply chain integration project for the deci.qion.rn^le,~r

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.