MODELING AND ROBUST DESIGN OF REMANUFACTURING LOGISTICS NETWORKS BASED ON DESIGN OF EXPERIMENT

The uncertainty of time, quantity and quality of recycling products leads tothe bad stability and flexibility of remanufacturing logistics networks, and general design onlycovered the minimizing logistics cost, thus, robust design is presented here to solve theuncertainty. The mathematical model of remanufacturing logistics networks is built based onstochastic distribution of uncontrollable factors, and robust objectives are presented. Theintegration of mathematical simulation and design of experiment method is performed to do sensitiveanalysis. The influence of each factor and level on the system is investigated, and the main factorsand optimum combination are studied. The numbers of factors, level of each factor and designprocess of experiment are investigated as well. Finally, the process of robust design based ondesign of experiment is demonstrated by a detailed example.

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.

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.

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.

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.

Research on Technological Process Control Model of Reverse Logistics in Manufacturing System

This paper has found out some important input factors of reverse logistics in manufacturing system throuth analysis and summary,and established four kinds of technological process control models of reverse logistics in manufacturing system according to different processing methods. These models embed each other that form a cubic control system of reverse logistics.

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 lot-size process and the nonzero lead time of manufacturing/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.

Exploration on the Development of Waste Household Appliance Reverse Logistics

China is not only the largest producer of electrical and electronic products, but also a big consumer. Over a long time, many products have reached the peak of being abandoned, with the increasingly awareness of environmental protection, developing an efficient recycling logistics system can not be delayed. It mainly leads to the concept of reverse logistics through analyzing the current situation of waste household appliances,and puts forward several suggestions for the current status and future development of reverse logistics.

A Review on Strategic, Tactical and Operational Decision Planning in Reverse Logistics of Green Supply Chain Network Design

The environmental impact has been a critical issue in supply chain network research. Handling it efficiently will help the firm reduce pollution and save cost. In order to improve the environmental effect on this supply chain network, recovery activity becomes a significant part in the reverse logistics network, due to complexity and heterogeneity. In a reverse logistics network, there are many decision problems to be taken into consideration such as facility location, capacity allocation, production planning and vehicle routing. Each of these problems can be categorized into three types of decision planning: strategic, tactical or operational, based on the time planning horizon. In this paper, we review the literature of supply chain network in an effort to achieve green through implementing reverse logistic practices, and classify the defined problems by the group of decision planning. In general, most of the literatures are focused on the strategic and tactical decision planning, only a few are operational-based. The objective of this paper is to analyze the decision planning being done in this area of research and provide future insights on how to design the reverse logistics network with different decision planning which will reflect the real life scenario.

Modeling of Robust Design of Remanufacturing Logistics Networks

The uncertainty of time, quantity and quality of recycling products leads to the bad stability and flexibility of remanufacturing logistics networks, while general design only covers the minimizing logistics cost, so robust design is presented to solve it. The mathematical model of remanufacturing logistics networks is built on the stochastic distribution of uncontrollable factors, and robust objectives are presented. The basic elements of robust design of remanufacturing logistics are redefined, and each part of mathematical model is explained in detail as well. Robust design of remanufacturing logistics networks is a problem of multi-objective optimization in essence.

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.

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.

Production Planning of a Failure-Prone Manufacturing/Remanufacturing System with Production-Dependent Failure Rates

This paper deals with the production-dependent failure rates for a hybrid manufacturing/remanufacturing system subject to random failures and repairs. The failure rate of the manufacturing machine depends on its production rate, while the failure rate of the remanufacturing machine is constant. In the proposed model, the manufacturing machine is characterized by a higher production rate. The machines produce one type of final product and unmet demand is backlogged. At the expected end of their usage, products are collected from the market and kept in recoverable inventory for future remanufacturing, or disposed of. The objective of the system is to find the production rates of the manufacturing and the remanufacturing machines that would minimize a discounted overall cost consisting of serviceable inventory cost, backlog cost and holding cost for returns. A computational algorithm, based on numerical methods, is used for solving the optimality conditions obtained from the application of the stochastic dynamic programming approach. Finally, a numerical example and sensitivity analyses are presented to illustrate the usefulness of the proposed approach. Our results clearly show that the optimal control policy of the system is obtained when the failure rates of the machine depend on its production rate.

Research on Remanufacturing 4PL Netw ork Optimization under Uncertain Customer Demand

Considering different customer demand in 4PL logistics remanufacturing process,using interval described the uncertain customer demand,a multi-objective remanufacturing4PL LRP integer programming model is established.Lingo 10 is to solve the model combining with specific examples.The design of the numerical example results verifies the effectiveness of the model and method.

Pricing and production strategies in remanufacturing from the perspectives of supply chain: Review and future directions

Remanufacturing is widely recognized as beneficial to the environment and a circular economy. However, remanufacturing is more complex than traditional manufacturing due to the effects of government policy, uncertainty of consumer preferences, competition and cooperation among firms, and so on. These factors motivate academics to optimize remanufacturing outcomes, especially for product pricing and production. This study reviews the published literature on pricing and production strategies in remanufacturing from four perspectives of supply chain, namely, government policy, consumer characteristics, relationships among firms, and supply chain structures. Review results can benefit scholars/practitioners in the future by highlighting the challenges and opportunities in remanufacturing strategies.