scholarly journals How to Effectively Improve Pesticide Waste Governance: A Perspective of Reverse Logistics

2018 ◽  
Vol 10 (10) ◽  
pp. 3622 ◽  
Author(s):  
Zhichao Li ◽  
Jilin Huang
Keyword(s):  
Network Model ◽  
Reverse Logistics ◽  
Empirical Studies ◽  
Modern Science ◽  
Flow Distribution ◽  
Network Models ◽  
Mixed Integer ◽  
Treatment Center ◽  
Logistics Network ◽  
Reverse Logistics Network

With the development of modern science and technology, agricultural production and quality have made major breakthroughs, followed by more and more pesticide waste. Pesticide waste refers to the packaging of pesticide residues. Pesticide waste will cause great damage to soil, water and human health, seriously affecting the ecological sustainability. Most of the existing literature is theoretical articles, and few empirical studies are provided on how to improve pesticide waste management. In this paper, a set of reverse logistics network models of pesticide wastes is constructed, and the framework of reverse logistics is used to realize the efficient recovery and treatment of pesticide wastes. The problem of how to collect pesticide wastes and how to optimize the location and flow allocation of facilities such as recycling center and treatment center was solved. The weights of the factors affecting the reverse logistics network model are determined by using the network analytic hierarchy process. Under the conditions of minimizing the cost and minimizing the negative externality, the mixed integer model programming method is used to make the optimal location decision and flow distribution. Finally, taking the JT area of China as an example, the results of the reverse logistics network model of pesticide wastes are demonstrated. The results show that the scheme is feasible.

scholarly journals Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty

2017 ◽  
Author(s):  
Vahab Vahdat ◽  
Mohammad Ali vahdatzad
Keyword(s):  
Network Design ◽  
Reverse Logistics ◽  
Valid Inequalities ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Master Problem ◽  
Test Problems ◽  
Distribution Centers ◽  
Logistics Network ◽  
Reverse Logistics Network

In this paper, a two-stage stochastic programming modelling is proposed to design a multi-period, multistage, and single-commodity integrated forward/reverse logistics network design problem under uncertainty. The problem involves both strategic and tactical decision levels. The first stage deals with strategic decisions, which are the number, capacity, and location of forward and reverse facilities. At the second stage tactical decisions such as base stock level as an inventory policy is determined. The generic introduced model consists of suppliers, manufactures, and distribution centers in forward logistic and collection centers, remanufactures, redistribution, and disposal centers in reverse logistic. The strength of proposed model is its applicability to various industries. The problem is formulated as a mixed-integer linear programming model and is solved by using Benders’ Decomposition (BD) approach. In order to accelerate the Benders’ decomposition, a number of valid inequalities are added to the master problem. The proposed accelerated BD is evaluated through small-, medium-, and large-sized test problems. Numerical results reveal that proposed solution algorithm increases convergence of lower bound and upper bound of BD and is able to reach an acceptable optimality gap in a convenient CPU time.

scholarly journals Reverse Logistics Network Optimizing by Genetic Algorithm: A Case Study of Automotive Wiring Harnesses

2014 ◽  
Vol 564 ◽  
pp. 740-746 ◽  
Author(s):  
Abdolhossein Sadrnia ◽  
N. Ismail ◽  
M.K.A.M. Ariffin ◽  
Zulkifli Norzima ◽  
Omid Boyer
Keyword(s):  
Genetic Algorithm ◽  
Reverse Logistics ◽  
Programming Model ◽  
Mixed Integer ◽  
Profit Model ◽  
Logistics Network ◽  
Wiring Harness ◽  
Reverse Logistics Network ◽  
Optimum Solution

The shortage of material and environmental legislations have encouraged car manufacturers to recycle used material in end of life vehicles (ELVs), reverse logistics are essential to the concerns of the automotive supply chain. In this research, a profit model multi-echelon reverse logistics network including collection center, shredder center and recycling center is developed to recycle automotive parts. The work was continued by illustrating empirical application in wiring harness manufacturer that would like to recycle wire harnesses and extract copper. With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. The results emphasize the efficiency of the modeling and solving method so that in the case study the company gained more than 27 thousand dollars through the establishment of reverse logistics for recycling copper.

scholarly journals Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

2020 ◽  
Vol 17 (5) ◽  
pp. 1770 ◽  
Author(s):  
Hao Yu ◽  
Xu Sun ◽  
Wei Deng Solvang ◽  
Xu Zhao
Keyword(s):  
Network Design ◽  
Reverse Logistics ◽  
Medical Waste ◽  
Mixed Integer ◽  
Effective Management ◽  
Human Beings ◽  
Epidemic Disease ◽  
Logistics Network ◽  
Short Period ◽  
Reverse Logistics Network

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

Reverse Logistics Network Design for the Collection of End-of-Life Vehicles

2012 ◽  
Author(s):  
Hang Dai ◽  
Qing Wang
Keyword(s):  
Network Design ◽  
End Of Life ◽  
Facility Location ◽  
Reverse Logistics ◽  
Location Problem ◽  
Strategic Decision ◽  
Mixed Integer ◽  
Logistics Network ◽  
Reverse Logistics Network ◽  
Reverse Logistic

Reverse logistic network design problems involve strategic decisions which influence tactical and operational decisions. In particular, they involve facility location, transportation and inventory decisions, which affect the cost of the distribution system and the quality of the customer service level. Locating a collection centre is an important strategic decision, as purchasing or building facilities requires sizable investment; also the network transportation cost is affected by the selection of facility locations. The location that is selected must therefore take into account all the parameters and variables that are relevant and the decision may even affect demand. In this paper, network design for reverse logistics is investigated to solve the End-of-life Vehicles (ELV) collection centres location problem. We start by giving an understanding of the process of this reverse logistics network design by considering the features of reverse logistics, the role of ELV management and use of optimization methods. Based on this, a reverse logistics network design case for collection of End-of-life Vehicles is presented by formulating the problem into a mixed-integer linear program (MILP), taking into consideration the Capacitated Facility Location Problem. The solution to this model is obtained using IBM CPLEX Optimization Studio©. In addition the applicability of the model in other reverse logistic networks is discussed and the subjects for further research are pointed out.

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