scholarly journals Robust facility location in reverse logistics

2021 ◽  
Author(s):  
Péter Egri ◽  
Balázs Dávid ◽  
Tamás Kis ◽  
Miklós Krész
Keyword(s):  
Facility Location ◽  
Reverse Logistics ◽  
Economies Of Scale ◽  
Real Life ◽  
Facility Location Problem ◽  
Bilevel Optimization ◽  
Logistics Network ◽  
Final Destination ◽  
Novel Approach ◽  
Tabu Search Method

AbstractAs environmental awareness is becoming increasingly important, alternatives are needed for the traditional forward product flows of supply chains. The field of reverse logistics covers activities that aim to recover resources from their final destination, and acts as the foundation of the efficient backward flow of these materials. Designing the appropriate reverse logistics network for a given field is a crucial problem, as this provides the basis for all operations connected to the resource flow. This paper focuses on design questions in the supply network of waste wood, dealing with its collection and transportation to designated processing facilities. The facility location problem is studied for this use-case, and mathematical models are developed that consider economies of scale and the robustness of the problem. A novel approach based on bilevel optimization is used for computing the exact solutions of the robust problem on smaller instances. A local search and a tabu search method is also introduced for solving problems of realistic sizes. The developed models and methods are tested both on real-life and artificial instance sets in order to assess their performance.

scholarly journals Reverse Logistics Location Based on Energy Consumption: Modeling and Multi-Objective Optimization Method

2021 ◽  
Vol 11 (14) ◽  
pp. 6466
Author(s):  
Lijun Chang ◽  
Honghao Zhang ◽  
Guoquan Xie ◽  
Zhenzhong Yu ◽  
Menghao Zhang ◽  
...  
Keyword(s):  
Facility Location ◽  
Carbon Emissions ◽  
Optimization Algorithm ◽  
Reverse Logistics ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Low Carbon Economy ◽  
Logistics Network ◽  
Multi Objective ◽  
Carbon Economy

The low-carbon economy, as a major trend of global economic development, has been a widespread concern, which is a rare opportunity to realize the transformation of the economic way in China. The realization of a low-carbon economy requires improved resource utilization efficiency and reduced carbon emissions. The reasonable location of logistics nodes is of great significance in the optimization of a logistics network. This study formulates a double objective function optimization model of reverse logistics facility location considering the balance between the functional objectives of the carbon emissions and the benefits. A hybrid multi-objective optimization algorithm that combines a gravitation algorithm and a particle swarm optimization algorithm is proposed to solve this reverse logistics facility location model. The mobile phone recycling logistics network in Jilin Province is applied as the case study to verify the feasibility of the proposed reverse logistics facility location model and solution method. Analysis and discussion are conducted to monitor the robustness of the results. The results prove that this approach provides an effective tool to solve the multi-objective optimization problem of reverse logistics location.

scholarly journals Mathematical Model and Stochastic Multi-Criteria Acceptability Analysis for Facility Location Problem

2016 ◽  
Vol 28 (3) ◽  
pp. 245-256 ◽  
Author(s):  
Selahattin Karabay ◽  
Erkan Köse ◽  
Mehmet Kabak ◽  
Eren Ozceylan
Keyword(s):  
Mathematical Programming ◽  
Facility Location ◽  
Location Problem ◽  
Programming Model ◽  
Real Life ◽  
Facility Location Problem ◽  
Mixed Integer ◽  
Mathematical Programming Model ◽  
General Management ◽  
New Facilities

This paper studies a real-life public sector facility location problem. The problem fundamentally originated from the idea of downsizing the number of service centres. However, opening of new facilities is also considered in case the current facilities fail to fulfil general management demands. Two operation research methodologies are used to solve the problem and the obtained results are compared. First, a mathematical programming model is introduced to determine where the new facilities will be located, and which districts get service from which facilities, as if there were currently no existing facilities. Second, the Stochastic Multi-criteria Acceptability Analysis-TRI (SMAA-TRI) method is used to select the best suitable places for service centres among the existing facilities. It is noted that the application of mathematical programming model and SMAA-TRI integration approach on facility location problem is the first study in literature. Compression of outcomes shows that mixed integer linear programming (MILP) model tries to open facilities in districts which are favoured by SMAA-TRI 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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