<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v5i3.3881</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Designing a Reverse Logistics Network Model for Waste Batteries</title><url>https://artdesignp.com/journal/PBES/5/3/10.26689/pbes.v5i3.3881</url><author>WangBin,HaoHao,LiHehuang</author><pub-date pub-type="publication-year"><year>2022</year></pub-date><volume>5</volume><issue>3</issue><history><date date-type="pub"><published-time>2022-06-20</published-time></date></history><abstract>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.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Li J, Du G, Yin J, 2020, Current Situation and Economic Analysis of Waste Battery Recycling Industry. CIESC Journal, 71(S1): 494–500. http://hgxb.cip.com.cn/CN/10.11949/0438-1157.20191585</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Lin L, Dababneh F, Zhao J, 2018, Cost-Effective Supply Chain for Electric Vehicle Battery Remanufacturing. Applied Energy, 226: 277–286. https://doi.org/10.1016/j.apenergy.2018.05.115</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Lee DH, Dong M, 2009, Dynamic Network Design for Reverse Logistics Operations Under Uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45(1): 61–71. https://doi.org/10.1016/j.tre.2008.08.002</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Liu J, Guo Y, 2021, Design of Reverse Logistics Network for Electric Vehicle Power Batter Considering Uncertainty. Journal of Shanghai Maritime University, 42(2): 96–102.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Devika K, Jafarian A, Nourbakhsh V, 2014, Designing a Sustainable Closed-Loop Supply Chain Network Based on Triple Bottom Line Approach: A Comparison of Metaheuristics Hybridization Techniques. Eur J Oper Res, 235(3): 594–615. http://dx.doi.org/10.1016/j.ejor.2013.12.032</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Kaya O, Bagci F, Turkay M, 2014, Planning of Capacity, Production and Inventory Decisions in a Generic Reverse Supply Chain Under Uncertain Demand and Returns. Int J Prod Res, 52(1): 270–282. https://doi.org/10.1080/00207543.2013.838330</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Hasani A, Zegordi SH, Nikbakhsh E, 2015, Robust Closed-Loop Global Supply Chain Network Design Under Uncertainty: The Case of the Medical Device Industry. Int J Prod Res, 53(5): 1596–1624. https://doi.org/10.1080/00207543.2014.965349</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Lee J-E, Chung K-Y, Lee K-D, et al., 2015, A Multi-Objective Hybrid Genetic Algorithm to Minimize the Total Cost and Delivery Tardiness in a Reverse Logistics. Multimed Tools Appl, 74(20): 9067–9085. https://doi.org/10.1007/s11042-013-1594-6</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Kang K, Wang X, Ma YA, 2017, Collection-Distribution Center Location and Allocation Optimization Model in Closed-Loop Supply Chain for Chinese Beer Industry. Math Problem Eng, 2017: 7863202. https://doi.org/10.1155/2017/7863202</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Chen Y-W, Wang L-C, Wang A, et al., 2017, A Particle Swarm Approach for Optimizing a Multi-Stage Closed Loop Supply Chain for the Solar Cell Industry. Robot Comput Integr Manuf, 43: 111–123. https://doi.org/10.1016/j.rcim.2015.10.006</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Krikke H, Bloemhof-Ruwaard J, Van Wassenhove LN, 2003, Concurrent Product and Closed-Loop Supply Chain Design with an Application to Refrigerators. Int J Prod Res, 41(16): 3689–3719. https://doi.org/10.1080/0020754031000120087</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Srivastava SK, 2006, Network Design for Reverse Logistics. Omega, 36(4): 535–548. https://doi.org/10.1016/j.omega.2006.11.012</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Li S, Wang N, Jia T, et al., 2016, Multiobjective Optimization for Multiperiod Reverse Logistics Network Design. IEEE Trans Eng Manag, 63(2): 223–236.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Soleimani H, Seyyed-Esfahani M, Shirazi MA, 2016, A New Multi-Criteria Scenario Based Solution Approach for Stochastic Forward/Reverse Supply Chain Network Design. Ann Oper Res, 242(2): 399–421. https://doi.org/10.1007/s10479-013-1435-z</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Zohal M, Soleimani H, 2016, Developing an Ant Colony Approach for Green Closed Loop Supply Chain Network Design: A Case Study in Gold Industry. J Clean Prod, 133: 314–337. https://doi.org/10.1016/j.jclepro.2016.05.091</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Hamidieh A, Naderi B, Mohammadi M, et al., 2017, A Robust Possibilistic Programming Model for a Responsive Closed Loop Supply Chain Network Design. Cogent Math, 4(1): 1329886. https://doi.org/10.1080/23311835.2017.1329886</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Phuc PNK, Yu VF, Tsao Y-C, 2017, Optimizing Fuzzy Reverse Supply Chain for End-of-Life Vehicles. Comput Ind Eng, 113: 757–765. https://doi.org/10.1016/j.cie.2016.11.007</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B18" content-type="article"><label>18</label><element-citation publication-type="journal"><p>Dat LQ, Linh DTT, Chou SY, et al., 2012, Optimizing Reverse Logistic Costs for Recycling End-of-Life Electrical and Electronic Products. Expert Syst Appl, 39(7): 6380–6387. https://doi.org/10.1016/j.eswa.2011.12.031</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B19" content-type="article"><label>19</label><element-citation publication-type="journal"><p>Alumur SA, Tari I, 2014, Collection Center Location with Equity Considerations in Reverse Logistics Networks. INFOR, 52(4): 157–173. https://doi.org/10.3138/infor.52.4.157</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B20" content-type="article"><label>20</label><element-citation publication-type="journal"><p>Chen W, Kucukyazici B, Verter V, et al., 2015, Supply Chain Design for Unlocking the Value of Re-Manufacturing Under Uncertainty. Eur J Oper Res, 247(3): 804–819. https://doi.org/10.1016/j.ejor.2015.06.062</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B21" content-type="article"><label>21</label><element-citation publication-type="journal"><p>Amin SH, Baki F, 2017, A Facility Location Model for Global Closed-Loop Supply Chain Network Design. Appl Math Model, 41: 316–330. https://doi.org/10.1016/j.apm.2016.08.030</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
