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October 2026

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Call for EWGLA board
by Diego Ponce 14 Oct '26

14 Oct '26

Dear EWGLA members, As most of you might recall, the duration of service for the EWGLA Coordination Board is four years, changing one member at a time during an EWGLA meeting such that the three members are from different countries. Since Hatice was elected as board member in September 2022 (EWGLA of Aveiro), we had the agreement in the last meeting in Jerez that she completes her term of 4 years and we elect a new board member in 2026. Thus, we are looking for a volunteer to replace Hatice Çalik. According to the rules, eligible candidates are members of a EURO Society who do not work in the UK or Spain. If you are interested, please send the board (ewgla-board(a)mail.euro-online.org) a one-page document where you state and promote your candidacy until Friday, 30 October 2026. If you have any questions, please feel free to contact us. Best wishes, Diego, Hatice, and Serena www.us.es [1] Por favor considere el medio ambiente antes de imprimir este correo electrónico. - Este correo electrónico y, en su caso, cualquier fichero anexo al mismo, contiene información de carácter confidencial exclusivamente dirigida a su destinatario o destinatarios. Si no es Vd. el destinatario del mensaje, le ruego lo destruya sin hacer copia digital o física, comunicando al emisor por esta misma vía la recepción del presente mensaje. Gracias Links: ------ [1] http://www.us.es/

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Location related references Collection October 2026
by Frank Plastria 07 Oct '26

07 Oct '26

Dear fellow Locater, You will find below my collection of references for October 2026. It is subdivided into the 36 most recent references from 2023-2027 and 64 earlier ones from 2021- 2017. The attached BibTeX file contains as usual the full 100 item October collection. Enjoy, Sincerely Frank Plastria PS. It seems that I have not always been sufficiently careful with my sources and have allowed to let in a number of papers out of ‘predatory’ journals of dubious quality such as listed at https://www.predatoryjournals.org/the-list/journals. I will try to avoid such in the future. %%%%%%%%% RECENT %%%%%%%%%%%%% [1] Anna Livia Croella, Veronica Piccialli, and Antonio M. Sudoso. Strong bounds for large-scale minimum sum-of-squares clustering. European Journal of Operational Research, 336(1):280--295, 2027. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.07.045> ] [2] Lucas Fraga Damasceno, Felipe Ribeiro Mendonça, Vinicius Prestes do Nascimento, Cristiane Magarinos Sampaio, Alan David Santos, Marcelo Miguel Alves da Silva, and Uéverton dos Santos Souza. On the maximum minimal set cover problem. Information Processing Letters, 195:106661, 2027. [ DOI<http://dx.doi.org/10.1016/j.ipl.2026.106661> ] [3] Ilan Doron-Arad. A lower bound for Jaccard center. Information Processing Letters, 195:106656, 2027. [ DOI<http://dx.doi.org/10.1016/j.ipl.2026.106656> ] [4] Ling-Chieh Kung, Ting-Hsu Chen, and Yuan-Ting Lin. Approximation algorithms for multi-market competitive facility location problem with endogenous demand and diminishing marginal effect. European Journal of Operational Research, 336(1):97--110, 2027. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.05.035> ] [5] Zhiyuan Wang, Xian Guo, Yuli Zhang, and Lun Ran. Robust multistage location of battery swapping stations. European Journal of Operational Research, 336(1):179--194, 2027. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.05.044> ] [6] Shunyu Yao, Neng Fan, and Pavlo Krokhmal. Chance-constrained set multicover problem. European Journal of Operational Research, 336(1):195--207, 2027. [ DOI<http://dx.doi.org/10.1016/j.ejor.2026.07.038> ] [7] Md Tanvir Ashraf and Kakan Dey. Multiscale model for road weather information system location selection considering road weather characteristics and network topology. Transportation Research Part A: Policy and Practice, 203:104741, 2026. [ DOI<http://dx.doi.org/10.1016/j.tra.2025.104741> ] [8] Elisabeth Gaar, Sara Joosten, and Markus Sinnl. Investigating mixed‐integer programming approaches for the p‐α‐closest‐center problem. Networks, 88(3):331--353, 2026. [ DOI<http://dx.doi.org/10.1002/net.70046> ] [9] Mordecai Golin and Sai Sandeep. Minmax-regret k-sink location on a dynamic tree network with uniform capacities. Discrete Applied Mathematics, 394:321--340, 2026. [ DOI<http://dx.doi.org/10.1016/j.dam.2026.08.024> ] [10] Montree Jaidee, Zheng Sun, Sher Singh, Thi Nguyen, and Bismark Singh. Optimizing household waste recycling centre network reorganization in Hampshire. Networks, 88(3):313--330, 2026. [ DOI<http://dx.doi.org/10.1002/net.70056> ] [11] Ming-Shin Kuo. A soft computing approach of selecting locations with MCDM based on the doctrine of the mean. Expert Systems with Applications, 329:132939, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.132939> ] [12] Yuping Li, Kewei Xiang, Mingjie Li, and Xingyu Wang. The location-routing problem for UAV monitoring under time-varying noise constraints. Transportation Research Part E: Logistics and Transportation Review, 215:105113, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105113> ] [13] Minming Li, Pinyan Lu, Xingchen Sha, Yuhao Yao, and Jialin Zhang. Strategyproof mechanism for two heterogeneous facilities with constant approximation ratio. Games and Economic Behavior, 157:125--137, 2026. [ DOI<http://dx.doi.org/10.1016/j.geb.2026.01.008> ] [14] Weiyi Long, Wei Wang, and Kun Jin. A spatial knowledge-driven decision support framework for multi-objective bus corridor design: a simulation-optimization approach. Expert Systems with Applications, 329:132957, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.132957> ] [15] Jafar Mandouri, Ahmad F. Taha, Hiba Baroud, Craig Philip, Paul Johnson, Hani Mahmassani, and Pablo Durango-Cohen. An intermodal freight optimization and routing model: Balancing cost, emissions, and time in multimodal network design. Transportation Research Part C: Emerging Technologies, 192:105907, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105907> ] [16] Ahmed Mohamed, Ahmed Sonbaty, Amr Shafik, and Mahmoud Owais. Link priority index for urban road networks: a data-driven framework for continuous network design problem. Expert Systems with Applications, 331:133215, 2026. [ DOI<http://dx.doi.org/10.1016/j.eswa.2026.133215> ] [17] Ghazaleh Mohseni, Mehdi Nourinejad, and Peter Y. Park. Continuum approximation of facility locations for ridership maximization in station-based bike-sharing. Transportation Research Part C: Emerging Technologies, 192:105889, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105889> ] [18] Kai Qu, Anthony Chen, and Xiangdong Xu. A maximal covering resilient model for improving rural-urban route diversity. Transportation Research Part B: Methodological, 213:103568, 2026. [ DOI<http://dx.doi.org/10.1016/j.trb.2026.103568> ] [19] Yen-Chu Wu and Eleftheria Kontou. Equity by design in electric vehicle charging infrastructure networks. Transportation Research Part D: Transport and Environment, 160:105577, 2026. [ DOI<http://dx.doi.org/10.1016/j.trd.2026.105577> ] [20] Xu Xin, Tao Zhang, King-Wah Pang, and Shuaian Wang. Risk-averse battery swapping facility location and inventory for commercial electric vehicles: A distributionally robust approach. Transportation Research Part C: Emerging Technologies, 192:105855, 2026. [ DOI<http://dx.doi.org/10.1016/j.trc.2026.105855> ] [21] Yi Zhang, Hari Nandan Nath, and Stefan Nickel. Integrating minimum cost flow and capacitated location in global supply chains under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 215:105180, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105180> ] [22] Yueer Zhou, Yahua Zhang, Linbo Li, Kun Wang, and Xiaowen Fu. The Braess-like paradox in airline network design: Insights from two case studies. Transportation Research Part E: Logistics and Transportation Review, 215:105122, 2026. [ DOI<http://dx.doi.org/10.1016/j.tre.2026.105122> ] [23] Tanmoy Das, Floris Goerlandt, and Ronald Pelot. Multiobjective facility location model for optimizing arctic oil spill response. INFOR: Information Systems and Operational Research, 64(2):418--461, 2025. [ DOI<http://dx.doi.org/10.1080/03155986.2025.2539634> ] [24] Zvi Drezner and H. A. Eiselt. A stochastic leader-follower model in competitive facility location. INFOR: Information Systems and Operational Research, 64(2):395--417, 2025. [ DOI<http://dx.doi.org/10.1080/03155986.2025.2510171> ] [25] Panagiotis Kanellopoulos, Alexandros A. Voudouris, and Rongsen Zhang. Truthful two-facility location with candidate locations. Theoretical Computer Science, 1024:114913, 2025. [ DOI<http://dx.doi.org/10.1016/j.tcs.2024.114913> ] [26] Said S. Rahal, Amira Dems, Yossiri Adulyasak, Okan Arslan, and Jean-François Cordeau. Facility location with modular capacity under demand uncertainty: an industrial case study. INFOR: Information Systems and Operational Research, 63(4):593--623, 2025. [ DOI<http://dx.doi.org/10.1080/03155986.2025.2493994> ] [27] Ahmed Saif, Mahsa Pouraliakbari-Mamaghani, Ali Ghodratnama, and Noreen Kamal. A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity. INFOR: Information Systems and Operational Research, 64(1):1--39, 2025. [ DOI<http://dx.doi.org/10.1080/03155986.2025.2555772> ] [28] Jianli Shi, Tommaso Schettini, and Ola Jabali. Demand allocation policies for the charging station location and sizing problem. INFOR: Information Systems and Operational Research, 64(1):107--145, 2025. [ DOI<http://dx.doi.org/10.1080/03155986.2025.2561934> ] [29] Ling Gai, Mengpei Liang, and Chenhao Wang. Two-facility-location games with mixed types of agents. Applied Mathematics and Computation, 466:128479, 2024. [ DOI<http://dx.doi.org/10.1016/j.amc.2023.128479> ] [30] Mohammadmahdi Hajiha, Michel Fathi, Marzieh Khakifirooz, and Panos M. Pardalos. A robust optimization approach for designing multi-period airport hub network with uncertain capacity. Annals of Operations Research, 364(2):1929--1968, 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-06322-9> ] [31] Pooya Pourrezaie-Khaligh, Amir Ardestani-Jaafari, and Babak Mohamadpour Tosarkani. Home health care facility location problem under demand uncertainty. INFOR: Information Systems and Operational Research, 62(3):344--376, 2024. [ DOI<http://dx.doi.org/10.1080/03155986.2023.2286889> ] [32] Rohit Sindhwani, Jayanth Jayaram, and Dmitry Ivanov. Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity. Annals of Operations Research, 364(1):853--907, 2024. [ DOI<http://dx.doi.org/10.1007/s10479-024-05858-0> ] [33] Xiaoyu Wu, Lili Mei, and Guochuan Zhang. Two homogeneous facility location games with a minimum distance requirement on a circle. Theoretical Computer Science, 991:114398, 2024. [ DOI<http://dx.doi.org/10.1016/j.tcs.2024.114398> ] [34] Panagiotis Kanellopoulos, Alexandros A. Voudouris, and Rongsen Zhang. On discrete truthful heterogeneous two-facility location. SIAM Journal on Discrete Mathematics, 37(2):779--799, 2023. [ DOI<http://dx.doi.org/10.1137/22m149908x> ] [35] Dalibor Ristic, Dragan Urosevic, Nenad Mladenovic, and Raca Todosijevic. Solving the p-second center problem with variable neighborhood search. Computer Science and Information Systems, 20(1):95--115, 2023. [ DOI<http://dx.doi.org/10.2298/csis210804049r> ] [36] İbrahim Yılmaz, Eren Özceylan, and Beata Mrugalska. A framework for evaluating electrical vehicle charging station location decisions in a spherical fuzzy environment: a case of shopping malls. Annals of Operations Research, 364(1):827--851, 2023. [ DOI<http://dx.doi.org/10.1007/s10479-023-05772-x> ] %%%%%%%%% OLDER %%%%%%%%%%%%% [1] Mariana A. Londe, Carlos E. Andrade, and Luciana S. Pessoa. An evolutionary approach for the p-next center problem. Expert Systems with Applications, 175:114728, 2021. [ DOI<http://dx.doi.org/10.1016/j.eswa.2021.114728> ] [2] Ahmed Saif, Ali Keyvandarian, and Samir Elhedhli. A new Lagrangian-Benders approach for a concave cost supply chain network design problem. INFOR: Information Systems and Operational Research, 59(3):495--516, 2021. [ DOI<http://dx.doi.org/10.1080/03155986.2021.1923978> ] [3] Zvi Drezner. Taking advantage of symmetry in some quadratic assignment problems. INFOR: Information Systems and Operational Research, 57(4):623--641, 2019. [ DOI<http://dx.doi.org/10.1080/03155986.2019.1607809> ] [4] Amin Akbari, H. A. Eiselt, and Ronald Pelot. A maritime search and rescue location analysis considering multiple criteria, with simulated demand. INFOR: Information Systems and Operational Research, 56(1):92--114, 2017. [ DOI<http://dx.doi.org/10.1080/03155986.2017.1334322> ] [5] Kayse Lee Maass and Mark S. Daskin. A cyclic allocation model for the inventory-modulated capacitated location problem. INFOR: Information Systems and Operational Research, 55(4):312--338, 2017. [ DOI<http://dx.doi.org/10.1080/03155986.2017.1290425> ] [6] Mingyao Qi, Mingfei Xia, Ying Zhang, and Lixin Miao. Competitive facility location problem with foresight considering service distance limitations. Computers & Industrial Engineering, 112:483--491, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.024> ] [7] Md Abdul Quddus, Niamat Ullah Ibne Hossain, Marufuzzaman Mohammad, Raed M. Jaradat, and Mohammad S. Roni. Sustainable network design for multi-purpose pellet processing depots under biomass supply uncertainty. Computers & Industrial Engineering, 110:462--483, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.06.001> ] [8] Reza Ramezanian and Zahra Behboodi. Blood supply chain network design under uncertainties in supply and demand considering social aspects. Transportation Research Part E: Logistics and Transportation Review, 104:69--82, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.06.004> ] [9] Fatemeh RanjbarTezenji, Mohammad Mohammadi, and Seyed Hamid Reza Pasandideh. Bi-objective location-allocation-inventory-network design in a two-echelon supply chain using de novo programming, NSGA-II and NRGA. International Journal of Logistics Systems and Management, 28(3):308, 2017. [ DOI<http://dx.doi.org/10.1504/ijlsm.2017.086945> ] [10] Eghbal Rashidi, Hugh Medal, Jason Gordon, Robert Grala, and Morgan Varner. A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: Assessing the worst-case scenario. European Journal of Operational Research, 258(3):1095--1105, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.08.074> ] [11] Damián Reyes, Martin Savelsbergh, and Alejandro Toriello. Vehicle routing with roaming delivery locations. Transportation Research Part C: Emerging Technologies, 80:71--91, 2017. [ DOI<http://dx.doi.org/10.1016/j.trc.2017.04.003> ] [12] Marcos Costa Roboredo, Luiz Aizemberg, and Artur Alves Pessoa. An exact approach for the r-interdiction covering problem with fortification. Central European Journal of Operations Research, 27(1):111--131, 2017. [ DOI<http://dx.doi.org/10.1007/s10100-017-0494-7> ] [13] Mohammad Rohaninejad, Hamidreza Navidi, Behdin Vahedi Nouri, and Reza Kamranrad. A new approach to cooperative competition in facility location problems: Mathematical formulations and an approximation algorithm. Computers & Operations Research, 83:45--53, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.02.003> ] [14] Anthony Ross, Milad Khajehnezhad, Wilkistar Otieno, and Osman Aydas. Integrated location-inventory modelling under forward and reverse product flows in the used merchandise retail sector: A multi-echelon formulation. European Journal of Operational Research, 259(2):664--676, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.10.036> ] [15] Mohammad Rostami and Morteza Bagherpour. A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. Operational Research, 20(2):857--897, 2017. [ DOI<http://dx.doi.org/10.1007/s12351-017-0358-x> ] [16] Somayeh Sadeghi, Abbas Seifi, and Elnaz Azizi. Trilevel shortest path network interdiction with partial fortification. Computers & Industrial Engineering, 106:400--411, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.02.006> ] [17] Jesús Sáez-Aguado and Paula Camelia Trandafir. Variants of the ε-constraint method for biobjective integer programming problems: application to p-median-cover problems. Mathematical Methods of Operations Research, 87(2):251--283, 2017. [ DOI<http://dx.doi.org/10.1007/s00186-017-0618-9> ] [18] Faraz Salehi, Masoud Mahootchi, and Seyed Mohammad Moattar Husseini. Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran. Annals of Operations Research, 283(1–2):679--703, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2533-0> ] [19] David Sayah and Stefan Irnich. A new compact formulation for the discrete p-dispersion problem. European Journal of Operational Research, 256(1):62--67, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.06.036> ] [20] Hamid R. Sayarshad and Joseph Y.J. Chow. Non-myopic relocation of idle mobility-on-demand vehicles as a dynamic location-allocation-queueing problem. Transportation Research Part E: Logistics and Transportation Review, 106:60--77, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.08.003> ] [21] Maximilian Schiffer and Grit Walther. The electric location routing problem with time windows and partial recharging. European Journal of Operational Research, 260(3):995--1013, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.01.011> ] [22] Loe Schlicher, Marco Slikker, and Geert-Jan van Houtum. A note on maximal covering location games. Operations Research Letters, 45(1):98--103, 2017. [ DOI<http://dx.doi.org/10.1016/j.orl.2016.12.006> ] [23] Michael Schneider and Michael Drexl. A survey of the standard location-routing problem. Annals of Operations Research, 259(1–2):389--414, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2509-0> ] [24] Matías Schuster Puga and Jean-Sébastien Tancrez. A heuristic algorithm for solving large location–inventory problems with demand uncertainty. European Journal of Operational Research, 259(2):413--423, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2016.10.037> ] [25] Nafiseh Sedghi, Hassan Shavandi, and Hossein Abouee-Mehrizi. Joint pricing and location decisions in a heterogeneous market. European Journal of Operational Research, 261(1):234--246, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.01.055> ] [26] Wenxuan Shan, Qianqian Yan, Chao Chen, Mengjie Zhang, Baozhen Yao, and Xuemei Fu. Optimization of competitive facility location for chain stores. Annals of Operations Research, 273(1–2):187--205, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2579-z> ] [27] Bhuvnesh Sharma, M. Ramkumar, Nachiappan Subramanian, and Bharat Malhotra. Dynamic temporary blood facility location-allocation during and post-disaster periods. Annals of Operations Research, 283(1–2):705--736, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2680-3> ] [28] Marcos Roberto Silva and Claudio B. Cunha. A tabu search heuristic for the uncapacitated single allocation p-hub maximal covering problem. European Journal of Operational Research, 262(3):954--965, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.03.066> ] [29] Sandra Silva, Luís Alçada-Almeida, and Luís C. Dias. Multiobjective programming for sizing and locating biogas plants: A model and an application in a region of Portugal. Computers & Operations Research, 83:189--198, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.02.016> ] [30] Hamed Soleimani, Kannan Govindan, Hamid Saghafi, and Hamid Jafari. Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers & Industrial Engineering, 109:191--203, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.038> ] [31] Ziqi Song, Yi He, and Lihui Zhang. Integrated planning of park-and-ride facilities and transit service. Transportation Research Part C: Emerging Technologies, 74:182--195, 2017. [ DOI<http://dx.doi.org/10.1016/j.trc.2016.11.017> ] [32] Pedro José Steiner Neto, Dilip Datta, Maria Teresinha Arns Steiner, Osíris Canciglieri Júnior, José Rui Figueira, Silvana Pereira Detro, and Cassius Tadeu Scarpin. A multi-objective genetic algorithm based approach for location of grain silos in Paraná state of Brazil. Computers & Industrial Engineering, 111:381--390, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.07.019> ] [33] Rafael Suárez-Vega, José Luis Gutiérrez-Acuña, and Manuel Rodríguez-Díaz. Locating a shopping centre by considering demand disaggregated by categories. IMA Journal of Management Mathematics, 29(4):435--456, 2017. [ DOI<http://dx.doi.org/10.1093/imaman/dpx006> ] [34] Srinivasagan N. Subhashree, C. Igathinathane, Ganesh C. Bora, David Ripplinger, and Leslie Backer. Optimized location of biomass bales stack for efficient logistics. Biomass and Bioenergy, 96:130--141, 2017. [ DOI<http://dx.doi.org/10.1016/j.biombioe.2016.11.007> ] [35] El-Ghazali Talbi and Raca Todosijević. The robust uncapacitated multiple allocation p-hub median problem. Computers & Industrial Engineering, 110:322--332, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.06.017> ] [36] Moayad Tanash, Ivan Contreras, and Navneet Vidyarthi. An exact algorithm for the modular hub location problem with single assignments. Computers & Operations Research, 85:32--44, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2017.03.006> ] [37] Masoumeh Taslimi, Rajan Batta, and Changhyun Kwon. A comprehensive modeling framework for hazmat network design, hazmat response team location, and equity of risk. Computers & Operations Research, 79:119--130, 2017. [ DOI<http://dx.doi.org/10.1016/j.cor.2016.10.005> ] [38] Collins Teye, Michael G H Bell, and Michiel C J Bliemer. Urban intermodal terminals: The entropy maximising facility location problem. Transportation Research Part B: Methodological, 100:64--81, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.01.014> ] [39] Collins Teye, Michael G.H. Bell, and Michiel C.J. Bliemer. Entropy maximising facility location model for port city intermodal terminals. Transportation Research Part E: Logistics and Transportation Review, 100:1--16, 2017. [ DOI<http://dx.doi.org/10.1016/j.tre.2017.01.006> ] [40] Rafael Tordecilla-Madera, Andrés Polo, Dairo Muñoz, and Leonardo González-Rodríguez. A robust design for a Colombian dairy cooperative’s milk storage and refrigeration logistics system using binary programming. International Journal of Production Economics, 183:710--720, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2016.09.019> ] [41] Eliana M. Toro, John F. Franco, Mauricio Granada Echeverri, and Frederico Gadelha Guimarães. A multi-objective model for the green capacitated location-routing problem considering environmental impact. Computers & Industrial Engineering, 110:114--125, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.05.013> ] [42] Trung Hieu Tran, Maria Paola Scaparra, and Jesse R. O’Hanley. A hypergraph multi-exchange heuristic for the single-source capacitated facility location problem. European Journal of Operational Research, 263(1):173--187, 2017. [ DOI<http://dx.doi.org/10.1016/j.ejor.2017.04.032> ] [43] Fabien Tricoire and Sophie N. Parragh. Investing in logistics facilities today to reduce routing emissions tomorrow. Transportation Research Part B: Methodological, 103:56--67, 2017. [ DOI<http://dx.doi.org/10.1016/j.trb.2017.03.006> ] [44] Yu-Chung Tsao, Vu-Thuy Linh, and Jye-Chyi Lu. Closed-loop supply chain network designs considering RFID adoption. Computers & Industrial Engineering, 113:716--726, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2016.09.016> ] [45] Jesus Garcia-Diaz, Rolando Menchaca-Mendez, Ricardo Menchaca-Mendez, Saul Pomares Hernandez, Julio Cesar Perez-Sansalvador, and Noureddine Lakouari. Approximation algorithms for the vertex k-center problem: Survey and experimental evaluation. IEEE Access, 7:109228--109245, 2019. [ DOI<http://dx.doi.org/10.1109/access.2019.2933875> ] [46] Zacharie Ales and Sourour Elloumi. Compact MILP formulations for the p-center problem. In Jon Lee, Giovanni Rinaldi, and A. Ridha Mahjoub, editors, Combinatorial Optimization, 5th International Symposium, ISCO 2018, Marrakesh, Morocco, April 11–13, 2018, Revised Selected Papers, pages 14--25. Springer International Publishing, 2018. [ DOI<http://dx.doi.org/10.1007/978-3-319-96151-4_2> ] [47] Nazli Turken, Janice Carrillo, and Vedat Verter. Facility location and capacity acquisition under carbon tax and emissions limits: To centralize or to decentralize? International Journal of Production Economics, 187:126--141, 2017. [ DOI<http://dx.doi.org/10.1016/j.ijpe.2017.02.010> ] [48] Renata Turkeš, Daniel Palhazi Cuervo, and Kenneth Sörensen. Pre-positioning of emergency supplies: does putting a price on human life help to save lives? Annals of Operations Research, 283(1–2):865--895, 2017. [ DOI<http://dx.doi.org/10.1007/s10479-017-2702-1> ] [49] Tomoyuki Urata, Tetsuo Yamada, Norihiro Itsubo, and Masato Inoue. Global supply chain network design and asian analysis with material-based carbon emissions and tax. Computers & Industrial Engineering, 113:779--792, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.07.032> ] [50] Halit Üster and Jyotirmoy Dalal. Strategic emergency preparedness network design integrating supply and demand sides in a multi-objective approach. IISE Transactions, 49(4):395--413, 2017. [ DOI<http://dx.doi.org/10.1080/0740817x.2016.1234731> ] [51] Behnam Vahdani, M. Soltani, M. Yazdani, and S. Meysam Mousavi. A three level joint location-inventory problem with correlated demand, shortages and periodic review system: Robust meta-heuristics. Computers & Industrial Engineering, 109:113--129, 2017. [ DOI<http://dx.doi.org/10.1016/j.cie.2017.04.041> ] [52] Pieter L. van den Berg, Guido A. G. Legemaate, and Rob D. van der Mei. Increasing the responsiveness of firefighter services by relocating base stations in Amsterdam. Interfaces, 47(4):352--361, 2017. [ DOI<http://dx.doi.org/10.1287/inte.2017.0897> ] [53] Prahalad Venkateshan, Ronald H. 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