Academic literature on the topic 'Facility Location Optimisation Problem'
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Journal articles on the topic "Facility Location Optimisation Problem"
Lagos, Carolina, Broderick Crawford, Enrique Cabrera, Ricardo Soto, José-Miguel Rubio, and Fernando Paredes. "Comparing Evolutionary Strategies on a Biobjective Cultural Algorithm." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/745921.
Full textCabrera-Guerrero, Guillermo, Carolina Lagos, Carolina Castañeda, Franklin Johnson, Fernando Paredes, and Enrique Cabrera. "Parameter Tuning for Local-Search-Based Matheuristic Methods." Complexity 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/1702506.
Full textJin, Zhongyi, Kam K. H. Ng, Chenliang Zhang, Wei Liu, Fangni Zhang, and Gangyan Xu. "A risk-averse distributionally robust optimisation approach for drone-supported relief facility location problem." Transportation Research Part E: Logistics and Transportation Review 186 (June 2024): 103538. http://dx.doi.org/10.1016/j.tre.2024.103538.
Full textJin, Zhiyang, Yang Li, Guohua Fu, Kunhao Dai, Na Qiu, Jinyi Liu, Mao Lin, and Zhennan Qin. "Capacitated Facility Location and Allocation with Uncertain Demand for Tourism Logistics: A Multiobjective Optimisation Approach." Mathematical Problems in Engineering 2019 (June 23, 2019): 1–18. http://dx.doi.org/10.1155/2019/4158940.
Full textOu-Yang, Chao, Taufiq Budi Hanyata, and T. M. A. Ari Samadhi. "Hybrid self-adaptive-velocity particle swarm optimisation-Cooper heuristic for the facility location allocation problem in Jakarta." International Journal of Systems Science: Operations & Logistics 3, no. 2 (April 14, 2015): 63–78. http://dx.doi.org/10.1080/23302674.2015.1029565.
Full textLagos, Carolina, Guillermo Guerrero, Enrique Cabrera, Stefanie Niklander, Franklin Johnson, Fernando Paredes, and Jorge Vega. "A Matheuristic Approach Combining Local Search and Mathematical Programming." Scientific Programming 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/1506084.
Full textAnastasiadis, Eleftherios, Panagiotis Angeloudis, Daniel Ainalis, Qiming Ye, Pei-Yuan Hsu, Renos Karamanis, Jose Escribano Macias, and Marc Stettler. "On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study." Sustainability 13, no. 1 (December 26, 2020): 168. http://dx.doi.org/10.3390/su13010168.
Full textMerkisz-Guranowska, Agnieszka. "A comparative study on end-of-life vehicles network design." Archives of Transport 54, no. 2 (June 30, 2020): 107–23. http://dx.doi.org/10.5604/01.3001.0014.2971.
Full textJolai, Fariborz, Reza Tavakkoli-Moghaddam, and Mohammad Taghipour. "A multi-objective particle swarm optimisation algorithm for unequal sized dynamic facility layout problem with pickup/drop-off locations." International Journal of Production Research 50, no. 15 (August 2012): 4279–93. http://dx.doi.org/10.1080/00207543.2011.613863.
Full textLiu, Zhao, Fang Wang, Pengcheng Xue, and Feng Xue. "Using multi-layer nested network to optimise spatial structure of tourism development between urban and rural areas based on population mobility." Indoor and Built Environment 31, no. 4 (March 1, 2022): 1028–46. http://dx.doi.org/10.1177/1420326x211054809.
Full textDissertations / Theses on the topic "Facility Location Optimisation Problem"
Venables, Harry. "Ant colony optimisation : a proposed solution framework for the capacitated facility location problem." Thesis, University of Sunderland, 2011. http://sure.sunderland.ac.uk/4061/.
Full textDurán, Mateluna Cristian. "Exact solution methods for large-scale discrete p-facility location problems." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAE001.
Full textThis thesis focuses on the exact solution of the NP-hard problems p-median and p-center, combinatorial optimization problems that quickly become difficult to solve as the instance size increases. These discrete location problems involve opening a defined number p of facilities and then allocating to them a set of clients according to an objective function to be minimized.First, we study the p-median problem, which seeks to minimize the sum of distances between clients and the open facilities to which they are allocated. We develop an algorithm based on Benders decomposition that outperforms state-of-the-art exact methods. The algorithm considers a two-stage approach and an efficient algorithm for separating Benders cuts. The method has been evaluated on over 230 benchmark instances with up to 238025 clients and sites. Many instances are solved to optimality for the first time or have their best known solution improved.Secondly, we explore the p-center problem, which seeks to minimize the largest distance between a client and its nearest open facility. We first compare the five main MILP formulations in the literature. We study the Benders decomposition and also propose an exact algorithm based on a client clustering procedure based on the structure of the problem. All the proposed methods are compared with the state-of-the-art on benchmark instances. The results obtained are analyzed, highlighting the advantages and disadvantages of each method.Finally, we study a robust two-stage p-center problem with uncertainty on node demands and distances. We introduce the robust reformulation of the problem based on the five main deterministic MILP formulations in the literature. We prove that only a finite subset of scenarios from the infinite uncertainty set can be considered without losing optimality. We also propose a column and constraint generation algorithm and a branch-and-cut algorithm to efficiently solve this problem. We show how these algorithms can also be adapted to solve the robust single-stage problem. The different proposed formulations are tested on randomly generated instances and on a case study drawn from the literature
Meeyai, Sutthipong. "A Hybrid Approach for The Design of Facility Location and Supply Chain Network Under Supply and Demand Uncertainty: A Systematic Review." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4673.
Full textThangavelu, Balajee. "Single-Facility location problem among two-dimensional existing facility locations." Ohio University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175283985.
Full textWang, Yu Carleton University Dissertation Mathematics and Statistics. "The P-median problem and the uncapacitated facility location problem." Ottawa, 1996.
Find full textKotian, Siddharth R. "PLANAR k-CENTRA SINGLE-FACILITY EUCLIDEAN LOCATION PROBLEM." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1132796955.
Full textRomero, Montoya Alejandro. "Resilient Facility Location Problem for Supply Chain Design." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou152631292582812.
Full textOyewole, Gbeminiyi John. "A Study on Integrated Transportation and Facility Location Problem." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/72419.
Full textThesis (PhD)--University of Pretoria, 2019.
Industrial and Systems Engineering
PhD
Unrestricted
Fors, Amanda. "The metric uncapacitated facility location problem : The problem and the approximation algorithms." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-140442.
Full textWu, Tingying. "Models and algorithms for two-echelon capacitated facility location problem with facility size selection." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLE029.
Full textFacility location is one of the most important strategic decisions for firms in globalization. Previous works on facility location in the literature mainly focus on determining the locations of facilities and the flows of products from facilities to customers with the goal of minimizing the sum of facility opening costs, production and logistic costs. However, it’s very important to determine at the same time the appropriate sizes for these facilities because they greatly affects these costs on the long term. Determining facility location and size is always an open problem.In this thesis, we study three new two-echelon capacitated facility location problems (TECFLP) with facility size selection. The two first parts of the wok focus on two-echelon facility location problems with plant and depot size selection, respectively. The third part concentrates on TECFLP considering simultaneously plant and depot size selection. For these problems, three corresponding mixed integer programming models are formulated and then Lagrangean relaxation approaches according to the problems’ characteristics are developed. To further improve the best solutions obtained by the Lagrangean Relaxation approaches, a tabu search, a hybrid variable neighborhood tabu search and a hybrid simulated annealing tabu search are adapted for the three problems respectively. The developed algorithms are tested and evaluated through 810 randomly generated instances. Computational results show ours algorithms can provide high quality solutions within a reasonable computation time
Books on the topic "Facility Location Optimisation Problem"
Rosenfield, Donald B. The retailer facility location problem. Cambridge, Mass: Massachusetts Institute of Technology, 1985.
Find full textWelch, Stephen Bernard. The obnoxious facility location problem. Birmingham: University of Birmingham, 1999.
Find full textBarros, A. I. The multi-level uncapacitated facility location problem is not submodular. Brussels: European Institute for Advanced Studies in Management, 1992.
Find full textBarros, A. I. A general model for the uncapacitated facility and depot location problem. Brussels: European Institute for Advanced Studies in Management, 1992.
Find full textVatsa, Amit. Multi-period facility location problem with an uncertain number of servers. Ahmedabad: Indian Institute of Management, 2014.
Find full textVatsa, Amit. Tabu search for multi-period facility location: Uncapacitated problem with an uncertain number of servers. Ahmedabad: Indian Institute of Management, 2014.
Find full textSupply Chain Optimisation: Product/Process Design, Facility Location and Flow Control. Springer London, Limited, 2006.
Find full textDolgui, Alexandre, Oleg Zaikin, and Jerzy Soldek. Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control. Springer, 2014.
Find full text(Editor), Alexandre Dolgui, Jerzy Soldek (Editor), and Oleg Zaikin (Editor), eds. Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control (Applied Optimization). Springer, 2004.
Find full textSniekers, Daphne. A stochastic facility location problem with transshipments and service constraints. 2005.
Find full textBook chapters on the topic "Facility Location Optimisation Problem"
Fallah, Hamed, Ali Naimi Sadigh, and Marjan Aslanzadeh. "Covering Problem." In Facility Location, 145–76. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_7.
Full textBiazaran, Maryam, and Bahareh SeyediNezhad. "Center Problem." In Facility Location, 193–217. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_9.
Full textDrezner, Zvi, Kathrin Klamroth, Anita Schöbel, and George O. Wesolowsky. "The Weber Problem." In Facility Location, 1–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56082-8_1.
Full textBastani, Sara, and Narges Kazemzadeh. "Hierarchical Location Problem." In Facility Location, 219–41. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_10.
Full textHekmatfar, Masoud, and Mirsaman Pishvaee. "Hub Location Problem." In Facility Location, 243–70. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_11.
Full textKarimifar, Mohammad Javad, Mohammad Khalighi Sikarudi, Esmaeel Moradi, and Morteza Bidkhori. "Competitive Location Problem." In Facility Location, 271–94. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_12.
Full textBagherpoor, Zeinab, Shaghayegh Parhizi, Mahtab Hoseininia, Nooshin Heidari, and Reza Ghasemi Yaghin. "Warehouse Location Problem." In Facility Location, 295–314. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_13.
Full textHassanzadeh, Anahita, Leyla Mohseninezhad, Ali Tirdad, Faraz Dadgostari, and Hossein Zolfagharinia. "Location-Routing Problem." In Facility Location, 395–417. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_17.
Full textKaviani, Mohamadreza. "Location-Inventory Problem." In Facility Location, 451–71. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_19.
Full textDaneshzand, Farzaneh, and Razieh Shoeleh. "Multifacility Location Problem." In Facility Location, 69–92. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2151-2_4.
Full textConference papers on the topic "Facility Location Optimisation Problem"
Zhang, Shuaixiang, Yixuan Yang, Hao Tong, and Xin Yao. "Learning-Based Problem Reduction for Large-Scale Uncapacitated Facility Location Problems." In 2024 IEEE Congress on Evolutionary Computation (CEC), 1–8. IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10611785.
Full textWeng, Kerui. "Distance Constrained Facility Location Problem." In 2009 IITA International Conference on Services Science, Management and Engineering (SSME). IEEE, 2009. http://dx.doi.org/10.1109/ssme.2009.66.
Full textOgunsemi, Akinola, John McCall, Mathias Kern, Benjamin Lacroix, David Corsar, and Gilbert Owusu. "Facility location problem and permutation flow shop scheduling problem." In GECCO '22: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3520304.3529033.
Full textLam, Alexander. "Nash Welfare in the Facility Location Problem." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/680.
Full textSuzuki, Atsuya, Tomoki Fukuba, and Takayuki Shiina. "The facility location problem with probabilistic constraints." In 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS). IEEE, 2020. http://dx.doi.org/10.1109/scisisis50064.2020.9322732.
Full textAbbal, Khalil, Youssef Benadada, and El Amrani Mohammed. "Bi-level Multi-capacitated Facility location Problem." In 2020 5th International Conference on Logistics Operations Management (GOL). IEEE, 2020. http://dx.doi.org/10.1109/gol49479.2020.9314710.
Full textXue, Zhaojie, Ying Gao, and Jingjing Yin. "Competitive facility location problem with exotic products." In 2017 4th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2017. http://dx.doi.org/10.1109/iea.2017.7939201.
Full textAndré Rey, Tristan, and Jessen Page. "Facility location problem in thermal network design." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30608.
Full textCastenow, Jannik, Björn Feldkord, Till Knollmann, Manuel Malatyali, and Friedhelm Meyer Auf der Heide. "The Online Multi-Commodity Facility Location Problem." In SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3350755.3400281.
Full textRodriguez-Verjan, Carlos, Vincent Augusto, Thierry Garaix, Xiaolan Xie, and Valerie Buthion. "Healthcare at home facility location-allocation problem." In 2012 IEEE International Conference on Automation Science and Engineering (CASE 2012). IEEE, 2012. http://dx.doi.org/10.1109/coase.2012.6386476.
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