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Artículos de revistas sobre el tema "Single facility"

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Publicado: 18 de mayo de 2024

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1

Hungerländer, Philipp. "Single-row equidistant facility layout as a special case of single-row facility layout". International Journal of Production Research 52, n.º 5 (15 de agosto de 2013): 1257–68. http://dx.doi.org/10.1080/00207543.2013.828163.

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2

Saeed, N. A., Y. Lee y H. S. M. Park. "Multi-Facility vs. Single-Facility Concurrent Chemoradiation for Lung Cancer". International Journal of Radiation Oncology*Biology*Physics 111, n.º 3 (noviembre de 2021): e340-e341. http://dx.doi.org/10.1016/j.ijrobp.2021.07.1030.

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3

Plastria, Frank. "AVOIDING CANNIBALISATION AND/OR COMPETITOR REACTION IN PLANAR SINGLE FACILITY LOCATION". Journal of the Operations Research Society of Japan 48, n.º 2 (2005): 148–57. http://dx.doi.org/10.15807/jorsj.48.148.

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4

Kerstiens, John, Gregory P. Johnstone y Peter A. S. Johnstone. "Proton Facility Economics: Single-Room Centers". Journal of the American College of Radiology 15, n.º 12 (diciembre de 2018): 1704–8. http://dx.doi.org/10.1016/j.jacr.2018.07.020.

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5

Murray, Alan T., Richard L. Church y Xin Feng. "Single facility siting involving allocation decisions". European Journal of Operational Research 284, n.º 3 (agosto de 2020): 834–46. http://dx.doi.org/10.1016/j.ejor.2020.01.047.

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6

Byong-Hun, Ahn y Hyun Jae-Ho. "Single facility multi-class job scheduling". Computers & Operations Research 17, n.º 3 (enero de 1990): 265–72. http://dx.doi.org/10.1016/0305-0548(90)90003-p.

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7

Lage, Mariana de Oliveira, Cláudia Aparecida Soares Machado, Cristiano Martins Monteiro, Clodoveu Augusto Davis, Charles Lincoln Kenji Yamamura, Fernando Tobal Berssaneti y José Alberto Quintanilha. "Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services". Sustainability 13, n.º 22 (17 de noviembre de 2021): 12704. http://dx.doi.org/10.3390/su132212704.

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In the last few years, vehicle sharing has driven a gradual switch from ownership-based private mobility to service usage as a sustainable urban transport alternative. A significant number of cities have implemented mobility sharing programs. Shared transport reduces both traffic congestion, and the need for parking space, decreasing the number of vehicles on the road. The optimization of shared mobility service sites increases potential user access, reduces transportation costs, and augments demand for this transportation modality. Car sharing is a mobility concept where the usage of a vehicle fleet is shared among several people. This is a relatively new concept of transport, with short vehicle rental periods. It provides the convenience of private vehicles without additional charges. A key success factor is the location of sharing stations. The study presented here refers to a car sharing service to be operated by a carmaker in the city of São Paulo (Brazil). This article aims to identify and to select the best places to establish sharing stations within the company’s dealer and servicing network. A geographic information system (GIS) calculates spatial distribution of potential trip demand. Two models of hierarchical facility location are used to determine ideal station locations. It also suggests potential local partners to house car-sharing stations, such as hotels and private car parks. Voronoi diagrams support the location task. The recent rediscovery of Weber’s classic unique facility location problem has also been applied. The selection criterion was to maximize demand and hence operator profit, while minimizing obstacles like the distance to stations.
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8

Hooker, John. "Solving Nonlinear Single-Facility Network Location Problems". Operations Research 34, n.º 5 (octubre de 1986): 732–43. http://dx.doi.org/10.1287/opre.34.5.732.

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9

Yu, Wu, Wang Shaohu y Yu Zengliang. "Consideration about the Single-neutron Microbeam Facility". Plasma Science and Technology 6, n.º 3 (junio de 2004): 2350–52. http://dx.doi.org/10.1088/1009-0630/6/3/017.

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10

Cholewa, M., A. Saint, G. J. F. Legge y T. Kamiya. "Design of a single ion hit facility". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 130, n.º 1-4 (julio de 1997): 275–79. http://dx.doi.org/10.1016/s0168-583x(97)00356-x.

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11

Polak, W., O. Veselov, J. Lekki, Z. Stachura, M. Zazula, R. Ugenskiene, M. Polak y J. Styczen. "Irradiating single cells using Cracow microprobe facility". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 249, n.º 1-2 (agosto de 2006): 743–46. http://dx.doi.org/10.1016/j.nimb.2006.03.131.

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12

Holcomb, G. W. "Necrotizing enterocolitis: Improving survival within single facility". Journal of Pediatric Surgery 25, n.º 5 (mayo de 1990): 571–72. http://dx.doi.org/10.1016/0022-3468(90)90614-f.

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13

Kalita, Zahnupriya y Dilip Datta. "A constrained single-row facility layout problem". International Journal of Advanced Manufacturing Technology 98, n.º 5-8 (2 de julio de 2018): 2173–84. http://dx.doi.org/10.1007/s00170-018-2370-6.

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14

FORSYTH, J. B., C. C. WILSON, A. M. STRINGER, J. A. K. HOWARD y O. JOHNSON. "SXD, THE SINGLE CRYSTAL FACILITY AT ISIS". Le Journal de Physique Colloques 47, n.º C5 (agosto de 1986): C5–143—C5–147. http://dx.doi.org/10.1051/jphyscol:1986519.

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15

Gupta, Jatinder N. D. y Sushil K. Gupta. "Single facility scheduling with nonlinear processing times". Computers & Industrial Engineering 14, n.º 4 (enero de 1988): 387–93. http://dx.doi.org/10.1016/0360-8352(88)90041-1.

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16

N.D. Gupta, Jatinder. "Single facility scheduling with multiple job classes". European Journal of Operational Research 33, n.º 1 (enero de 1988): 42–45. http://dx.doi.org/10.1016/0377-2217(88)90252-4.

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17

Blanquero, Rafael, Emilio Carrizosa, Amaya Nogales-Gómez y Frank Plastria. "Single-facility huff location problems on networks". Annals of Operations Research 222, n.º 1 (17 de septiembre de 2013): 175–95. http://dx.doi.org/10.1007/s10479-013-1445-x.

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18

Gao, Xuehong, Chanseok Park, Xiaopeng Chen, En Xie, Guozhong Huang y Dingli Zhang. "Globally Optimal Facility Locations for Continuous-Space Facility Location Problems". Applied Sciences 11, n.º 16 (9 de agosto de 2021): 7321. http://dx.doi.org/10.3390/app11167321.

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The continuous-space single- and multi-facility location problem has attracted much attention in previous studies. This study focuses on determining the globally optimal facility locations for two- and higher-dimensional continuous-space facility location problems when the Manhattan distance is considered. Before we propose the exact method, we start with the continuous-space single-facility location problem and obtain the global minimizer for the problem using a statistical approach. Then, an exact method is developed to determine the globally optimal solution for the two- and higher-dimensional continuous-space facility location problem, which is different from the previous clustering algorithms. Based on the newly investigated properties of the minimizer, we extend it to multi-facility problems and transfer the continuous-space facility location problem to the discrete-space location problem. To illustrate the effectiveness and efficiency of the proposed method, several instances from a benchmark are provided to compare the performances of different methods, which illustrates the superiority of the proposed exact method in the decision-making of the continuous-space facility location problems.
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19

Kubalík, Jiří, Lukáš Kurilla y Petr Kadera. "Facility Layout Problem with Alternative Facility Variants". Applied Sciences 13, n.º 8 (17 de abril de 2023): 5032. http://dx.doi.org/10.3390/app13085032.

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The facility layout problem is one of the fundamental production system management problems. It has a significant impact on overall system efficiency. This paper introduces a new facility layout problem that allows for choosing from multiple variants of each facility. The need for choosing the most suitable selection from the facility variants while at the same time optimizing other layout quality indicators represents a new optimization challenge. We build on our previous work where single- and multi-objective evolutionary algorithms using indirect representation were proposed to solve the facility layout problem. Here, the evolutionary algorithms are adapted for the problem of facility variants, including the new solution representation and variation operators. Additionally, a cooling schedule, whose role is to control the exploration/exploitation ratio during the course of the optimization process, is proposed. It was inspired by the cooling schedule used in the simulated annealing technique. The extended evolutionary algorithms have been experimentally evaluated on two data sets, with and without the alternative variants of facilities. The obtained results demonstrate the capability of the extended evolutionary algorithms to solve the newly formulated facility layout problem efficiently. It also shows that the cooling schedule improves the convergence of the algorithms.
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20

DODIN, BAJIS. "SchedulingNproducts on a single facility with allowed backordering". International Journal of Production Research 23, n.º 2 (enero de 1985): 329–44. http://dx.doi.org/10.1080/00207548508904711.

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21

Suo, Xiao Hong y Xian Chi. "Single-Row Facility Layout Based on Manufacturing Costs". Applied Mechanics and Materials 300-301 (febrero de 2013): 140–45. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.140.

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Single-row facility layout is widely used in manufacturing system. It has a very important effect on the performance of manufacturing system. The single-row facility layout, including linear, U-shape, and semi-circular layout are introduced firstly. Based on the lower selling price of customers’ demand, the components of manufacturing cost are analyzed secondly. Then the relationship between the manufacturing cost and objectives of single-row layout are described. Meanwhile, the mathematical and simulation models related to several parts of manufacturing cost of single-row layout are set up respectively. Finally, the simulation of these models for single-row layout is running in QUEST. After analyzing the simulation results, conclusions are obtained: (1) material handling cost of semi-circular layout is the lowest among the three types of single-row facility layout; (2) area utilization rate of U-shape layout is higher than others; (3) equipment and labor utilization of U-shape layout is the higher than others in the same moment. This research results will
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22

Holcomb, G. W. "Necrotizing enterocolitis: improving survival within a single facility". Journal of Pediatric Surgery 25, n.º 7 (julio de 1990): 827. http://dx.doi.org/10.1016/s0022-3468(05)80055-7.

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23

Khodja, H., M. Hanot, M. Carrière, J. Hoarau y J. F. Angulo. "The single-particle microbeam facility at CEA-Saclay". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 267, n.º 12-13 (junio de 2009): 1999–2002. http://dx.doi.org/10.1016/j.nimb.2009.03.040.

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24

Watt, Frank, Xiao Chen, Armin Baysic De Vera, Chammika N. B. Udalagama, M. Ren, Jeroen A. van Kan y Andrew A. Bettiol. "The Singapore high resolution single cell imaging facility". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 269, n.º 20 (octubre de 2011): 2168–74. http://dx.doi.org/10.1016/j.nimb.2011.02.028.

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25

Valero Franco, C., A. M. Rodríguez-Chía y I. Espejo Miranda. "The single facility location problem with average-distances". TOP 16, n.º 1 (19 de febrero de 2008): 164–94. http://dx.doi.org/10.1007/s11750-008-0040-9.

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26

Murray, K. M., W. J. Stapor y C. Castenada. "A proton beam facility for single event research". Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 56-57 (mayo de 1991): 1256–59. http://dx.doi.org/10.1016/0168-583x(91)95145-4.

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27

Melachrinoudis, Emanuel y Zaharias Xanthopulos. "Semi-obnoxious single facility location in Euclidean space". Computers & Operations Research 30, n.º 14 (diciembre de 2003): 2191–209. http://dx.doi.org/10.1016/s0305-0548(02)00140-5.

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28

Liao, Ching-Jong y Li-Man Liao. "Single facility scheduling with major and minor setups". Computers & Operations Research 24, n.º 2 (febrero de 1997): 169–78. http://dx.doi.org/10.1016/s0305-0548(96)00051-2.

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29

KAFRISSEN, MICHAEL E., DAVID A. GRIMES, CAROL J. R. HOGUE y JEFFREY J. SACKS. "Cluster of Abortion Deaths at a Single Facility". Obstetrics & Gynecology 68, n.º 3 (septiembre de 1986): 387–89. http://dx.doi.org/10.1097/00006250-198609000-00020.

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30

Palubeckis, Gintaras. "Fast local search for single row facility layout". European Journal of Operational Research 246, n.º 3 (noviembre de 2015): 800–814. http://dx.doi.org/10.1016/j.ejor.2015.05.055.

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31

Hinojosa, Y. y J. Puerto. "Single facility location problems with unbounded unit balls". Mathematical Methods of Operations Research (ZOR) 58, n.º 1 (1 de septiembre de 2003): 87–104. http://dx.doi.org/10.1007/s001860300277.

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32

Shiode, Shôgo y Hiroaki Ishii. "A single facility stochastic location problem undera-distance". Annals of Operations Research 31, n.º 1 (diciembre de 1991): 469–78. http://dx.doi.org/10.1007/bf02204864.

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33

Tian, Fang y Zi-Long Liu. "Probabilistic single obnoxious facility location with fixed budget". Information Processing Letters 112, n.º 5 (febrero de 2012): 195–99. http://dx.doi.org/10.1016/j.ipl.2011.09.001.

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34

Drezner, Zvi, Carlton H. Scott y John Turner. "Mixed planar and network single-facility location problems". Networks 68, n.º 4 (18 de agosto de 2016): 271–82. http://dx.doi.org/10.1002/net.21698.

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35

Coban, Elvin y J. N. Hooker. "Single-facility scheduling by logic-based Benders decomposition". Annals of Operations Research 210, n.º 1 (9 de diciembre de 2011): 245–72. http://dx.doi.org/10.1007/s10479-011-1031-z.

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36

Maghfiroh, Meilinda Fitriani Nur. "Solving Multi-Objective Paired Single Row Facility Layout Problem Using Hybrid Variable Neighborhood Search". Jurnal Teknik Industri 23, n.º 2 (21 de diciembre de 2021): 171–82. http://dx.doi.org/10.9744/jti.23.2.171-182.

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The footwear industry is distinguished by its manual assembly line and a high proportion of shared workstation configuration. This study focuses on a subset of the single row facility layout problem known as the paired single row facility layout problem. As one of type of single-row facility layout, the paired single row facility layout problem cannot be solved quickly. Further, different objectives also need to be considered in the decision-making process. Therefore, multi-objective approaches are proposed to minimize the penalty of material handler usage while maximizing the adjacency function based on each workstation's closeness rating. A Single Row Facility Layout is an NP-hard problem; this problem also belongs to the NP-hard problem class. As a result, we propose a hybrid method combining variable neighborhood search (VNS) and genetic algorithm (GA) to solve the problem of obtaining the optimal configuration of a multi-objective paired single-row assembly line. A heuristic approach was used to create the schematic representation solution. To obtain the neighborhood solutions, a hybrid VNSGA was used. The schematic representation solution employs crossover and variable neighborhood descent. Using the concept of VNS, the neighborhood was changed in each generation.
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37

Kerivin, H., D. Nace y T. T. L. Pham. "Design of capacitated survivable networks with a single Facility". IEEE/ACM Transactions on Networking 13, n.º 2 (abril de 2005): 248–61. http://dx.doi.org/10.1109/tnet.2005.845547.

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38

Ramaswamy, Kizhanatham V. "Single facility sequencing with variable processing times and costs". Journal of Statistics and Management Systems 1, n.º 2-3 (enero de 1998): 115–23. http://dx.doi.org/10.1080/09720510.1998.10700980.

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39

Al-Khayyal, Faiz, Hoang Tuy y Fangjun Zhou. "LARGE-SCALE SINGLE FACILITY CONTINUOUS LOCATION BY D.C. OPTIMIZATION". Optimization 51, n.º 2 (abril de 2002): 271–92. http://dx.doi.org/10.1080/02331930290019422.

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40

ANEJA, Y. P. y N. SINGH. "Scheduling Production of Common Components at a Single Facility". IIE Transactions 22, n.º 3 (septiembre de 1990): 234–37. http://dx.doi.org/10.1080/07408179008964178.

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41

VICKSON, R. G., M. J. MAGAZINE y C. A. SANTOS. "BATCHING AND SEQUENCING OF COMPONENTS AT A SINGLE FACILITY". IIE Transactions 25, n.º 2 (marzo de 1993): 65–70. http://dx.doi.org/10.1080/07408179308964278.

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42

Qiu, Jiaming y Thomas C. Sharkey. "Integrated dynamic single-facility location and inventory planning problems". IIE Transactions 45, n.º 8 (agosto de 2013): 883–95. http://dx.doi.org/10.1080/0740817x.2013.770184.

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43

Plastria, F. "Optimal gridpositioning or single facility location on the torus". RAIRO - Operations Research 25, n.º 1 (1991): 19–29. http://dx.doi.org/10.1051/ro/1991250100191.

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44

Mäckel, V., N. Puttaraksa, T. Kobayashi y Y. Yamazaki. "Single proton counting at the RIKEN cell irradiation facility". Review of Scientific Instruments 86, n.º 8 (agosto de 2015): 085103. http://dx.doi.org/10.1063/1.4927718.

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45

Konforty, Yael y Arie Tamir. "The single facility location problem with minimum distance constraints". Location Science 5, n.º 3 (octubre de 1997): 147–63. http://dx.doi.org/10.1016/s0966-8349(98)00032-1.

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46

Palubeckis, Gintaras. "Single row facility layout using multi-start simulated annealing". Computers & Industrial Engineering 103 (enero de 2017): 1–16. http://dx.doi.org/10.1016/j.cie.2016.09.026.

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47

Cheung, Sin-Shuen y David P. Williamson. "Greedy algorithms for the single-demand facility location problem". Operations Research Letters 45, n.º 5 (septiembre de 2017): 452–55. http://dx.doi.org/10.1016/j.orl.2017.07.002.

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48

Benkoczi, Robert, Binay K. Bhattacharya, Sandip Das y Jeff Sember. "Single facility collection depots location problem in the plane". Computational Geometry 42, n.º 5 (julio de 2009): 403–18. http://dx.doi.org/10.1016/j.comgeo.2008.04.004.

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49

Díaz-Báñez, J. M., M. Korman, P. Pérez-Lantero y I. Ventura. "Locating a single facility and a high-speed line". European Journal of Operational Research 236, n.º 1 (julio de 2014): 69–77. http://dx.doi.org/10.1016/j.ejor.2013.11.019.

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50

Duenyas, Izak. "Single Facility Due Date Setting with Multiple Customer Classes". Management Science 41, n.º 4 (abril de 1995): 608–19. http://dx.doi.org/10.1287/mnsc.41.4.608.

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