Статті в журналах: "Location choice problem"

1

Zomer, Jordi, Nikola Bešinović, Mathijs M. de Weerdt, and Rob M. P. Goverde. "The Maintenance Location Choice Problem for railway rolling stock." Journal of Rail Transport Planning & Management 20 (December 2021): 100268. http://dx.doi.org/10.1016/j.jrtpm.2021.100268.

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2

Aboolian, Robert, Oded Berman, and Majid Karimi. "Probabilistic Set Covering Location Problem in Congested Networks." Transportation Science 56, no. 2 (March 2022): 528–42. http://dx.doi.org/10.1287/trsc.2021.1096.

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This paper focuses on designing a facility network, taking into account that the system may be congested. The objective is to minimize the overall fixed and service capacity costs, subject to the constraints that for any demand the disutility from travel and waiting times (measured as the weighted sum of the travel time from a demand to the facility serving that demand and the average waiting time at the facility) cannot exceed a predefined maximum allowed level (measured in units of time). We develop an analytical framework for the problem that determines the optimal set of facilities and assigns each facility a service rate (service capacity). In our setting, the consumers would like to maximize their utility (minimize their disutility) when choosing which facility to patronize. Therefore, the eventual choice of facilities is a user-equilibrium problem, where at equilibrium, consumers do not have any incentive to change their choices. The problem is formulated as a nonlinear mixed-integer program. We show how to linearize the nonlinear constraints and solve instead a mixed-integer linear problem, which can be solved efficiently.

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3

Zakhry, Karim, Jiang Xin-ying, and Mohammed Ismail Alhussam. "Study on Location Choice for NAFFCO Company in Jiangsu Province China." Business and Economic Research 10, no. 1 (February 22, 2020): 260. http://dx.doi.org/10.5296/ber.v10i1.16510.

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The research presents Fuzzy set multi-criteria decision-making approach combined by Delphi method (ADM) to facilitate location decision. Whereas the preference ranking of alternatives importance of the criteria was obtained by (ADM) then obtained the right decision by applying Fuzzy set method. The applicability of the recommended methods was given on NAFFCO firefighting company location selection problem. The importance of this study is that it presented as followed: it is the first usage of the mixed methodologies in the area of location selection (Jiangsu province) that focusing on market size(MS), labor productivity(LP), knowledge(KN), and transportation(T) to facilitate location decision. Second the presented content of methodologies can be used to decide the important weight of the existed variables. Third, reduce the risks that can be faced in making the location decision to gain a fruitful location decision. Fourth, it can be used to facilitate location selection within unlimited locations and unlimited criteria.

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4

Yuan, Quan. "Environmental Justice in Warehousing Location." Journal of Planning Literature 33, no. 3 (February 2, 2018): 287–98. http://dx.doi.org/10.1177/0885412217753841.

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With the rapid spatial expansion of the warehousing industry in major metropolitan areas, environmental impacts associated with warehousing activities have been growing in the recent decades. This study focuses on the disproportionate distribution of warehousing facilities in disadvantaged neighborhoods and discusses how the disparities result from the interactions between various socioeconomic processes. From the perspective of environmental justice, warehousing-related environmental hazards affect the spatial relationship between warehouses and local communities. The changing factors in the firm location choice of warehousing facilities and the housing location choice of disadvantaged population jointly lead to the environmental justice problem in warehousing location.

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5

Guo, Jessica Y., and Chandra R. Bhat. "Modifiable Areal Units: Problem or Perception in Modeling of Residential Location Choice?" Transportation Research Record: Journal of the Transportation Research Board 1898, no. 1 (January 2004): 138–47. http://dx.doi.org/10.3141/1898-17.

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6

Beresnev, V. L. "On the competitive facility location problem with a free choice of suppliers." Automation and Remote Control 75, no. 4 (April 2014): 668–76. http://dx.doi.org/10.1134/s0005117914040079.

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7

Etebari, Farhad. "A column generation algorithm for the choice-based congested location-pricing problem." Computers & Industrial Engineering 130 (April 2019): 687–98. http://dx.doi.org/10.1016/j.cie.2019.03.023.

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8

El-Araby, Ahmed, Ibrahim Sabry, and Ahmed El-Assal. "A Comparative Study of Using MCDM Methods Integrated with Entropy Weight Method for Evaluating Facility Location Problem." Operational Research in Engineering Sciences: Theory and Applications 5, no. 1 (April 20, 2022): 121–38. http://dx.doi.org/10.31181/oresta250322151a.

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The location selection of facilities became a major interest for the organizations to establish their planned business for a long period of time. The choice of the best location among a set of candidate locations is a complex process. Although the multiple criteria decision making (MCDM) methods are applicable for location selection problems, different solutions can be obtained using different MCDM methods. Thus, a comparative study between four different MCDM methods was applied within numerical example to show the deviations in ranking of the alternatives that occurs when different methods are used. The weights of attributes are assigned using objective method namely Entropy weight method. The rank disagreements are expressed using spearman`s correlation coefficients.

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9

Liu, Huasheng, Yu Li, Chongyu Zhang, Jin Li, Xiaowen Li, and Yuqi Zhao. "Electric Vehicle Charging Station Location Model considering Charging Choice Behavior and Range Anxiety." Sustainability 14, no. 7 (April 1, 2022): 4213. http://dx.doi.org/10.3390/su14074213.

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Electric vehicles (EVs) have the advantages of low pollution, low energy consumption, and high energy efficiency, so they are highly valued by governments, enterprises, and consumers. However, the promotion and use of electric vehicles is restricted to a certain extent because of their limited range. This paper selects electric vehicle intercity medium- and long-distance travel as the research object, and takes the classical flow-capturing location problem as the theoretical basis for the expressway network or national highway network. This paper also considers the driver’s charging choice behavior and range anxiety, studies the electric vehicle charging station location problem, establishes the charging station location model, and uses the Tabu search algorithm to solve the problem. Finally, the effectiveness of the model and algorithm is verified by empirical analysis. The results show that the charging station location model considering the driver’s charging choice behavior and range anxiety performs better.

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10

Miralinaghi, Mohammad, Yingyan Lou, Burcu B. Keskin, Amirali Zarrinmehr, and Ramin Shabanpour. "Refueling station location problem with traffic deviation considering route choice and demand uncertainty." International Journal of Hydrogen Energy 42, no. 5 (February 2017): 3335–51. http://dx.doi.org/10.1016/j.ijhydene.2016.12.137.

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11

Campos Rodríguez, Clara M., Dolores R. Santos Peñate, and José Andrés Moreno Pérez. "Formulación lineal de extensiones del problema de localización competitiva del líder- seguidor." Studies of Applied Economics 31, no. 1 (March 9, 2020): 255. http://dx.doi.org/10.25115/eea.v31i1.3272.

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The leader-follower problem is a sequential decision problem where, in a market initially without service centers, a firm, the leader, opens its centers and another competing firm, the follower, will enter later the market opening its centers. The leader chooses the locations taking into account that the follower will enter the market opening its centers and capturing part of the market share. The objective of each competing firm is to maximize its market share. We consider that the clients will behave making a binary choice using the distance as basis for her/his choice criterion. We extend the basic model by considering a threshold in the client choice rule and opening costs depending on the location. We get formulations of the problem extensions as linear programs from the basic linear model.

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12

Kitthamkesorn, Songyot, Anthony Chen, Sathaporn Opasanon, and Suwicha Jaita. "A P-Hub Location Problem for Determining Park-and-Ride Facility Locations with the Weibit-Based Choice Model." Sustainability 13, no. 14 (July 15, 2021): 7928. http://dx.doi.org/10.3390/su13147928.

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Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.

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13

Shen, Pingning. "Mathematical Programming Formulation of Combined Transportation and Land Use Model." Transportation Research Record: Journal of the Transportation Research Board 1607, no. 1 (January 1997): 62–68. http://dx.doi.org/10.3141/1607-09.

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A mathematical programming model of combined trip distribution, equilibrium network assignment, and residential location choice is presented. The model is developed on the basis of Wardrop’s user equilibrium principle and the random utility theory. A traveler’s route choice behavior is assumed to follow the user-optimized principle, whereas the residential location choice behavior is captured by the random utility theory. The simultaneous choice of travel routes and residential location is based on the assumption that each individual tries to minimize his or her travel cost and maximize his or her living utility. On the basis of this assumption the choice of travel routes is determined by using a user equilibrium assignment model and the choice of residential location is quantified by using a multinomial logit model. After defining the system equations of the combined model, the model is reformulated as a mathematical programming problem so that the characteristics of the combined model can be explored clearly and the model can be solved efficiently. After the properties of the model are analyzed the process of using the gradient search technique with a maximum-likelihood criterion to calibrate the model and by using the Evans algorithm to solve the optimization problem is presented. Furthermore, the model application procedure is also clearly defined.

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14

Ho, Hui-Ping, Ching-Ter Chang, and Cheng-Yuan Ku. "On the location selection problem using analytic hierarchy process and multi-choice goal programming." International Journal of Systems Science 44, no. 1 (January 2013): 94–108. http://dx.doi.org/10.1080/00207721.2011.581397.

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15

Ma, Hongguang, Xiaoyu Guan, and Liang Wang. "A single-facility competitive location problem in the plane based on customer choice rules." Journal of Data, Information and Management 2, no. 4 (November 12, 2020): 323–36. http://dx.doi.org/10.1007/s42488-020-00036-w.

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16

WANG, XUE-FENG, XIAO-MING SUN, and YANG FANG. "GENETIC ALGORITHM SOLUTION FOR MULTI-PERIOD TWO-ECHELON INTEGRATED COMPETITIVE/UNCOMPETITIVE FACILITY LOCATION PROBLEM." Asia-Pacific Journal of Operational Research 25, no. 01 (February 2008): 33–56. http://dx.doi.org/10.1142/s0217595908001626.

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This paper addresses the multi-period two-echelon integrated competitive/uncompetitive facility location problem in a distribution system design that involves locating regional distribution centers (RDCs) and stores, and determining the best strategy for distributing the commodities from a central distribution center (CDC) to RDCs and from RDCs to stores. The goal is to determine the optimal numbers, locations and capacities of RDCs and stores so as to maximize the total profit of the distribution system. Unlike most of past research, our study allows for dynamic planning horizon, distribution of commodities, configuration of two-echelon facilities, availability of capital for investment, external market competition, customer choice behavior and storage limitation. This problem is formulated as a bi-level programming model and a mutually consistent programming mode, respectively. Since such a distribution system design problem belongs to a class of NP-hard problem, a genetic algorithm-based heuristic (GA) is presented and compared with random search solution and mutually consistent solution (MC) using numerical example. The computational results show that the GA approach is efficient and the values of the performance index were significantly improved relative to the MC.

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17

Jones, Jonathan, Isabelle Thomas, and Dominique Peeters. "Forecasting jobs location choices by Discrete Choice Models: A sensitivity analysis to scale and implications for LUTI models." REGION 2, no. 1 (June 15, 2015): 67. http://dx.doi.org/10.18335/region.v2i1.63.

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This paper proposes an empirical analysis of the sensitivity of Discrete Choice Model (DCM) to the size of the spatial units used as choice set (which relates to the well-known Modifiable Areal Unit Problem). Job's location choices in Brussels (Belgium) are used as the case study. DCMs are implemented within different Land Use and Transport Interactions (LUTI) models (UrbanSim, ILUTE) to forecast jobs or household location choices. Nevertheless, no studies have assessed their sensitivity to the size of the Basic Spatial Units (BSU) in an urban context. The results show significant differences in parameter estimates between BSUs. Assuming that new jobs are distributed among the study area proportionally to the utility level predicted by the DCM for each BSU (as in a LUTI model), it is also demonstrated that the spatial distribution of these new jobs varies with the size of the BSUs. These findings mean that the scale of the BSU used in the model can influence the output of a LUTI model relying on DCM to forecast location choices of agents and, therefore, have important operational implications for land-use planning.

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18

Ali, Khurshed, Cheng-Te Li, and Yi-Shin Chen. "Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks." Sensors 21, no. 3 (January 21, 2021): 709. http://dx.doi.org/10.3390/s21030709.

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Influence Maximization problem, selection of a set of users in a social network to maximize the influence spread, has received ample research attention in the social network analysis domain due to its practical applications. Although the problem has been extensively studied, existing works have neglected the location’s popularity and importance along with influential users for product promotion at a particular region in Location-based Social Networks. Real-world marketing companies are more interested in finding suitable locations and influential users in a city to promote their product and attract as many users as possible. In this work, we study the joint selection of influential users and locations within a target region from two complementary perspectives; general and specific location type selection perspectives. The first is to find influential users and locations at a specified region irrespective of location type or category. The second perspective is to recommend locations matching location preference in addition to the target region for product promotion. To address general and specific location recommendations and influential users, we propose heuristic-based methods that effectively find influential users and locations for product promotion. Our experimental results show that it is not always an optimal choice to recommend locations with the highest popularity values, such as ratings, check-ins, and so, which may not be a true indicator of location popularity to be considered for marketing. Our results show that not only influential users are helpful for product promotion, but suitable influential locations can also assist in promoting products in the target region.

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19

Majchrzak, Ewa, and Jerzy Mendakiewicz. "Sensitivity Analysis as a Tool of Optimal Sensors Location for Solidification Parameters Estimation." Materials Science Forum 638-642 (January 2010): 2640–45. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.2640.

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The paper deals with the inverse problems appearing in the thermal theory of foundry processes. In particular, the problems connected with identification of casting and mould thermophysical parameters can be considered. To estimate the parameters determining heat transfer processes in the system casting-mould, the additional information concerning the changes of temperature at the points selected from the domain considered is necessary. The localization of sensors should assure the best conditions of identification process. Generally speaking, the sensor should be located at the point for which the sensitivity of temperature field with respect to parameter estimated achieves maximum. In the case of simultaneous identification of several parameters, the proper choice of sensors localization is more complicated. The main goal of the paper is to discuss a theoretical base connected with the problem formulated, to present the possibilities of numerical methods application, to solve the problem, and finally to show the examples of inverse problems solutions (in particular, the latent heat of binary alloy will be estimated).

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20

Emeç, Şeyma, and Gökay Akkaya. "A STOCHASTIC MULTI-CRITERIA DECISION-MAKING ANALYSIS FOR A WAREHOUSE LOCATION SELECTION PROBLEM: A CASE STUDY." International Journal of Research -GRANTHAALAYAH 7, no. 12 (June 8, 2020): 133–43. http://dx.doi.org/10.29121/granthaalayah.v7.i12.2019.307.

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The problem of a warehouse location selecting which has a significant impact on logistics costs is an important decision problem based on the best choice of alternatives under multiple conflicting criteria. Multiple-criteria decision-making (MCDM) methods are used as a solution approach for the decision problems including several criteria. In this study, a new stochastic multi-criteria decision-making approach has been developed to solve the warehouse location selection problem (WLSP) in the stochastic environment which contains uncertain situations. In the proposed approach, the SAHP (Stochastic Analytic Hierarchy Process) method was used to calculate the weight of criteria, and the alternatives were ranked and evaluated by fuzzy MOORA (Multi-Objective Optimization by Ratio Analysis). The proposed approach is applied to warehouse selection problem of a supermarket chain located in Turkey. The results of the research indicated that A2 is the best alternative. It can be said that the proposed method can be applied to the real life problems because it found a suitable solution to the problem.

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21

Beresnev, V. L., and A. A. Melnikov. "An upper bound for the competitive location and capacity choice problem with multiple demand scenarios." Journal of Applied and Industrial Mathematics 11, no. 4 (October 2017): 472–80. http://dx.doi.org/10.1134/s1990478917040020.

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22

Fernández, José, Boglárka G. Tóth, Juana L. Redondo, Pilar M. Ortigosa, and Aránzazu Gila Arrondo. "A planar single-facility competitive location and design problem under the multi-deterministic choice rule." Computers & Operations Research 78 (February 2017): 305–15. http://dx.doi.org/10.1016/j.cor.2016.09.019.

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23

Yoo, Chun-Beon, and Dong-Wan Tcha. "A cross decomposition procedure for the facility location problem with a choice of facility type." Computers & Industrial Engineering 10, no. 4 (January 1986): 283–90. http://dx.doi.org/10.1016/0360-8352(86)90014-8.

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24

Yan, Huang, Xiaoning Zhang, and Xiaolei Wang. "Hierarchical Passenger Hub Location Problem in a Megaregion Area Considering Service Availability." Promet - Traffic&Transportation 33, no. 2 (March 31, 2021): 247–58. http://dx.doi.org/10.7307/ptt.v33i2.3563.

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The rapid growth of the intercity travel demand has resulted in enormous pressure on the passenger transportation network in a megaregion area. Optimally locating hubs and allocating demands to hubs influence the effectiveness of a passenger transportation network. This study develops a hierarchical passenger hub location model considering the service availability of hierarchical hubs. A mixed integer linear programming formulation was developed to minimize the total cost of hub operation and transportation for multiple travel demands and determine the proportion of passengers that access hubs at each level. This model was implemented for the Wuhan metropolitan area in four different scenarios to illustrate the applicability of the model. Then, a sensitivity analysis was performed to assess the impact of changing key parameters on the model results. The results are compared to those of traditional models, and the findings demonstrate the importance of considering hub choice behavior in demand allocation.

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25

Šarac, Dragana, Miloš Kopić, Katarina Mostarac, Momčilo Kujačić, and Bojan Jovanović. "Application of Set Covering Location Problem for Organizing the Public Postal Network." PROMET - Traffic&Transportation 28, no. 4 (August 31, 2016): 403–13. http://dx.doi.org/10.7307/ptt.v28i4.1962.

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Most countries of the European Union ensure certain obligations (criteria) which universal service providers must meet to ensure the realization of the universal service. These criteria vary from country to country, giving their own choice of an optimal model for the density of the postal network. Such postal network of the operator providing universal postal service must be organized so that post offices are accessible at the optimal distance from the user. This paper presents two different approaches. The first one is based on the population criteria determined in the previous study. The second one is new, a general method created to determine the minimum number of postal unit applications of Set Covering Location Problem. The authors apply both methods on real data collected from the Serbian municipalities and finally, compare the obtained results.

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26

Farman, Haleem, Bilal Jan, Muhammad Talha, Abi Zar, Huma Javed, Murad Khan, Aziz Ud Din, and Kijun Han. "Multicriteria-Based Location Privacy Preservation in Vehicular Ad Hoc Networks." Complexity 2018 (June 4, 2018): 1–12. http://dx.doi.org/10.1155/2018/7697324.

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Vehicular ad hoc networks (VANETs) are the preferable choice for Intelligent Transportation Systems (ITS) because of its prevailing significance in both safety and nonsafety applications. Information dissemination in a multihop fashion along with privacy preservation of source node is a serious but challenging issue. We have used the idea of the phantom node as the next forwarder for data dissemination. The phantom node (vehicle) hides the identity of actual source node thus preserving the location privacy. The selection of the phantom node among the set of alternatives’ candidate vehicles is considered as a multicriteria-based problem. The phantom node selection problem is solved by using an analytical network process (ANP) by considering different traffic scenarios. The selection is based on different parameters which are distance, speed, trust, acceleration, and direction. The best alternative (target phantom vehicle) is selected through an ANP where all the alternatives are ranked from best to worst. The vehicle having maximum weight is considered to be the best choice as a phantom node. In order to check the stability of the alternatives’ ranking, sensitivity analysis is performed by taking into account different traffic scenarios and interest level of candidate vehicles.

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27

Mohammed, Alsumiri, and El Khashab Hisham. "Solar Energy Technology Choice Development." E3S Web of Conferences 64 (2018): 02003. http://dx.doi.org/10.1051/e3sconf/20186402003.

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During the last decade with the modern scientific development, different solar energy (SE) technologies were introduced under vast cost variations. The huge need of energy for the use of economic development with the rise of fossil fuel price represents an urgent problem worldwide. The geographical location of Arab countries makes them subject to high average solar irradiance. So that, sustainable energy generation especially solar energy generation can be suitable alternative to conventional energy generation. To implement a solar energy application, the suitable technology choice represents a huge challenge due to high risk against budget cost. In this paper, different solar energy technologies are discussed with the suitable application to obtain the optimal energy conversion system efficiency. Both photovoltaic (PV) and Solar thermal technologies were investigated.

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28

Liu, Ding. "Exploring the Impact of Commuter’s Residential Location Choice on the Design of a Rail Transit Line Based on Prospect Theory." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/536872.

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This paper explores the impact of prospect theory based commuter’s residential location choice on the design problem of a rail transit line located in a monocentric city. A closed-form social welfare maximization model is proposed, with special consideration given to prospect theory based commuter’s residential location choice over years. Commuters are assumed to make residential location choice by a trade-off between daily housing rent and generalized travel cost to minimize their prospect values. The solutions properties of the proposed model are explored and compared analytically. It is found that overestimation exists for the optimal solutions of rail line length, headway, and fare based on traditional utility theory, compared with the optimal solutions of the proposed prospect theory based model. A numerical example is given to illustrate the properties of the proposed model.

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29

Cvokic, Dimitrije. "A leader-follower single allocation hub location problem under fixed markups." Filomat 34, no. 8 (2020): 2463–84. http://dx.doi.org/10.2298/fil2008463c.

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This study examines a scenario in which two competitors, called a leader and a follower, sequentially create their hub and spoke networks to maximize their profits. It is assumed that a non-hub node can be allocated to at most one hub. The pricing is regulated with a fixed markup. Demand is split according to the logit model, and customers patronize their choice of route by a price. Two variants of this Stackelberg competition are addressed: deterministic and robust. In both cases, it was shown how to present the problem as a bi-level mixed-integer non-linear program. When it comes to the deterministic variant, a mixed-integer linear reformulation of the follower?s model is given. For the robust variant, it is shown how to reformulate the follower?s program as a mixed-integer conic-quadratic one. The benefits of these reformulations are that they allow the usage of state-of-the-art solvers in finding feasible solutions. As a solution approach for the leader, an alternating heuristic is proposed. Computational experiments are conducted on the set of Cinstances and thoroughly discussed, providing some managerial insights.

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30

Xie, Xiao Bo, Xiao Qing Bu, Mao Jian Zheng, and Hai Zhen Wen. "An Empirical Study on Influencing Factors of Residential Location Choice in Hangzhou, China." Applied Mechanics and Materials 357-360 (August 2013): 1747–51. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.1747.

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With the rapid growth of Chinas real estate industry, the consumer behavior in housing market has become one of the issues with greatest concern to developers and the local government. Because of the problem of data, researches on housing choice behavior from the micro level are limited. In this paper, the author built the Logit model about housing choice of urban resident in Hangzhou, selected three main categories of family characteristics, house characteristics and psychological factors, and with division of the housing location in two ways: concentric urban districts and administrative division. The results show that residential location choice decision is largely affected by most of family characteristics, house characteristics and psychological factors. The administrative division of location has more practical significance than concentric urban districts division. The studys conclusion can provide advices for the government, enterprises, as well as residents making decisions.

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31

Bai, Xuejie, and Ying Liu. "Minimum Risk Facility Location-Allocation Problem with Type-2 Fuzzy Variables." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/472623.

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Facility location decision is basically viewed as a long-term strategy, so the inherited uncertainty of main parameters ought to be taken into account in order to make models applicable. In this paper, we examine the impact of uncertain transportation costs and customers’ demands on the choice of optimal location decisions and allocation plans. This leads to the formulation of the facility location-allocation (FLA) problem as a fuzzy minimum risk programming, in which the uncertain parameters are assumed to be characterized by type-2 fuzzy variables with known type-2 possibility distributions. Since the inherent complexity of type-2 fuzzy FLA may be troublesome, existing methods are no longer effective in handling the proposed problems directly. We first derive the critical value formula for possibility value-at-risk reduced fuzzy variable of type-2 triangular fuzzy variable. On the basis of formula obtained, we can convert original fuzzy FLA model into its equivalent parametric mixed integer programming form, which can be solved by conventional numerical algorithms or general-purpose software. Taking use of structural characteristics of the equivalent optimization, we design a parameter decomposition method. Finally, a numerical example is presented to highlight the significance of the fuzzy FLA model. The computational results show the credibility and superiority of the proposed parametric optimization method.

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32

Lozkins, Aleksejs. "The distribution centres choice in the facility location problem on the basis of statistical modeling procedures." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 14, no. 4 (2020): 346–51. http://dx.doi.org/10.21638/11701/spbu10.2018.407.

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33

Lee, Choong Y. "An optimal algorithm for the multiproduct capacitated facility location problem with a choice of facility type." Computers & Operations Research 18, no. 2 (January 1991): 167–82. http://dx.doi.org/10.1016/0305-0548(91)90087-8.

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34

Averbakh, Igor, Oded Berman, Zvi Drezner, and George O. Wesolowsky. "The uncapacitated facility location problem with demand-dependent setup and service costs and customer-choice allocation." European Journal of Operational Research 179, no. 3 (June 2007): 956–67. http://dx.doi.org/10.1016/j.ejor.2005.11.041.

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I., Fedorchenko, Oliinyk A., Korniienko S., and Kharchenko A. "Development and research of a genetic method for the analysis and determination of the location of power grid objects." Artificial Intelligence 25, no. 1 (March 9, 2020): 20–42. http://dx.doi.org/10.15407/jai2020.01.020.

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The problem of combinatorial optimization is considered in relation to the choice of the location of the location of power supplies when solving the problem of the development of urban distribution networks of power supply. Two methods have been developed for placing power supplies and assigning consumers to them to solve this problem. The first developed method consists in placing power supplies of the same standard sizes, and the second - of different standard sizes. The fundamental difference between the created methods and the existing ones is that the proposed methods take into account all the material of the problem and have specialized methods for coding possible solutions, modified operators of crossing and selection. The proposed methods effectively solve the problem of low inheritance, topological unfeasibility of the found solutions, as a result of which the execution time is significantly reduced and the accuracy of calculations is increased. In the developed methods, the lack of taking into account the restrictions on the placement of new power supplies is realized, which made it possible to solve the problem of applying the methods for a narrow range of problems. A comparative analysis of the results obtained by placing power supplies of the same standard sizes and known methods was carried out, and it was found that the developed method works faster than the known methods. It is shown that the proposed approach ensures stable convergence of the search process by an acceptable number of steps without artificial limitation of the search space and the use of additional expert information on the feasibility of possible solutions. The results obtained allow us to propose effective methods to improve the quality of decisions made on the choice of the location of power supply facilities in the design of urban electrical.

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Ulutaş, Alptekin, Figen Balo, Lutfu Sua, Ezgi Demir, Ayşe Topal, and Vladimir Jakovljević. "A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION." Facta Universitatis, Series: Mechanical Engineering 19, no. 3 (October 6, 2021): 515. http://dx.doi.org/10.22190/fume210424060u.

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Warehouses link suppliers and customers throughout the entire supply chain. The location of the warehouse has a significant impact on the logistics process. Even though all other warehouse activities are successful, if the product dispatched from the warehouse fails to meet the customer needs in time, the company may face with the risk of losing customers. This affects the performance of the whole supply chain therefore the choice of warehouse location is an important decision problem. This problem is a multi-criteria decision-making (MCDM) problem since it involves many criteria and alternatives in the selection process. This study proposes an integrated grey MCDM model including grey preference selection index (GPSI) and grey proximity indexed value (GPIV) to determine the most appropriate warehouse location for a supermarket. This study aims to make three contributions to the literature. PSI and PIV methods combined with grey theory will be introduced for the first time in the literature. In addition, GPSI and GPIV methods will be combined and used to select the best warehouse location. In this study, the performances of five warehouse location alternatives were assessed with twelve criteria. Location 4 is found as the best alternative in GPIV. The GPIV results were compared with other grey MCDM methods, and it was found that GPIV method is reliable. It has been determined from the sensitivity analysis that the change in criteria weights causes a change in the ranking of the locations therefore GPIV method was found to be sensitive to the change in criteria weights.

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Yu, Wuyang. "Robust Model of Discrete Competitive Facility Location Problem with Partially Proportional Rule." Mathematical Problems in Engineering 2020 (January 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/3107431.

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When consumers faced with the choice of competitive chain facilities that offer exclusive services, current rules cannot describe these customers’ behaviors very well. So we propose a partially proportional rule to represent this kind of customer behavior. In addition, the exact demands of customers in many real-world environments are often difficult to determine. This is contradicting to the assumption in most studies of the competitive facility location problem. For the competitive facility location problem with the partially proportional rule, we establish a robust optimization model to handle the uncertainty of customers’ demands. We propose two methods to solve the robust model by studying the properties of the counterpart problem. The first method MIP is presented by solving a mixed-integer optimization model of the counterpart problem directly. The second method SAS is given by embedding a sorting subalgorithm into the simulated annealing framework, in which the sorting subalgorithm can easily solve the subproblem. The effects of the budget and the robust control parameter to the location scheme are analyzed in a quasi-real example. The result shows that changes in the robust control parameter can affect the customer demands that were captured by the new entrants, thereby changing the optimal solution for facility location. In addition, there is a threshold of the robust control parameter for any given budget. Only when the robust control parameter is larger than this threshold, the market share captured by the new entering firm increases with the increases of this parameter. Finally, numerical experiments show the superiority of the algorithm SAS in large-scare competitive facility location problems.

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El Ali, Abdallah, Frank Nack, and Lynda Hardman. "Good Times?!" International Journal of Mobile Human Computer Interaction 3, no. 3 (July 2011): 50–65. http://dx.doi.org/10.4018/jmhci.2011070104.

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Using Location-aware Multimedia Messaging (LMM) systems as a research testbed, this paper presents an analysis of how ‘fun or playfulness’ can be studied and designed for under mobile and ubiquitous environments. These LMM systems allow users to leave geo-tagged multimedia messages behind at any location. Drawing on previous efforts with LMM systems and an envisioned scenario illustrating how LMM can be used, the authors discuss what playful experiences are and three problems that arise in realizing the scenario: how playful experiences can be inferred (the inference problem), how the experience of capture can be motivated and maintained (the experience-capture maintenance problem), and how playful experiences can be measured (the measurement problem). In response to each of the problems, three design considerations are drawn for playful Human-Computer Interaction: 1) experiences can be approached as information-rich representations or as arising from human-system interaction 2) incentive mechanisms can be mediators of fun and engagement, and 3) measuring experiences requires a balance in testing methodology choice.

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NESLITURK, ALI I. "A STABILIZING SUBGRID FOR CONVECTION–DIFFUSION PROBLEM." Mathematical Models and Methods in Applied Sciences 16, no. 02 (February 2006): 211–31. http://dx.doi.org/10.1142/s0218202506001121.

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A stabilizing subgrid which consists of a single additional node in each triangular element is analyzed by solving the convection–diffusion problem, especially in the case of small diffusion. The choice of the location of the subgrid node is based on minimizing the residual of a local problem inside each element. We study convergence properties of the method under consideration and its connection with previously suggested stabilizing subgrids. We prove that the standard Galerkin finite element solution on augmented grid produces a discrete solution that satisfy the same a priori error estimates that are typically obtained with SUPG and RFB methods. Some numerical experiments that confirm the theoretical findings are also presented.

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Mazzola, Joseph B., and Alan W. Neebe. "Lagrangian-relaxation-based solution procedures for a multiproduct capacitated facility location problem with choice of facility type." European Journal of Operational Research 115, no. 2 (June 1999): 285–99. http://dx.doi.org/10.1016/s0377-2217(98)00303-8.

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Beresnev, V. L., and A. A. Mel’nikov. "The branch-and-bound algorithm for a competitive facility location problem with the prescribed choice of suppliers." Journal of Applied and Industrial Mathematics 8, no. 2 (April 2014): 177–89. http://dx.doi.org/10.1134/s1990478914020045.

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Hicks, James E., and Mounir M. Abdel-Aal. "Maximum Likelihood Estimation for Combined Travel Choice Model Parameters." Transportation Research Record: Journal of the Transportation Research Board 1645, no. 1 (January 1998): 160–69. http://dx.doi.org/10.3141/1645-20.

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Equilibrium models of combined location and travel choices solve for the modal link flow pattern, which simultaneously solves a constrained minimization problem and satisfies a set of equilibrium conditions characterizing a rational behavior for traveler choices in an urban transportation system. The minimization problem typically is made to be representative of the particular urban area being studied by including coefficients of travel costs and travel choices that have been estimated from locally available observed data. For large urban areas, in practice, it is possible to derive interzonal travel times and costs only from the travel model, because suitable observed data are nonexistent. In this case, the estimation problem is a function of the travel model variables and, at the same time, the travel model is a function of the parameters determined by the estimation problem. Procedures to computationally search for a stable solution to this bilevel optimization problem have been addressed with limited success. The parameter estimation is solved in an iterative procedure in which first parameters are held fixed and the travel model is solved, then travel patterns are held fixed and the maximum likelihood parameters are solved by the Newton-Raphson method. Each successive parameter estimation resulting from these two steps results in a new set of parameter values for the next iteration until stable values for the parameters are achieved. The quality of the convergence of the parameter estimates is reported.

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Milovanović, Zdravko, Snježana Milovanović, Valentina Janičić Milovanović, Svetlana Dumonjić-Milovanović, and Dejan Branković. "Modeling of the Optimization Procedure for Selecting the Location of New Thermal Power Plants (TPP)." International Journal of Mathematical, Engineering and Management Sciences 6, no. 1 (October 29, 2020): 118–65. http://dx.doi.org/10.33889/ijmems.2021.6.1.009.

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At the level of design of thermal power plants (TPP), when making decisions related to the choice of its macro location and micro location, disposition solution and equipment structure, the choice of the right decision method is of particular importance. Multi criteria analysis involves solving inadequately structured problems, while in practical terms it is a necessary tool in solving the day-to-day tasks of decision-making, management actions, both at the design level and the exploitation of complex energy and process systems. The development of new methods and the improvement of existing multi criteria analysis methods have influenced their increasing application in the field of energy, from both theoretical and practical aspects. A particular segment of the application of multi criteria analysis methods is to make strategic or operational decisions when solving multidisciplinary problems with predominantly technical or predominantly economic content, whether looking at a part or the energy system as a whole. The application of these methods in choosing the right solutions in the decision-making tasks of management in the design, maintenance and operation of thermal power plants is based on the development of information technology and computer technology. There are several methods in use today, of which the following should be emphasized: PROMETHEE (Preference Ranking Organization METHod of Enrichment Evaluation), AHP (Analytic Hierarchy Process), IKOR, ELECTRE (ELimination Et Choice Translating REality), MAX-MIN, MAX-MAX, Hurwicz (combination of max-max and max-min methods), SAW (Simple Additive Weighting Method), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), conjunctive method, disjunctive method, etc. Depending on the method used, the ranking of alternatives or criteria, the best alternative or criterion or set of alternatives or criteria that meet certain conditions is obtained as a solution. Problems that can be considered using multi-criteria decision-making have certain common characteristics: a large number of criteria that must be created by the decision maker, a high likelihood of conflict between the criteria, inseparable (different) units of measure (as a rule, each criterion has different units of measure), as well as design or the choice of optimal concepts in a predetermined space. Solutions are either designing the best alternative or choosing the best action from a set of predefined final actions. This paper provides a brief description of the more important methods, along with an analysis of their advantages and disadvantages, as well as the possibility of applying them to solve the specific problem of choosing a micro location for TPP. Starting from the application of the modified multi criteria method for determining the priorities between individual alternatives for ranking and selecting the optimal micro location within a certain macro location within a predetermined framework, in a decision situation involving a number of decision makers of different specialty, examples of micro location selection for new thermal power facilities of TPP Stanari are given, TPP Gacko 2 and TPP Ugljevik 3, with preliminary definition of elimination criteria and criteria for comparison of locations of given TPPs.

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Suwarto, Suwarto, Mohamad Harisudin, and Ernoiz Antriyandarti. "PILIHAN PETANI PADA KELEMBAGAAN LAHAN USAHATANI TANAMAN PANGAN DI PARANGGUPITO KABUPATEN WONOGIRI." Caraka Tani: Journal of Sustainable Agriculture 27, no. 1 (September 11, 2017): 82. http://dx.doi.org/10.20961/carakatani.v27i1.14360.

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<p>The choice of institutional land in farming crops for farmers can be influenced by the situation and condition of the farmers who worked in the institutional field. Institutional land in farms is important, thus it is necessity to know the institutional land that currently exist in a region along with the factors that influence the choice of institutional land for farmers. The study was designed to answer the following research problem: (1) to explore and describe institutional dry land area of research in current conditions, and (2) to identify the factors that influence the choice of institutional dry land on farm crops. The location of research used poor rural areas which are far away from the town, Bandungan Hamlet and Parang Kulon Hamlet, Paranggupito District, southern region of Wonogiri Regency , ± 70 km from the Capital of Wonogiri. The choice of location is relatively far away from the city intended to get comprehensive information on institutional land. There were 32 farm households in both hamlets that have cooperation in institutional land as respondents. This research conducted in-depth survey and assessment. The result of study showed that the cooperation on an institutional land area there are pledge, lease, ‘sakap’, and lending. Various factors that influence farmers' choices in the institutional area are known, namely: the bargaining position of farmers who work together, the distance of land by farmers, and kinship.</p>

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Khan, Shabeer, Saleem Abdullah, Shahzaib Ashraf, Ronnason Chinram, and Samruam Baupradist. "Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan." Mathematical Problems in Engineering 2020 (December 1, 2020): 1–21. http://dx.doi.org/10.1155/2020/6677676.

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The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socio-economic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE). Furthermore, based on these Yager operational laws, we develop a list of novel aggregation operators under NE. In addition, we design an algorithm to tackle the uncertainty to investigating the best solar power plant selection in five potential locations in Pakistan. A numerical example of solar power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

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Chinram, Ronnason, Shahzaib Ashraf, Saleem Abdullah, and Pattarawan Petchkaew. "Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan." Journal of Mathematics 2020 (December 21, 2020): 1–21. http://dx.doi.org/10.1155/2020/8824032.

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The problem of energy crisis and environmental pollution has been mitigated by the generation and use of wind power; however, the choice of locations for wind power plants is a difficult task because the decision-making process includes political, socioeconomic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of wind power plant locations. Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the positive, neutral, and negative grades must be at least zero and at most one. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). Furthermore, based on these Yager operational laws, we develop list of novel aggregation operators under SFE. In addition, we design an algorithm to tackle the uncertainty to investigating the best wind power plant selection in four potential locations in Pakistan. A numerical example of wind power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

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Duan, Jason A., and Carl F. Mela. "The Role of Spatial Demand on Outlet Location and Pricing." Journal of Marketing Research 46, no. 2 (April 2009): 260–78. http://dx.doi.org/10.1509/jmkr.46.2.260.

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In this article, the authors consider the problem of outlet pricing and location in the context of unobserved spatial demand. The analysis constitutes a scenario in which capacity-constrained firms set prices conditional on their location, demand, and costs. This enables firms to develop maps of latent demand patterns across the market in which they compete. The analysis further suggests locations for additional outlets and the resultant equilibrium effect on profits and prices. Using Bayesian spatial statistics, the authors apply their model to seven years of data on apartment location and prices in Roanoke, Va. They find that spatial covariation in demand is material in outlet choice; the 95% spatial decay in demand extends 3.6 miles in a region that measures slightly more than 9.5 miles. They also find that capacity constraints can cost complexes upward of $100 per apartment. As they predict, price elasticities and costs are biased downward when spatial covariance in demand is ignored. Costs are biased upward when capacity constraints are ignored. Using the analysis to suggest locations for entry, the authors find that properly accounting for spatial effects and capacity constraints leads to an entry recommendation that improves profitability by 66% over a model that ignores these effects.

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Скударнов, Алексей, and Aleksey Skudarnov. "To the problem of discretion in the application of the law." Advances in Law Studies 4, no. 4 (November 29, 2016): 0. http://dx.doi.org/10.12737/23476.

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The article is devoted to the problem of discretion in the application of law. The concept of individual signs and enforcement, allowing to determine the location of discretion within it. In another example illustrates the role and importance of freedom of choice when resolving a specific legal case. The author examines the possibility of discretion at various stages of application of law: in establishing the facts of the case, with legal qualification and when making an act of application of law. In conclusion, the conclusion about the importance of discretion to exclude-equestrian, reasonable and fair decisions.

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Chen, Ji, Jinsheng Wang, Tomas Baležentis, Fausta Zagurskaitė, Dalia Streimikiene, and Daiva Makutėnienė. "Multicriteria Approach towards the Sustainable Selection of a Teahouse Location with Sensitivity Analysis." Sustainability 10, no. 8 (August 17, 2018): 2926. http://dx.doi.org/10.3390/su10082926.

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The teahouse market has seen an expansion across various countries. In order to identify the most reasonable paths for development, the choice of location for the outlets needs to account for a number of conflicting criteria. Therefore, the multicriteria approach is required to effectively handle the location selection problem. In this paper, we develop a multicriteria framework for teahouse selection and apply it in the context of Lithuania. The indicator system is set up in order to capture the different aspects of the candidate locations. We also apply two multicriteria decision-making techniques (the evaluation based on distance from average solution (EDAS) method and the weighted aggregated sum product assessment with normalization (WASPAS-N) method) in order to ensure the robustness of the results. The weights of criteria were determined based on the expert survey. In addition, a Monte Carlo simulation was applied to check the sensitivity in changes of the criterion weights. The empirical application demonstrated validity of the proposed approach in choosing the optimal location of a teahouse.

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Naumov, Vitalii. "Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic." Energies 14, no. 4 (February 5, 2021): 839. http://dx.doi.org/10.3390/en14040839.

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Electric cargo bicycles have become a popular mode of transport for last-mile goods deliveries under conditions of restricted traffic in urban areas. The indispensable elements of the cargo bike delivery systems are loading hubs: they serve as intermediate points between vans and bikes ensuring loading, storage, and e-vehicle charging operations. The choice of the loading hub location is one of the basic problems to be solved when designing city logistics systems that presume the use of electric bicycles. The paper proposes an approach to justifying the location of a loading hub based on computer simulations of the delivery process in the closed urban area under the condition of stochastic demand for transport services. The developed mathematical model considers consignees and loading hubs as vertices in the graph representing the transport network. A single request for transport services is described based on the set of numeric parameters, among which the most significant are the size of the consignment, its dimensions, and the time interval between the current and the previous requests for deliveries. The software implementation of the developed model in Python programming language was used to simulate the process of goods delivery by e-bikes for two cases—the synthetically generated rectangular network and the real-world case of the Old Town district in Krakow, Poland. The loading hub location was substantiated based on the simulation results from a set of alternative locations by using the minimum of the total transport work as the efficiency criterion. The obtained results differ from the loading hub locations chosen with the use of classical rectilinear and center-of-gravity methods to solve a simple facility location problem.

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