Location selection for utility maximization with capacity constraints

2012 ◽  
Author(s):  
Yu Sun ◽  
Jin Huang ◽  
Yueguo Chen ◽  
Rui Zhang ◽  
Xiaoyong Du
Keyword(s):  
Utility Maximization ◽  
Capacity Constraints ◽  
Location Selection ◽  
Selection For

scholarly journals MapReduce based location selection algorithm for utility maximization with capacity constraints

Computing ◽  
2014 ◽  
Vol 97 (4) ◽  
pp. 403-423 ◽  
Author(s):  
Yu Sun ◽  
Jianzhong Qi ◽  
Rui Zhang ◽  
Yueguo Chen ◽  
Xiaoyong Du
Keyword(s):  
Utility Maximization ◽  
Capacity Constraints ◽  
Selection Algorithm ◽  
Location Selection

Communities ready for takeoff

2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith
Keyword(s):  
Site Selection ◽  
Science Literature ◽  
Location Selection ◽  
Community Assets ◽  
Selection Decisions ◽  
The Social ◽  
Selection For ◽  
Insight Into ◽  
New Infrastructure ◽  
Take All

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.

Warehouse Vis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts

2020 ◽  
Vol 39 (3) ◽  
pp. 483-495
Author(s):  
Q. Li ◽  
Q. Q. Liu ◽  
C. F. Tang ◽  
Z. W. Li ◽  
S. C. Wei ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Location Selection ◽  
Warehouse Location ◽  
Selection For

Location selection for underground natural gas storage using Choquet integral

2017 ◽  
Vol 45 ◽  
pp. 368-379 ◽  
Author(s):  
Nihan Çetin Demirel ◽  
Tufan Demirel ◽  
Muhammet Deveci ◽  
Gökhan Vardar
Keyword(s):  
Natural Gas ◽  
Choquet Integral ◽  
Gas Storage ◽  
Natural Gas Storage ◽  
Location Selection ◽  
Selection For

Location Model and Algorithm of Construction Waste Recycling Centers for Service Reliability

2015 ◽  
Vol 24 (2) ◽  
pp. 287-297 ◽  
Author(s):  
Qiu Xie ◽  
Xing Rong Fan ◽  
Qiong He ◽  
Yu Yang
Keyword(s):  
Optimization Model ◽  
Waste Recycling ◽  
Location Model ◽  
Social Effects ◽  
Service Reliability ◽  
Construction Waste ◽  
Location Selection ◽  
Location Optimization ◽  
Delivery Reliability ◽  
Selection For

AbstractPresently, most studies focus on the minimization of the costs and negative social effects of the location of construction waste recycling centers; however, the influence of the location on future operation is usually ignored. Aiming at solving these problems, a location model for the maximization of service reliability was devised. Service reliability includes the recycling reliability of the construction waste and the delivery reliability of the recycled product. Through maximizing service reliability, the location deviation as a result of arrival delay is expected to be reduced and the service reliability improved. Then, two important parameters in our model were solved on the basis of correlative mathematical theories. Finally, an example was implemented to verify our location optimization model. A genetic algorithm was used to obtain optimal solutions, and the solutions were analyzed. Through establishing a location optimization model, a possible better solution to location problems may be obtained to help in implementing location selection for recycling centers.

scholarly journals Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers

2017 ◽  
Vol 9 (8) ◽  
pp. 1315 ◽  
Author(s):  
Dragan Pamučar ◽  
Ljubomir Gigović ◽  
Zoran Bajić ◽  
Miljojko Janošević
Keyword(s):  
Hybrid Model ◽  
Wind Farms ◽  
Location Selection ◽  
Selection For
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