Research Interests:
Research Interests:
Research Interests:
Research Interests:
Location Analysis in Practice.- Location Analysis in Banking: A New Methodology and Application for a Turkish Bank.- Location Modeling for Logistics Parks.- An Introduction to Industrial Forestry from a Location Perspective.- Layout... more
Location Analysis in Practice.- Location Analysis in Banking: A New Methodology and Application for a Turkish Bank.- Location Modeling for Logistics Parks.- An Introduction to Industrial Forestry from a Location Perspective.- Layout Planning Problems in Health Care.- Modeling the Potential for Critical Habitat.- Saving the Forest by Reducing Fire Severity: Selective Fuels Treatment Location and Scheduling.- Location Intelligent Sensors on a Transportation Network to Facilitate Emergency Response to Traffic Incidents.- Location Models for Preventive Care.- Modeling the Location of Retail Facilities: Application to the Postal Service.- Rural School Location and Student Allocation.- Fire Station Siting.- Location Vehicle Identification Sensors for Travel Time Information.- Shape and Balance in Police Districting.- Location and Sizing of Prisons and Inmate Allocation.- Vessel Location Modeling for Maritime Search and Rescue.- Military Applications of Location Analysis.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
International audienc
Research Interests:
Usually, when a rapid transit line is planned a less efficient system already partially covers the demand of the new line. Thus, when the rapid transit starts its regular services, the slow mode (e.g. bus lines) have to be cancelled or... more
Usually, when a rapid transit line is planned a less efficient system already partially covers the demand of the new line. Thus, when the rapid transit starts its regular services, the slow mode (e.g. bus lines) have to be cancelled or their routes modified. Usually this process is planned according to a sequential way. Firstly, the rapid transit line is designed taking into account private and public flows, and possibly surveys on mobility in order to predict the future utilization of the new infrastructure and/or other criteria. Then, in a second stage, the bus route network is redesigned. However, this sequential process can lead to a suboptimal solution, for which reason in this paper a cooperative model for rapid and slow transit network design is studied. The aim is to design simultaneously both networks and the objective is to maximize the number of passengers captured by both public modes against the private mode. We present a mathematical programming formulation and solve t...
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Applied Mathematics, Computer Science, Computational Complexity, Operations Management, Hub Location Problem, and 12 moreTabu Search, Queueing theory, Facility Location, Mathematical Optimization, Heuristic, Numerical Analysis and Computational Mathematics, Location Model, Congestion, Queue, Optimal location, Capacity constraint, and Queuing System
Research Interests:
ABSTRACT Location set covering models were first described in the early 1970s. In their simplest form, they minimize the number of facilities necessary to completely cover a set of customers in some given space, where covering means... more
ABSTRACT Location set covering models were first described in the early 1970s. In their simplest form, they minimize the number of facilities necessary to completely cover a set of customers in some given space, where covering means providing service within a predetermined distance. This paper considers extensions of the basic model that soften the covered/not covered dichotomy and replace it with gradual covering. The models discussed in this work include the quality of service as a criterion. The models are formulated and compared with each other with respect to their size and features. A small series of computational tests concludes the paper.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Mathematics, Applied Mathematics, Computer Science, Heuristics, Linear Programming, and 13 moreInteger Programming, Facility Location, Rewriting, Metaheuristic, Mathematical Optimization, Branch and Bound, Heuristic, Availability, Numerical Analysis and Computational Mathematics, Location Problem, LINEAR PROGRAM, Optimal Solution, and Metamodel
Research Interests:
â–º We select a subset of existing cell-phone towers to be fortified for survival after natural disasters. â–º Service loss is minimized for worst-case failure of one of the selected towers. â–º A real case in Chile post-2010-earthquake... more
â–º We select a subset of existing cell-phone towers to be fortified for survival after natural disasters. â–º Service loss is minimized for worst-case failure of one of the selected towers. â–º A real case in Chile post-2010-earthquake is analyzed. â–º Worst-case models perform better than coverage models.
Research Interests:
364 D. Serra et ai. / The maximum capture hierarchical location problem Several examples can be offered of firms in which servers are organized hierarchically and which compete to 'capture' the maximum market share. In the... more
364 D. Serra et ai. / The maximum capture hierarchical location problem Several examples can be offered of firms in which servers are organized hierarchically and which compete to 'capture' the maximum market share. In the banking sector, for instance, three hierarchical ...
Research Interests:
When dealing with the design of service networks, such as health and EMS services,banking or distributed ticket selling services, the location of service centers has a stronginfluence on the congestion at each of them, and consequently,... more
When dealing with the design of service networks, such as health and EMS services,banking or distributed ticket selling services, the location of service centers has a stronginfluence on the congestion at each of them, and consequently, on the quality of service. Inthis paper, several probabilistic maximal covering location-allocation with constrainedwaiting time for queue lenght are presented to consider service congestion.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
... Obreque, C. and Marianov, V. 2004. A procedure for designing hierarchical path-tree networks and finding the optimal locations of the extremes of the main path , Santiago, Chile: Department of Electrical Engineering, Pontificia... more
... Obreque, C. and Marianov, V. 2004. A procedure for designing hierarchical path-tree networks and finding the optimal locations of the extremes of the main path , Santiago, Chile: Department of Electrical Engineering, Pontificia Universidad Católica de Chile. ...