Capacitated facility location/network design problems
By S. Melkote, Mark S. Daskin. European Journal of Operational Research, 2001
302 citations recorded by the source corpus.
Subfields: Building and Construction, Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/5c5adee3c38954c52d6eb15dd79c983373ad473b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Francisco Saldanha-da-Gama
- Stefan Nickel
- M. Teresa Melo
- Elisa Gebennini
- Riccardo Manzini
- Michael C. Georgiadis
- Pantelis Longinidis
- Saman Hassanzadeh Amin
In Industrial and Manufacturing Engineering
- C. Kahraman
- Francisco Saldanha-da-Gama
- Stefan Nickel
- M. Teresa Melo
- Elisa Gebennini
- Riccardo Manzini
In Organizational Behavior and Human Resource Management
- C. Kahraman
- Stefan Nickel
- Francisco Saldanha-da-Gama
- Ibrahim Dogan
- Da Ruan
- M. Teresa Melo
- Elisa Gebennini
- Riccardo Manzini
Citations in the corpus
- Fuzzy group decision-making for facility location selection (2003, background): “The other conventional approaches to location selection include heuristics [5,31], integer programming [37], dynamic programming [12], nonlinear programming [39], multi-objective goal programming [2], nonconvex programming [11], quadratic programming [20], analog approach [1], analytic hierarchy pro”
- A multi-objective optimization for green supply chain network design (2011, background): “On the other hand, the supply chain network design problem is usually modeled as a single objective problem [20,30].”
- Facility location and supply chain management - A review (2009, background): “[74] [77] [79] [80] [82] [84] [85] [86] [87] [92] [95]”
- Optimization models for the dynamic facility location and allocation problem (2008, background): “Melkote and Daskin ( 2001 ) introduce a combined facility location/network design problem in which facilities have constraining capacities and the network topology is determined endogenously.”