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---+ Facility Location Problems Facility location problems are a classical example of the use of [[MasterSlaveConstraints][master-slave constraints]]. The following definition of the general facility location problem is from [[https://people.brunel.ac.uk/~mastjjb/jeb/or/facloc.html][J. E. Beasley's OR-Notes]]. <blockquote> The general facility location problem is: given a set of facility locations and a set of customers who are served from the facilities then: * which facilities should be used; * which customers should be served from which facilities so as to minimise the total cost of serving all the customers. </blockquote> Given the set of facilities %${\cal F}$% and the set of customers %${\cal C}$%, we can define binary (0-1) variables: 1 %$z_f$% = 1 if facility %$f$% is used, 0 otherwise; 2 %$y_{fc}$% = 1 if facility %$f$% serves customer %$c$%, 0 otherwise. Now the following master-slave constraint ensures that facility %$f$% only serves customers if it is used: %BEGINLATEX{label="eq:facility"}% \[ \sum_{c \in {\cal C}} y_{fc} \leq |{\cal C}| z_f, f \in {\cal F} \] %ENDLATEX% The decision variables, objective function and constraints vary depending on the problem, but similar master-slave constraints are always present in facility location problems. We will not delve into it here, but a "tighter" formulation would use the following constraints instead of %REFLATEX{eq:facility}%: %\[ y_{fc} \leq z_f, f \in {\cal F}, c \in {\cal C} \]% ---++ Facility Location Case Studies %SEARCH{ "[O]perationsResearchTopics.*value\=.*[F]acilityLocation" type="regex" casesensitive="on" nosearch="on" }% -- Main.TWikiAdminGroup - 22 Apr 2008
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Topic revision: r3 - 2018-11-23
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