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Stochastic Server Location Problem ( SSLP ) We consider a set of customer buildings in a metropolitan area for which a service provider is interested
Stochastic Server Location Problem SSLP
We consider a set of customer buildings in a metropolitan area for which a service provider
is interested in installing optical fibers and switching equipment in the most profitable man
ner. Due to the uncertainty regarding the customer base for high speed services, telecommu
nication providers often adopt a very conservative approach to capital investment, leading
to potential losses in revenue. Such problems are common in practice and can be formulated
as the SSLP
The essence of the SSLP may be described as follows. Suppose that we place a server
at location jinJ where is the set of possible server locations. The fixed cost of locating
a server at location jinJ is A server can provide enough capacity to serve up to
amount of resource to clients. There is also a shortage cost penalty for each unit of
demand that remains unserved among the clients assigned to server As far as operational
considerations are concerned, we allow only one server to be installed at each location and
each client can only be served by one server.
The revenue generated by serving client iinI from location jinJ, is denoted where
is the set of clients. If client is served by a server at location it uses units of resource
from the server. However, we know that some clients may not always exist at a given time,
that is presence of clients is subject to uncertainty. Let be the set of all possible scenarios
and be the probability associated with scenario Also let if client is present
in scenario and otherwise. Note that for a given scenario if and the client
is assigned to a server located at client i has a demand of from the server located at
If then the client has no demand for scenario
Note that we first decide locations of servers, then observe existing customers and finally
decide on clientserver assignments.
SSLP is to choose locations of servers and clientserver assignments that minimize the
total expected operating cost subject to the given constraints.
Construct a linear model to solve SSLP and explain the statements of constraints clearly.
Define your variables indicating that whether they are first or second stage variables.
What to hand in:
In a pdf document:
a List the group members names and IDs.
b Mathematical formulation. Explanation of parameters and decision variables, objec
tive function and constraints.
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