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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 J is the set of possible server locations. The fixed cost of locating
a server at location jinJ is cj. A server can provide enough capacity to serve up to u
amount of resource to clients. There is also a shortage cost (penalty)qj0 for each unit of
demand that remains unserved among the clients assigned to server j. 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 qij where I
is the set of clients. If client i is served by a server at location j, it uses dij 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 S be the set of all possible scenarios
and ps be the probability associated with scenario sinS. Also let his=1 if client i is present
in scenario sinS and 0, otherwise. Note that for a given scenario s, if his=1 and the client
i is assigned to a server located at j, client i has a demand of dij from the server located at
j. If his=0, then the client has no demand for scenario sinS.
Note that we first decide locations of servers, then observe existing customers and finally
decide on client-server assignments.
SSLP is to choose locations of servers and client-server 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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