Optimal five-year planning using mixed-integer linear programming three models implemented for Naval Air Test Center.
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Author
Mavrikas, Christos Efthimios
Date
1979-03Advisor
Brown, Gerald G.
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Show full item recordAbstract
The application of Linear Programming (LP) models in
the resource allocation process of organizations with
workload partitioned in discrete projects was examined by
developing two integer and one mixed-integer, large-scale
LP models. These models have been implemented to seek
optimal five-year project plans for Naval-Air-Test-Center
(NATC) , involving a workforce numbered in hundreds and a
budget of millions of dollars.
In allocating resources, the optimal solution is the
solution which yields the 'best' value, or the most desirous
return to the organization; this return can also be called
the solution benefit. Solutions should also be feasible in
terms of the limitations on the availability of the resources
by location and by time.
MODEL-1 and MODEL-2 use a static workforce distribution
and MODEL-3 allows limited reallocation of personnel to
improve the solution; when reallocation is ordered, both
reduction in labor efficiency and a penalty in the project
benefit are introduced by MODEL-3. All three models have
been implemented successfully using real data from NATC. The
implementation is described and the solutions are compared
with the solution given by NATC without models. A proposal
is made to use the models in practice so that NATC can
achieve more optimal five-year plans and also to improve the
existing workforce distribution by location and by time.
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