A multi-phase methodology is proposed as an aid to
resource planning and management activities in a high
technology company faced with an uncertain marketing
future. An attempt is made to incorporate both quantifiable
and non-quantifiable factors.
The problem analysis phase of the proposed methodology
employs Resource Planning and Management (RPM)...
A Resource Planning and Management System (RPMS) and Goal
Programming algorithm are integrated into a tool for optimization of
resource allocation in university academic departments. The integrated
approach is then applied to the management models of the
Industrial and General Engineering Department at Oregon State
University and of the Industrial...
The determination of the number and locations of optimal supply
points in centralized distribution systems is considered from both
theoretical and institutional aspects.
The Euclidean distance problems that typify the theoretical
school of location search are discussed and seven different solution
techniques are investigated: the Torricelli, linear programming,
exhaustive search,...
The viability of incorporating optimization within budgeting
methodologies is examined.
Resource Planning and Management System and optimization are
proposed as tools to enhance the planning and control functions of the
budgeting process. Three hypotheses are proposed: (1) Integer
Programming, Integer Goal Programming and Dynamic Programming
can be substituted in place...
This thesis presents a linear programming package that uses an
algorithm and data storage method efficient enough to solve a medium
sized linear programming problem (250 variables and 100 constraints)
on a minicomputer with small core memory space (4000 bytes).
In this routine the problem is formulated by the use...