It is the hope and expectation of many specialists in the area of linear programming that a major improvement in solution techniques for handling large-scale models with thousands of constraints will be developed in the near future. Although the present state of the art for solving linear programs is still...
Algorithms capable of automatically drawing Resource Planning and Management (RPM) network models from standard Linear Programming data files are developed. An RPM network is a unique graphical representation that is capable of representing both the primal and the dual model of a mathematical programming problem on a same network model....
This dissertation is an attempt at developing a method for the analysis and estimation of the effects of disruptions due to uncertainties. Such uncertainties may result from design changes and engineering drawing delays in large-scale, complex, research and development, or construction projects.
In order to provide management with a simple...
This thesis extends Wagner-Whitin's Planning Horizon Theorem
to discount situations in multiperiod multiple-item dynamic lot sizing
problems. Three heuristic techniques are developed using the Least
Unit Cost Method, Silver-Meal Method, and Inoue-Chang Method. The
three techniques are described and compared in terms of their effectiveness
in dealing with the dynamic...
A discrete multi-facility plant location algorithm developed by Basheer Khumawala is modified and applied to the location analysis of offices of the State of Oregon Health Facilities Licensing and Certification Section (HFLC). Choice of the algorithm is based upon a literature survey of available computational procedures which compares their relative...
Effects of stochastic variations of parameters in the planning
and design of a particleboard production system are studied. The
solution obtained from a linear deterministic optimization model is
compared against both the solution derived from the traditional
stochastic programming techniques and the distribution of optimal
objective function values obtained from...
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...
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,...