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...
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...
This thesis presents an introduction to Marketing Research concepts,
relates Operations Research to Marketing Research and discusses
the limitations of each. An Information Theory approach based
on Shannon's fundamental theorems and extended by Kunisawa is
applied to one-factor and two-factor marketing problems.
The objective of one-factor information channel models is...
Pattern recognition techniques and their application to a
consumer behavior study are presented. The Local Majority Method
(LOMAME) utilizes a set of prototypes and corrective factors which
undergo a training cycle before being utilized as pattern classifiers.
Its advantages over the Minimum-Distance Method and the Fix
and Hodges Method are...
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,...
Branch-and-Bound algorithms are developed to optimally
schedule static single- and multi-stage job-shop productions. The 'corollary' of the study is to experimentally verify the effectiveness of
branch-and-bound algorithms to overcome the "curse of dimensionality" due to the combinatorial nature of job-shop scheduling problems.
The static scheduling problem contemplated in this dissertation...
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...
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....
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...
This dissertation treats information theory and its applications
to the general area of decision making. Specifically, three areas are
covered; (1) information theory applied to Bayesian analysis,
(2) estimation using multi-factor information channel models, and
(3) information theory applied to Markov chain analysis.
A major portion of this dissertation concerns...
An analytical tool to assist municipal planners in evaluating
alternative planning strategies is proposed. Schlager's Land Use
Plan Design Model provides the linear formulation of the problem,
Goal Programming is used to create alternatives, and Brown and Kirby's
Measures of Urban Performance serve to evaluate the alternatives.
Resource Planning and...
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...
Resource Planning and Management (RPM) techniques have been
applied in this study of a product-mix and production scheduling linear
programming problem of a cooperating food processor.
Resource Planning and Management is a graphical portrayal of
the interactions between related resources and activities within a
system. In this study linear RPM...
A system's analysis study utilizing Resource Planning and
Management System network methodology, integer programming, and
goal programming is presented. The integrated approach is developed
and applied to the rare metals production process of the Oregon
Metallurgical Corporation (OREMET). As defined by OREMET
management, optimization of the production process required the...
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)...
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...
Line balancing is concerned with the optimal assignment of work elements to individual operators in an assembly line of a mass producing system. This paper summarizes the assembly line balancing terminology, the computational methods, and objective functions applicable to a wide variety of assembly lines. Single and mixed-model situations for...
Line balancing is concerned with the optimal assignment of work
elements to individual operators in an assembly tine of a mass producing
system.
This paper summarizes the assembly line balancing terminology,
the computational methods, and objective functions applicable to a wide
variety of assembly lines. Single and mixed-model situations for...
Some of the problems concerning the present educational programs
which confront the institutions of higher education are, reviewed.
Resources allocation is at the root of the issue.
Budgeting orientations are presented with special emphasis on
Planning Programming Budgeting Systems. PPBS is still in its
developmental stage in the field of...
Resource Planning and Management (RPM) network is a graphical
representation of input-output relationships among activities and
resources within a system. Both resources (events) and activities
(decisions) are explicitly represented as nodes in all RPM networks.
Depending upon the relationships being depicted, RPM networks can
be classified into Relational (R), Precedence...