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...
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...
The maximum principle developed by the Russian mathematician,
L.S. Pontryagin is considered to be one of the most significant
contributions to the recent advances in mathematical optimization
techniques.
Unfortunately, most of the published literature on the application
of the maximum principle is in the field of control system design,
and...
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,...
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...
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...
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 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...
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...
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...
The main objective of this thesis is to investigate the microprocessor's
potentials to improve the productivity of Industrial
Engineers engaged in work design and measurement. More exactly, the
following four hypotheses were proposed and investigated:
(1) A Universal Time Data (UTD) structure could be used to
accommodate a variety of...
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...
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...
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....
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...
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)...
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...
A new method is developed for solving linear optimization
problems based on the RPM network modeling technique which represents
the primal and the corresponding dual models simultaneously
upon a single graph. The network structure is used to eliminate
the need for explicit logical variables and to provide a graphic
tool...
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...
A special case of a parallel multiprocessor scheduling (MP) problem
is investigated. A set of jobs with a known process time and a.resource
requirement is scheduled on machines controlled by processors,and
the total changeover cost between jobs is to be minimized. Each processor
may control up to two machines and...