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...
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 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,...
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...
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...
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...
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 overall objective of this research project was to evaluate
the metabolism of benzo(a)pyrene (BaP) by the European flat oyster
(Ostrea edulis)-bacteria system. Individual oysters exist in nature
as "systems" with commensal microorganisms and should be recognized
as such when the metabolism of a specific environmental contaminant
is being studied....