| Summary: | 碩士 === 國立交通大學 === 工業工程研究所 === 83 === Due to the increasing complexity of modern engineering systems,
the concept of reliability has become a very important factor
in the overall system design. Redundancy allocation is a design
to improve reliability for systems. In many practical
situations, redundancy allocation is complicated because of
mutually conflicting goals. Besides, the decision variables are
all integer values and the objective functions are nonlinear;
that is, the problem belongs to the class of the NP-hard
problems. The volume of computation required for an optimal
solution increasing exponentially with the number of decision
variables and constraints. In this study, we propose a model
for multiple criteric redundancy allocation model with maximum
reliability, minimum cost and weight. The method is based on
branch & bound by considering the monotinicity in the objective
functions and in the constraints to solve efficiently all
feasible solutions, and solutions, and then we use the concept
of Pareto optimal solutions and TOPSIS technique to solve the
final compromise solution.
|
|---|
