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Constrained optimization is a challenging branch of operations
research that aims to create a model which has a wide range of
applications in the supply chain, telecommunications and medical
fields. As the problem structure is split into two main components,
the objective is to accomplish the feasible set framed by the
system constraints. The aim of this book is expose optimization
problems that can be expressed as graphs, by detailing, for each
studied problem, the set of nodes and the set of edges. This graph
modeling is an incentive for designing a platform that integrates
all optimization components in order to output the best solution
regarding the parameters' tuning. The authors propose in their
analysis, for optimization problems, to provide their graphical
modeling and mathematical formulation and expose some of their
variants. As a solution approaches, an optimizer can be the most
promising direction for limited-size instances. For large problem
instances, approximate algorithms are the most appropriate way for
generating high quality solutions. The authors thus propose, for
each studied problem, a greedy algorithm as a problem-specific
heuristic and a genetic algorithm as a metaheuristic.
Supply chain management is a key topic for a large variety of
strategic decision problems. It is essential in making efficient
decisions related to the management of inventory and the delivery
of final products to customers. The focus of this book is the
understanding of the supply chain taxonomy, the different levels of
decision and the impact of one level on another depending on the
modeling of the addressed objectives. The authors explore the
potential problems that can be addressed within the supply chain,
such as the inventory, the transportation and issues of holding,
and find applications in numerous fields of study, from cloud
computing and networking through to industrial sciences. The reader
can find each issue described and its positioning in the supply
chain determined. A computer science framework is also developed to
show how the use of electronic platforms can aid in the handling of
these potential problems.
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