Manufacturing systems, regardless of their size, have to work with
scarce resources in dynamic environments. Managers are asked to
assign production facilities over time to parallel activities
respecting operational constraints and deadlines while keeping
resource costs as low as possible. Thus, classic scheduling
approaches are not adequate when (i) a task simultaneously requires
a set of different resources and (ii) a trade-off between different
objectives (like time, cost and workload balance) should be
reached. In such a case, more sophisticated models and algorithms
should be brought to the attention of managers and executives of
manufacturing companies.
Effective Resource Management in Manufacturing Systems aims to
provide robust methods for achieving effective resource allocation
and to solve related problems that occur daily and often generate
cost overruns, specifically focusing on problems like resource
levelling, sizing of machines and production layouts, cost
optimization in production planning and scheduling. This approach
is based on providing quantitative methods, covering both
mathematical programming and algorithms, leading to high quality
solutions for the analysed problems. Details of extensive
experimentation is provided for the proposed techniques to put them
in a practical perspective, so that, on the one hand, the reader
can reproduce them, and, on the other hand, it appears clear how
they can be implemented in real scenarios.
This book will be a valuable resource for postgraduate students
studying business, engineering or computer science. It will also be
of interest to researchers in the fore-mentioned areas.
General
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