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The past two decades have seen a great deal of research into the stochastic modelling of production, manufacturing, and inventory systems for the purpose of improving their performance. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques. The author has aimed to strike a balance between theoretical issues and the practical aspects of modelling manufacturing systems. It is based on graduate courses given to operations research and industrial engineering students and includes numerous examples and exercises.
Manufacturing industries are devoted to producing high-quality
products in the most economical and timely manner. Quality,
economics, and time not only indicate the customer-satisfaction
level, but also measure the manufacturing per formance of a
company. Today's manufacturing environments are becoming more and
more complex, flexible, and information-intensive. Companies invest
into the information technologies such as computers, communication
networks, sensors, actuators, and other equipment that give them an
abundance of information about their materials and resources. In
the face of global competition, a manufacturing company's survival
is becoming more dependent on how best this influx of in formation
is utilized. Consequently, there evolves a great need for
sophisticated tools of performance analysis that use this
information to help decision makers in choosing the right course of
action. These tools will have the capability of data analysis,
modeling, computer simulation, and optimization for use in
designing products and processes. International competition also
has had its impact on manufacturing education and the government's
support of it in the US. We see more courses offered in this area
in industrial engineering and manufacturing systems engineering
departments, operations research programs, and business schools. In
fact, we see an increasing number of manufacturing systems
engineering departments and manufacturing research centers in
universities not only in the US but also in Europe, Japan, and many
developing countries."
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