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Performance Evaluation of Industrial Systems - Discrete Event Simulation in Using Excel/VBA, Second Edition (Hardcover, 2nd edition)
Loot Price: R4,633
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Performance Evaluation of Industrial Systems - Discrete Event Simulation in Using Excel/VBA, Second Edition (Hardcover, 2nd edition)
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Basic approaches to discrete simulation have been process
simulation languages (e.g., GPSS) and event-scheduling type (e.g.,
SIMSCRIPT). The trade-offs are that event-scheduling languages
offer more modeling flexibility and process-oriented languages are
more intuitive to the user. With these considerations in mind,
authors David Elizandro and Hamdy Taha embarked on the development
of a new discrete simulation environment that is easy to use, yet
flexible enough to model complex production systems. They
introduced this environment, Design Environment for Event Driven
Simulation (DEEDS), in Simulation of Industrial Systems: Discrete
Event Simulation in Using Excel/VBA. The DEEDS environment is
itself an Excel/VBA add-in. Based on this foundation, the second
edition, now titled Performance Evaluation of Industrial Systems:
Discrete Event Simulation in Using Excel/VBA incorporates the use
of discrete simulation to statistically analyze a system and render
the most efficient time sequences, designs, upgrades, and
operations. This updated edition includes new visualization
graphics for DEEDS software, improvements in the optimization of
the simulation algorithms, a new chapter on queuing models, and an
Excel 2007 version of the DEEDS software. Organized into three
parts, the book presents concepts of discrete simulation, covers
DEEDS, and discusses a variety of applications using DEEDS. The
flexibility of DEEDS makes it a great tool for students or novices
to learn concepts of discrete simulation and this book can form the
basis of an introductory undergraduate course on simulation. The
expanded depth of coverage in the second edition gives it a
richness other introductory texts do not have and provides
practitioners a reference for their simulation projects. It may
also be used as a research tool by faculty and graduate students
who are interested in "optimizing" production systems.
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