posted on 2012-10-31, 14:26authored byNigel Shires
This thesis examines the use of distributed discrete-event simulation
techniques as part of an aid to the design of highly automated batch
manufacturing systems. The methodology and objectives of the design
of highly automated batch manufacturing systems are described and an
assessment is made of the use of modelling and simulation as part of
the method . Criteria are developed for a simulator used during the
. detail design stage.
The different approaches taken by existing simulation systems to
building and configuring simulation models and their use of particular
simulation techniques are described. Limitations on simulation models
due to the sequential processing of event-lists and activity scans are
identified in a review of the problems of simulation that current
existing distributed simulators have been designed to answer. The
advantages of concurrent and distributed computing and in particular,
a tightly-coupled multi-microprocessor computing engine for executing
the normally batch-processed computing tasks of simulation are
identified .
A novel approach to the distr~bution of the computational tasks in a
distributed simulation system is described and the operation of a
simulator built using this approach to simulate the operation of
highly automated batch manufacturing systems is also described.The question of whether such a distributed simulator of highly
automated batch manufacturing systems satisfies the criteria is
examined on the basis of an analysis of the operation of the
simulator. It is shown that a number of advantages in the areas of
level of detail, configuration, parallel processing and speed of
execution can be achieved through the use of distributed computing and
multi-processing techniques for simulation during the detail design
stage of highly automated batch manufacturing systems.
History
School
Mechanical, Electrical and Manufacturing Engineering