Abstract
This paper provides a general introduction to the simulation technique and the simulation language SLAM II. The use of simulation modelling and in particular SLAM II is demonstrated by way of an illustrative example consisting of the building and manipulation of a simulation model of a materials handling subsystem of a beer brewing and packaging plant. The purpose of the model is to investigate the influence of the number of loading and unloading docks on various measures of system performance.
Highlights
Technological development and the ever-increasing demand for goods and services in an industrialized society have resulted in the adoption of manufacturing, commercial and management systems which continue to grow in size and complexity
The necessity for effective and efficient system design and decision making is apparent as is the need for procedures and techniques to support the systems analyst
The increasing availability of relatively low cost computer hardware and especially the development of specialized. easy to use, but powerful and flexible simulation languages have enhanced the feasibility of using simulation over other modelling techniques to such an extent that it may be the preferred approach in the majority of instances
Summary
Technological development and the ever-increasing demand for goods and services in an industrialized society have resulted in the adoption of manufacturing, commercial and management systems which continue to grow in size and complexity. The second subsystem of SLAM II, representing the EVENT world view, consists of a number of user-callable FORTRAN support routines. Each of these routines performs a basic, often repeated function necessary in event oriented simulation models such as random number generation, event scheduling, and file manipulation. The third subsystem of SLAM II, representing the CONTINUOUS world view, consists of a number of user-callable FORTRAN support routines Using these routines, together with user-generated FORTRAN code a continuous simulation model, which often consists of a system of differential or difference equations, may be built and manipulated quite and effectively.
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