Page 250 - DCAP601_SIMULATION_AND_MODELING
P. 250

Simulation and Modelling



                      Notes
                                                     Figure 13.5:  Approaches  to  Discrete Event  Simulation




















                                    There are also three approaches to describing the discrete simulation, see the Diagram above
                                    [Pidd, 1992].
                                    1.   Event: This approach describes an instantaneous change, usually from a stop event to a
                                         start event. This is the most common one used, easy to understand and efficient and is
                                         acceptable to implement.
                                    2.   Activities: Represents duration. Essentially groups a number of events in order to describe
                                         an activity carried  out by  an entity e.g. a  machine loading.  This approach  is easy  to
                                         understand and to implement but is not efficient.

                                    3.   Process:  These  approach groups activities to  describe the life cycle  of an entity e.g. a
                                         machine. This is less common and more difficult to plan and implement, but is generally
                                         thought to be the most efficient.

                                    More Common Uses of DES

                                    1.   Diagnosing Process Issues: Simulation approaches are particularly well equipped to help
                                         users diagnose issues in complex environments. The Goal (Theory of Constraints) illustrates
                                         the importance of understanding bottlenecks in a system. Only process ‘improvements’ at
                                         the bottlenecks will actually improve the overall system. In many organizations bottlenecks
                                         become  hidden  by  excess  inventory,  overproduction,  variability  in  processes  and
                                         variability in routing  or sequencing.  By accurately documenting the  system inside  a
                                         simulation model it is possible to gain a bird’s eye view of the entire system.
                                         A working model of a system allows management to understand performance drivers. A
                                         simulation can be built to  include any  number of performance KPIs  such as:  worker
                                         utilization, on-time delivery rate, scrap rate, cash cycles, and so on.
                                    2.   Hospital Applications: An operating theater is generally shared between several surgical
                                         disciplines. Through better understanding the nature of these procedures it may be possible
                                         to increase the patient throughput. Example: If  a heart  surgery takes on average four
                                         hours, changing an operating room schedule from eight available hours to nine will not
                                         increase patient throughput. On the other hand, if a hernia procedure takes on average
                                         twenty minutes providing an extra hour may also not yield any increased throughput if
                                         the capacity and average time spent in the recovery room is not considered.
                                    3.   Custom Order Environments: Many systems show very different characteristics from day
                                         to day depending on the order mix. Many small orders may cause bottle-necks due to



            244                              LOVELY PROFESSIONAL UNIVERSITY
   245   246   247   248   249   250   251   252   253   254   255