Revision as of 11:05, 15 May 2019 edit Drgwag (talk \| contribs) 52 edits m Replace "discrete series" with "(discrete) sequence", which is more in line with standard mathematics terminology. Notice that a sequence is a discrete (multi-)set by definition. ← Previous edit		Revision as of 14:46, 24 May 2019 edit undo Drgwag (talk \| contribs) 52 edits →Diagnosing process issues: Imrove the formulation/clarity of statements Next edit →
Line 74: ===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. Identifying ~~Only~~and ~~process~~removing ~~‘improvements’~~bottlenecks atallows ~~the~~improving ~~bottlenecks~~processes ~~will actually improve~~and the overall system. InFor ~~many~~instance, ~~organizations~~in manufacturing enterprises bottlenecks ~~become~~may be ~~hidden~~created by excess inventory, [[overproduction]], variability in processes and variability in routing or sequencing. By accurately documenting the system ~~inside~~with the help of 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 indicator]]s such as worker utilization, on-time delivery rate, scrap rate, cash cycles, and so on.

Discrete-event simulation: Difference between revisions