bruce silver bpmn method and style pdf printer

Inputs and outputs for Tasks are similar to what is done in typical Lean process improvement/redesign projects. Error Event on a Subprocess boundary is triggered by an Error End Event in the Subprocess. Timer Event is determined by the duration parameter (in combination with the Activity's duration). Like all simulation parameters, they can be expressions, not just constants. Intermediate and Boundary Event simulation properties include probability of occurrence and time of occurrence. This is a much easier and more efficient way of setting up simulation runs and doing analysis. Our major target is business analysts who will be comfortable with the spread-sheet approach. Extensive use is made of spread-sheets both to prepare simulation inputs and work with the analysis. Most simulation tools are too focused on the resource bottleneck problem but not so useful (and too hard to use) for the much more common process structure problem, in which resources spend a small fraction of their time on process tasks. Not a resource schedule simulation engine, but an analysis engine that is much simpler to use but gives good results for a broad class of processes. It is aligned with Bruce Silver’s modeling methodology2.

We have developed a tool, the Process Analytica Performance Analyzer, which can do basic timeline analysis of a BPMN model. The difficulty of preparing satisfactorily detailed schedules, combined with the structural complexities introduced in particular by the event and looping structures in BPMN, requires a fresh look at the problem. Past efforts to use simulation focused on resource optimization have led to some significant successes when coupled with Workforce Management scheduling technology1, but that approach has not been particularly successful in making structural improvements in the actual processes. Shapiro, Global 360, USA Hartmann Genrich, GMD (retired), Germany INTRODUCTION We describe a new approach to process improvement based on the combined use of statistics and simulation to study the structural aspects of process models. Analytics for Performance Optimization of BPMN2.0 Business Processes Robert M.

Bruce silver bpmn method and style pdf printer