Design-time Process Optimization through Optimization Patterns and Process Model Matching
The goal of process design is the construction of a process model that is a priori optimal w.r.t. the goal(s) of the business owning the process. Process design is therefore a major factor in determining the process performance and ultimately the success of a business. Despite this importance, the designed process is often less than optimal. This is due to two major challenges: First, since the design is an a priori ability, no actual execution data is available to provide the foundations for design decisions. Second, since modeling decision support is typically basic at best, the quality of the design largely depends on the ability of business analysts to make the right design choices. To address these challenges, we present in this paper our deep Business Optimization Platform that enables (semi-) automated process optimization during process design based on actual execution data. Our platform achieves this task by matching new processes to existing processes stored in a repository based on similarity metrics and by using a set of formalized bestpractice process optimization patterns.
Business Process Design Process Model Matching Business Process Analytics Business Process Management Business Process Optimization
Florian Niedermann Sylvia Radeschütz Bernhard Mitschang
Institute of Parallel and Distributed Systems University of Stuttgart 70569 Stuttgart, Germany
国际会议
上海
英文
48-55
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）