Generating multi-objective optimized configurable business process models

Andres Jimenez Ramirez, I. Barba, C. D. Valle, B. Weber
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引用次数: 3

Abstract

The manual specification of imperative business process (BP) models can be very complex and time-consuming, potentially leading to non-optimized models or even errors. To support process analysts in the definition of these models, a method for generating optimized configurable BP models from a constraint-based specification by considering multiple objectives is described. A constraint-based specification typically allows for several different ways of executing it leading to several enactment plans which can, however, vary greatly in respect to how well different performance objective functions can be achieved. We therefore automatically generate different plans and select the ones which fit best the objectives of the company. The generated plans are then merged into an optimized configurable BP model to support the model expert in choosing the most appropriate plan depending on the importance of each objective at configuration time.
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生成多目标优化的可配置业务流程模型
命令式业务流程(BP)模型的手动规范可能非常复杂且耗时,可能导致未优化的模型甚至错误。为了支持过程分析人员定义这些模型,描述了一种通过考虑多个目标,从基于约束的规范生成优化的可配置BP模型的方法。基于约束的规范通常允许几种不同的执行方式,从而导致几种制定计划,然而,这些计划在实现不同性能目标函数的程度方面可能会有很大差异。因此,我们自动生成不同的计划,并选择最适合公司目标的计划。然后将生成的计划合并到优化的可配置BP模型中,以支持模型专家在配置时根据每个目标的重要性选择最合适的计划。
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