Uncertainty measurement of a configurable business process

IF 1.6 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Systems Engineering Pub Date : 2022-12-12 DOI:10.1002/sys.21650

Malak Saidi, Anis Tissaoui, D. Benslimane, S. Faiz

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引用次数: 0

Abstract

Today, the economic crisis is putting enormous pressure on most organizations. It evolves in a crucial competitive environment with a multiplication of production cycles and implementation on the market. Due to this dynamism, organizations must be scalable and agile by adopting an approach that aims to make the process model of a given organization reusable. Indeed, according to the new paradigm which is called “Design by reuse” the models of configurable processes, gain recently in importance since these models have the capacity to represent explicitly the common parts and variables of identical processes in a customizable model. These configurable process which group several execution choices through a variation point called configurable connector will present an uncertainty related to the execution (or not) of the conditional tasks in a process model. In this paper, we propose a measure based on Shannon's entropy in order to model the uncertainty of the process at design time to guide configurable business process designers and analysts in developing and improving processes to be more predictable, less complex, and more understandable.

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可配置业务流程的不确定性测量

如今，经济危机给大多数组织带来了巨大压力。它在一个关键的竞争环境中发展，生产周期成倍增加，并在市场上实施。由于这种动态性，组织必须通过采用一种旨在使给定组织的流程模型可重用的方法来实现可扩展性和敏捷性。事实上，根据被称为“重用设计”的新范式，可配置流程的模型最近变得越来越重要，因为这些模型能够在可定制的模型中明确表示相同流程的公共部分和变量。这些可配置流程通过一个称为可配置连接器的变化点将几个执行选项分组，这将呈现与流程模型中条件任务的执行（或不执行）相关的不确定性。在本文中，我们提出了一种基于Shannon熵的度量方法，以便在设计时对流程的不确定性进行建模，以指导可配置的业务流程设计师和分析师开发和改进流程，使其更可预测、更不复杂、更易于理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Systems Engineering 工程技术-工程：工业

CiteScore

5.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.