用BPR系统化业务流程重新设计计划:评估框架

George Tsakalidis, Nikolaos Nousias, Michael A. Madas, Kostas Vergidis
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摘要

业务流程重新设计(BPR)已经成为组织内广泛接受的实践,用于交付更好的产品和服务,并确保可衡量的收益。尽管采用了业务流程再造,但它在很大程度上仍然是一个创造性过程的结果,而且在投资实施业务流程再造之前,缺乏评估其潜在影响的方法。这意味着BPR计划是基于“黑盒”通用选项进行选择的,这些选项没有明确地针对组织的文化、结构和现有过程进行定制。本文旨在通过引入基于设计科学研究过程(DSRP)的概念模型BPR:评估框架来解决这一差距。该框架旨在根据流程模型的可塑性和外部质量来评估流程再造能力。框架的可用性以以下方式呈现:(a)通过使用数据密集型工作流优化方法作为端到端范式的框架演示,以及(b)对文献中的15个业务流程模型进行业务流程再造能力评估,以更好地展示在应用业务流程再造之前省略不合格模型的好处。模型再设计能力的分类基于k-means算法的检验聚类分析方法。根据这些发现,相当多的过程模型被证明要么对重新设计启发式的应用过于限制,要么不具备重新设计所需的外部质量。该方法的贡献在于,该框架还可以扩展到将系统的业务流程再造应用于合格的业务流程提供商。该框架可以作为候选流程模型重新设计能力的可靠度量,并作为提高BPR有效性的系统方法的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematizing Business Process Redesign Initiatives with the BPR:Assessment Framework
Business process redesign (BPR) has emerged as a widely accepted practice within organizations for delivering better products and services and ensuring measurable benefits. Despite the adoption of BPR, it largely remains the result of a creative process and there is a lack of approaches for evaluating the potential impact of a BPR method before investing in its implementation. This means that BPR initiatives are selected based on ‘black-box’ generic options that are not explicitly tailored to the culture, structure, and existing processes of the organization. This paper aims to address this gap by introducing the BPR: Assessment Framework, a conceptual model based on Design Science Research Process (DSRP). The framework is intended to assess the BPR capacity of process models based on their plasticity and external quality. The usability of the framework is presented in the following manner: (a) through the demonstration of the framework using a data-intensive workflow optimization method as an end-to-end paradigm, and (b) the BPR capability assessment of 15 business process models from literature, to better demonstrate the benefits of omitting ineligible models prior to BPR application. The categorization of the redesign capability of models was based on a tested cluster analysis method using the k-means algorithm. Based on the findings, a considerable number of process models proved to be either overly constrained for the application of redesign heuristics or did not possess the required external quality to be redesigned. The contribution of the approach lies in the fact that the framework can also be extended to apply systematic BPR to eligible BPs. The framework can serve as a reliable measurement of the redesign capacity of candidate process models and as an essential part of a systematic methodology for increased BPR effectiveness.
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