Data-driven business process management-based development of Industry 4.0 solutions

被引：26

作者：

Czyetko, Timea ^{[1
]}

Kummer, Alex ^{[1
]}

Ruppert, Tunas ^{[1
]}

Abonyi, Janos ^{[1
]}

机构：

[1] Univ Pannonia, Inst Chem & Proc Engn, Dept Proc Engn, MTA PE Lendulet Complex Syst Monitoring Res Grp, H-8200 Veszprem, Hungary

来源：

CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY | 2022年 / 36卷

关键词：

Business process management (BPM); Business process redesign (BPR); Industry 4.0 (14.0); Digital technology; Discrete event simulation; DESIGN SCIENCE; DIGITAL TWIN; BIG DATA; SYSTEMS; IMPLEMENTATION; MODEL; IOT;

D O I：

10.1016/j.cirpj.2021.12.002

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Business process management (BPM) supports the management and transformation of organizational operations. This paper provides a structured guideline for improving data-based process development within the BPM life cycle. We show how Industry 4.0-induced tools and models can be integrated within the BPM life cycle to achieve more efficient process excellence and evidence-based decision-making. The paper demonstrates how standards of machine learning (CRISP-ML(Q)), BPM, and tools of design science research can support the redesign phases of Industry 4.0 development. The proposed methodology is carried out on an assembly company, where the proposed improvement steps are investigated by simulation and evaluated by relevant key performance indicators. (C) 2021 CIRP.

引用

页码：117 / 132

页数：16

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