Detail publikace

Screening Process Mining and Value Stream Techniques on Industrial Manufacturing Processes: Process Modelling and Bottleneck Analysis

RUDNITCKAIA, J. VENKATASCHALAM, H. ESSMANN, R. HRUŠKA, T. COLOMBO, A.

Originální název

Screening Process Mining and Value Stream Techniques on Industrial Manufacturing Processes: Process Modelling and Bottleneck Analysis

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

One major result of the Industrial Digitalization is the access to a large set of digitalized data and information, i.e. Big Data. The market of analytic tools offers a huge variety of algorithms and software to exploit big datasets. Implementing their advantages into one approach brings better results and empower possibilities for process analysis. Its application in the manufacturing industry requires a high level of effort and remains to be challenging due to product complexity, human-centric processes, and data quality. In this manuscript, the authors combine process mining and value streams methods for analyzing the data from the information management system, applying the approach to the data delivered by one specific manufacturing system. The manufacturing process to be examined is the process of assembling gas meters in the manufacture. This specific and important part of the whole supply-chain process was taken as suitable for the study due to almost full-automated line with data about each process activity of the value-stream in the information system. The paper applies process mining algorithms in discovering a descriptive process model that plays the main role as a basis for further analysis. At the same time, modern techniques of the bottleneck analysis are described, and two new comprehensible methods of bottlenecks detection (TimeLag and Confidence intervals methods), as well as their advantages, will be discussed. Achieved results can be subsequently used for other sources of big data and industrial-compliant Information Management Systems.

Klíčová slova

bottleneck analysis, manufacturing process, process mining, process modelling, information management system, value stream

Autoři

RUDNITCKAIA, J.; VENKATASCHALAM, H.; ESSMANN, R.; HRUŠKA, T.; COLOMBO, A.

Vydáno

16. 2. 2022

ISSN

2169-3536

Periodikum

IEEE Access

Ročník

2022

Číslo

10

Stát

Spojené státy americké

Strany od

24203

Strany do

24214

Strany počet

12

URL

https://ieeexplore.ieee.org/document/9715073

BibTex

@article{BUT177411,
  author="Julia {Rudnitckaia} and Hari Santosh {Venkataschalam} and Roland {Essmann} and Tomáš {Hruška} and Armando Walter {Colombo}",
  title="Screening Process Mining and Value Stream Techniques on Industrial Manufacturing Processes: Process Modelling and Bottleneck Analysis",
  journal="IEEE Access",
  year="2022",
  volume="2022",
  number="10",
  pages="24203--24214",
  doi="10.1109/ACCESS.2022.3152211",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9715073"
}