Digitalized value stream mapping: Review and outlook

Julia Horsthofer-Rauch; Marek Schumann; Michael Milde; Susanne Vernim; Gunther Reinhart

doi:10.1016/j.procir.2022.09.079

Digitalized value stream mapping: Review and outlook

Julia Horsthofer-Rauch, Marek Schumann, Michael Milde, Susanne Vernim, Gunther Reinhart

Chair of Industrial Management and Assembly Technologies

Technical University of Munich

Research output: Contribution to journal › Conference article › peer-review

17 Scopus citations

Abstract

Value stream mapping (VSM) is a well-established method for analyzing production processes, material flow and information flow. Despite extensive benefits, conducting VSM manually is becoming inefficient and ineffective due to increasing production and product complexity. Concepts for digitally analyzing value streams have emerged addressing the issues of manual VSM. This paper aims to review existing scientific approaches concerning digitalized VSM in the context of manufacturing. The approaches are examined with regard to their practicality in the industrial context. Furthermore, the potential of employing process mining methods for digitalized VSM is discussed.

Original language	English
Pages (from-to)	244-249
Number of pages	6
Journal	Procedia CIRP
Volume	112
DOIs	https://doi.org/10.1016/j.procir.2022.09.079
State	Published - 2022
Event	15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 - Naples, Italy Duration: 14 Jul 2021 → 16 Jul 2021

Keywords

Process mining
Review
Value stream mapping

Access to Document

10.1016/j.procir.2022.09.079

Cite this

@article{f715d6f6164b4f1a9bc0990f3a1215ef,

title = "Digitalized value stream mapping: Review and outlook",

abstract = "Value stream mapping (VSM) is a well-established method for analyzing production processes, material flow and information flow. Despite extensive benefits, conducting VSM manually is becoming inefficient and ineffective due to increasing production and product complexity. Concepts for digitally analyzing value streams have emerged addressing the issues of manual VSM. This paper aims to review existing scientific approaches concerning digitalized VSM in the context of manufacturing. The approaches are examined with regard to their practicality in the industrial context. Furthermore, the potential of employing process mining methods for digitalized VSM is discussed.",

keywords = "Process mining, Review, Value stream mapping",

author = "Julia Horsthofer-Rauch and Marek Schumann and Michael Milde and Susanne Vernim and Gunther Reinhart",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).; 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021 ; Conference date: 14-07-2021 Through 16-07-2021",

year = "2022",

doi = "10.1016/j.procir.2022.09.079",

language = "English",

volume = "112",

pages = "244--249",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Digitalized value stream mapping

T2 - 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

AU - Horsthofer-Rauch, Julia

AU - Schumann, Marek

AU - Milde, Michael

AU - Vernim, Susanne

AU - Reinhart, Gunther

PY - 2022

Y1 - 2022

N2 - Value stream mapping (VSM) is a well-established method for analyzing production processes, material flow and information flow. Despite extensive benefits, conducting VSM manually is becoming inefficient and ineffective due to increasing production and product complexity. Concepts for digitally analyzing value streams have emerged addressing the issues of manual VSM. This paper aims to review existing scientific approaches concerning digitalized VSM in the context of manufacturing. The approaches are examined with regard to their practicality in the industrial context. Furthermore, the potential of employing process mining methods for digitalized VSM is discussed.

AB - Value stream mapping (VSM) is a well-established method for analyzing production processes, material flow and information flow. Despite extensive benefits, conducting VSM manually is becoming inefficient and ineffective due to increasing production and product complexity. Concepts for digitally analyzing value streams have emerged addressing the issues of manual VSM. This paper aims to review existing scientific approaches concerning digitalized VSM in the context of manufacturing. The approaches are examined with regard to their practicality in the industrial context. Furthermore, the potential of employing process mining methods for digitalized VSM is discussed.

KW - Process mining

KW - Review

KW - Value stream mapping

UR - http://www.scopus.com/inward/record.url?scp=85142623152&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2022.09.079

DO - 10.1016/j.procir.2022.09.079

M3 - Conference article

AN - SCOPUS:85142623152

SN - 2212-8271

VL - 112

SP - 244

EP - 249

JO - Procedia CIRP

JF - Procedia CIRP

Y2 - 14 July 2021 through 16 July 2021

ER -

Digitalized value stream mapping: Review and outlook

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this