Model-based framework for lean information logistics in digital production

Frederic Meister; Pascal Vogl; Johannes Schilp; Andrea Hohmann; Rüdiger Daub

doi:10.1016/j.procir.2023.06.015

Model-based framework for lean information logistics in digital production

Frederic Meister
, Pascal Vogl
, Johannes Schilp
, Andrea Hohmann
, Rüdiger Daub

Chair of Production Technology and Energy Storage Systems

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

2 Scopus citations

Abstract

Shortening product lifecycles and intensifying individualization challenge companies to delivery products on time and to customerś needs. To enhance efficiency in production digitization counts as mean to reach performance targets. An integrated part for achieving the logistic goals describes the effect of digital technologies on the information flow between and within processes of order fulfillment. Next to modeling information flow, key performance indicator are required for being able to retrace and quantify the effect of digital technologies. Hence, this paper describes a framework that integrates key performance indicators for information flow into a modeling approach to improve digital production processes.

Original language	English
Pages (from-to)	80-85
Number of pages	6
Journal	Procedia CIRP
Volume	118
DOIs	https://doi.org/10.1016/j.procir.2023.06.015
State	Published - 2023
Event	16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022 - Naples, Italy Duration: 13 Jul 2022 → 15 Jul 2022

Keywords

BPMN 2.0
Information logistics
digital technologies
key performance indicators

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10.1016/j.procir.2023.06.015

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title = "Model-based framework for lean information logistics in digital production",

abstract = "Shortening product lifecycles and intensifying individualization challenge companies to delivery products on time and to customer{\'s} needs. To enhance efficiency in production digitization counts as mean to reach performance targets. An integrated part for achieving the logistic goals describes the effect of digital technologies on the information flow between and within processes of order fulfillment. Next to modeling information flow, key performance indicator are required for being able to retrace and quantify the effect of digital technologies. Hence, this paper describes a framework that integrates key performance indicators for information flow into a modeling approach to improve digital production processes.",

keywords = "BPMN 2.0, Information logistics, digital technologies, key performance indicators",

author = "Frederic Meister and Pascal Vogl and Johannes Schilp and Andrea Hohmann and R{\"u}diger Daub",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.. All rights reserved.; 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022 ; Conference date: 13-07-2022 Through 15-07-2022",

year = "2023",

doi = "10.1016/j.procir.2023.06.015",

language = "English",

volume = "118",

pages = "80--85",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Model-based framework for lean information logistics in digital production

AU - Meister, Frederic

AU - Vogl, Pascal

AU - Schilp, Johannes

AU - Hohmann, Andrea

AU - Daub, Rüdiger

PY - 2023

Y1 - 2023

N2 - Shortening product lifecycles and intensifying individualization challenge companies to delivery products on time and to customerś needs. To enhance efficiency in production digitization counts as mean to reach performance targets. An integrated part for achieving the logistic goals describes the effect of digital technologies on the information flow between and within processes of order fulfillment. Next to modeling information flow, key performance indicator are required for being able to retrace and quantify the effect of digital technologies. Hence, this paper describes a framework that integrates key performance indicators for information flow into a modeling approach to improve digital production processes.

AB - Shortening product lifecycles and intensifying individualization challenge companies to delivery products on time and to customerś needs. To enhance efficiency in production digitization counts as mean to reach performance targets. An integrated part for achieving the logistic goals describes the effect of digital technologies on the information flow between and within processes of order fulfillment. Next to modeling information flow, key performance indicator are required for being able to retrace and quantify the effect of digital technologies. Hence, this paper describes a framework that integrates key performance indicators for information flow into a modeling approach to improve digital production processes.

KW - BPMN 2.0

KW - Information logistics

KW - digital technologies

KW - key performance indicators

UR - https://www.scopus.com/pages/publications/85169800031

U2 - 10.1016/j.procir.2023.06.015

DO - 10.1016/j.procir.2023.06.015

M3 - Conference article

AN - SCOPUS:85169800031

SN - 2212-8271

VL - 118

SP - 80

EP - 85

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022

Y2 - 13 July 2022 through 15 July 2022

ER -

Model-based framework for lean information logistics in digital production

Abstract

Keywords

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