Part based decentralized information handling for process improvements along the supply chain

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Part based decentralized information handling for process improvements along the supply chain. / Schmidt, Matthias; Hartmann, Wiebke; Nyhuis, Peter.
Industrial Engineering and Engineering Management 2008. IEEE - Institute of Electrical and Electronics Engineers Inc., 2008. S. 1073-1077 (IEEM).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Schmidt, M, Hartmann, W & Nyhuis, P 2008, Part based decentralized information handling for process improvements along the supply chain. in Industrial Engineering and Engineering Management 2008. IEEM, IEEE - Institute of Electrical and Electronics Engineers Inc., S. 1073-1077, International Conference on Industrial Engineering and Engineering Management - 2008, Singapur, 08.12.08. https://doi.org/10.1109/IEEM.2008.4738035

APA

Schmidt, M., Hartmann, W., & Nyhuis, P. (2008). Part based decentralized information handling for process improvements along the supply chain. In Industrial Engineering and Engineering Management 2008 (S. 1073-1077). (IEEM). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEM.2008.4738035

Vancouver

Schmidt M, Hartmann W, Nyhuis P. Part based decentralized information handling for process improvements along the supply chain. in Industrial Engineering and Engineering Management 2008. IEEE - Institute of Electrical and Electronics Engineers Inc. 2008. S. 1073-1077. (IEEM). doi: 10.1109/IEEM.2008.4738035

Bibtex

@inbook{6778a867623a44c591150c24bb667775,
title = "Part based decentralized information handling for process improvements along the supply chain",
abstract = "{"}Gentelligence{\textregistered}{"} is a neologism which consists of the two words {"}genetic{"} and {"}intelligent{"}. Gentelligent {\textregistered} Parts are basically components which are able to save information. The special and specific property is that they have both the ability to save and store information and to handing it over to the next component generation. Lifecycle information is saved in a continuous process. Due to these characteristics, Gentelligent{\textregistered} Parts can serve as a decentralized Enterprise Information System (EIS). As a result, it is possible to identify extensive potential for improving logistic and technical processes arising along the product evolutionary process and during the usage phase. This article provides insight into both the principle of Gentelligent{\textregistered} Parts as well as the corresponding data structure and targeted process improvements.",
keywords = "Information processing and engineering, Intelligent systems, Supply chain management",
author = "Matthias Schmidt and Wiebke Hartmann and Peter Nyhuis",
year = "2008",
month = dec,
day = "1",
doi = "10.1109/IEEM.2008.4738035",
language = "English",
isbn = "978-1-4244-2629-4 ",
series = "IEEM",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "1073--1077",
booktitle = "Industrial Engineering and Engineering Management 2008",
address = "United States",
note = "International Conference on Industrial Engineering and Engineering Management - 2008, IEEM 2008 ; Conference date: 08-12-2008 Through 11-12-2008",
url = "https://www.tib.eu/en/search/id/TIBKAT%3A59962924X/IEEM-2008-the-IEEE-International-Conference-on/",

}

RIS

TY - CHAP

T1 - Part based decentralized information handling for process improvements along the supply chain

AU - Schmidt, Matthias

AU - Hartmann, Wiebke

AU - Nyhuis, Peter

PY - 2008/12/1

Y1 - 2008/12/1

N2 - "Gentelligence®" is a neologism which consists of the two words "genetic" and "intelligent". Gentelligent ® Parts are basically components which are able to save information. The special and specific property is that they have both the ability to save and store information and to handing it over to the next component generation. Lifecycle information is saved in a continuous process. Due to these characteristics, Gentelligent® Parts can serve as a decentralized Enterprise Information System (EIS). As a result, it is possible to identify extensive potential for improving logistic and technical processes arising along the product evolutionary process and during the usage phase. This article provides insight into both the principle of Gentelligent® Parts as well as the corresponding data structure and targeted process improvements.

AB - "Gentelligence®" is a neologism which consists of the two words "genetic" and "intelligent". Gentelligent ® Parts are basically components which are able to save information. The special and specific property is that they have both the ability to save and store information and to handing it over to the next component generation. Lifecycle information is saved in a continuous process. Due to these characteristics, Gentelligent® Parts can serve as a decentralized Enterprise Information System (EIS). As a result, it is possible to identify extensive potential for improving logistic and technical processes arising along the product evolutionary process and during the usage phase. This article provides insight into both the principle of Gentelligent® Parts as well as the corresponding data structure and targeted process improvements.

KW - Information processing and engineering

KW - Intelligent systems

KW - Supply chain management

UR - http://www.scopus.com/inward/record.url?scp=62949227657&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6c0d8bb4-9f6a-31a3-bfad-17d415ad65c4/

U2 - 10.1109/IEEM.2008.4738035

DO - 10.1109/IEEM.2008.4738035

M3 - Article in conference proceedings

AN - SCOPUS:62949227657

SN - 978-1-4244-2629-4

T3 - IEEM

SP - 1073

EP - 1077

BT - Industrial Engineering and Engineering Management 2008

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Industrial Engineering and Engineering Management - 2008

Y2 - 8 December 2008 through 11 December 2008

ER -

DOI