A solution for information management in logistics operations of modern manufacturing chains

Elisabeth Ilie-Zudor; Zsolt Kemény; Anikó Ekárt; Christopher D. Buckingham; László Monostori

doi:10.1016/j.procir.2014.10.047

A solution for information management in logistics operations of modern manufacturing chains

Elisabeth Ilie-Zudor^*
, Zsolt Kemény
, Anikó Ekárt
, Christopher D. Buckingham
, László Monostori

^*Corresponding author for this work

Computer Science Research Group

Aston University
Hungarian Academy of Sciences

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

232 Downloads (Pure)

Abstract

One dominant feature of the modern manufacturing chains is the movement of goods. Manufacturing companies would remain an unprofitable investment if the supplies/logistics of raw materials, semi-finished products or final goods are not handled in an effective way. Both levels of a modern manufacturing chain-actual production and logistics-are characterized by continuous data creation at a much faster rate than they can be meaningfully analyzed and acted upon manually. Often, instant and reliable decisions need to be taken based on huge, previously inconceivable amounts of heterogeneous, contradictory or incomplete data. The paper will highlight aspects of information flows related to business process data visibility and observability in modern manufacturing networks. An information management platform developed in the framework of the EU FP7 project ADVANCE will be presented.

Original language	English
Pages (from-to)	337-344
Number of pages	8
Journal	Procedia CIRP
Volume	25
Early online date	10 Dec 2014
DOIs	https://doi.org/10.1016/j.procir.2014.10.047
Publication status	Published - 2014
Event	8th international conference on Digital Enterprise Technology - Stuttgart, Germany Duration: 25 Mar 2014 → 28 Mar 2014

Bibliographical note

8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution.

© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Keywords

big data
becision support
information management

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10.1016/j.procir.2014.10.047

Information management in logistics operations of modern manufacturing chains
© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Final published version, 634 KBLicence: CC BY-NC-ND 3.0

Cite this

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title = "A solution for information management in logistics operations of modern manufacturing chains",

abstract = "One dominant feature of the modern manufacturing chains is the movement of goods. Manufacturing companies would remain an unprofitable investment if the supplies/logistics of raw materials, semi-finished products or final goods are not handled in an effective way. Both levels of a modern manufacturing chain-actual production and logistics-are characterized by continuous data creation at a much faster rate than they can be meaningfully analyzed and acted upon manually. Often, instant and reliable decisions need to be taken based on huge, previously inconceivable amounts of heterogeneous, contradictory or incomplete data. The paper will highlight aspects of information flows related to business process data visibility and observability in modern manufacturing networks. An information management platform developed in the framework of the EU FP7 project ADVANCE will be presented.",

keywords = "big data, becision support, information management",

author = "Elisabeth Ilie-Zudor and Zsolt Kem{\'e}ny and Anik{\'o} Ek{\'a}rt and Buckingham, \{Christopher D.\} and L{\'a}szl{\'o} Monostori",

note = "8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution. {\textcopyright} 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).; 8th international conference on Digital Enterprise Technology , DET 2014 ; Conference date: 25-03-2014 Through 28-03-2014",

year = "2014",

doi = "10.1016/j.procir.2014.10.047",

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AU - Ilie-Zudor, Elisabeth

AU - Kemény, Zsolt

AU - Ekárt, Anikó

AU - Buckingham, Christopher D.

AU - Monostori, László

N1 - 8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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N2 - One dominant feature of the modern manufacturing chains is the movement of goods. Manufacturing companies would remain an unprofitable investment if the supplies/logistics of raw materials, semi-finished products or final goods are not handled in an effective way. Both levels of a modern manufacturing chain-actual production and logistics-are characterized by continuous data creation at a much faster rate than they can be meaningfully analyzed and acted upon manually. Often, instant and reliable decisions need to be taken based on huge, previously inconceivable amounts of heterogeneous, contradictory or incomplete data. The paper will highlight aspects of information flows related to business process data visibility and observability in modern manufacturing networks. An information management platform developed in the framework of the EU FP7 project ADVANCE will be presented.

AB - One dominant feature of the modern manufacturing chains is the movement of goods. Manufacturing companies would remain an unprofitable investment if the supplies/logistics of raw materials, semi-finished products or final goods are not handled in an effective way. Both levels of a modern manufacturing chain-actual production and logistics-are characterized by continuous data creation at a much faster rate than they can be meaningfully analyzed and acted upon manually. Often, instant and reliable decisions need to be taken based on huge, previously inconceivable amounts of heterogeneous, contradictory or incomplete data. The paper will highlight aspects of information flows related to business process data visibility and observability in modern manufacturing networks. An information management platform developed in the framework of the EU FP7 project ADVANCE will be presented.

KW - big data

KW - becision support

KW - information management

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DO - 10.1016/j.procir.2014.10.047

M3 - Article

AN - SCOPUS:84923299956

SN - 2212-8271

VL - 25

SP - 337

EP - 344

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 8th international conference on Digital Enterprise Technology

Y2 - 25 March 2014 through 28 March 2014

ER -

A solution for information management in logistics operations of modern manufacturing chains

Abstract

Bibliographical note

Keywords

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