Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool

Areti Manataki; Jessica Chen-Burger; Michael Rovatsos

Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool

Areti Manataki, Jessica Chen-Burger, Michael Rovatsos

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

This paper introduces an intelligent simulation tool that aims to improve our understanding of the dynamics of supply chain operation. The proposed added value of this tool lies in the explanation of simulation results, the support of knowledge propagation across the supply chain and the capture of supply chain communication, all of which are facilitated by using Artificial Intelligence techniques. The conceptualisation framework for modelling a supply chain, and the tool’s scope and behaviour are discussed.

Original language	English
Title of host publication	17th International Annual EurOMA Conference
Editors	R Sousa, C Portela, S Pinto, H Correia
Publisher	European Operations Management Association
Number of pages	10
Publication status	Published - 2010
Event	17th International Annual EurOMA Conference - Porto, Portugal Duration: 6 Jun 2010 → 9 Jun 2010

Conference

Conference	17th International Annual EurOMA Conference
Country/Territory	Portugal
City	Porto
Period	6/06/10 → 9/06/10

Keywords / Materials (for Non-textual outputs)

supply chain modelling
supply chain simulation

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manatakietal_EurOMA_2010Accepted author manuscript, 119 KB

Cite this

@inproceedings{393fb4b9b466436c8c134f70875e6ac4,

title = "Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool",

abstract = "This paper introduces an intelligent simulation tool that aims to improve our understanding of the dynamics of supply chain operation. The proposed added value of this tool lies in the explanation of simulation results, the support of knowledge propagation across the supply chain and the capture of supply chain communication, all of which are facilitated by using Artificial Intelligence techniques. The conceptualisation framework for modelling a supply chain, and the tool{\textquoteright}s scope and behaviour are discussed.",

keywords = "supply chain modelling, supply chain simulation",

author = "Areti Manataki and Jessica Chen-Burger and Michael Rovatsos",

year = "2010",

language = "English",

editor = "R Sousa and C Portela and S Pinto and H Correia",

booktitle = "17th International Annual EurOMA Conference",

publisher = "European Operations Management Association",

note = "17th International Annual EurOMA Conference ; Conference date: 06-06-2010 Through 09-06-2010",

}

Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool. / Manataki, Areti; Chen-Burger, Jessica; Rovatsos, Michael.
17th International Annual EurOMA Conference. ed. / R Sousa; C Portela; S Pinto; H Correia. European Operations Management Association, 2010.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool

AU - Manataki, Areti

AU - Chen-Burger, Jessica

AU - Rovatsos, Michael

PY - 2010

Y1 - 2010

N2 - This paper introduces an intelligent simulation tool that aims to improve our understanding of the dynamics of supply chain operation. The proposed added value of this tool lies in the explanation of simulation results, the support of knowledge propagation across the supply chain and the capture of supply chain communication, all of which are facilitated by using Artificial Intelligence techniques. The conceptualisation framework for modelling a supply chain, and the tool’s scope and behaviour are discussed.

AB - This paper introduces an intelligent simulation tool that aims to improve our understanding of the dynamics of supply chain operation. The proposed added value of this tool lies in the explanation of simulation results, the support of knowledge propagation across the supply chain and the capture of supply chain communication, all of which are facilitated by using Artificial Intelligence techniques. The conceptualisation framework for modelling a supply chain, and the tool’s scope and behaviour are discussed.

KW - supply chain modelling

KW - supply chain simulation

M3 - Conference contribution

BT - 17th International Annual EurOMA Conference

A2 - Sousa, R

A2 - Portela, C

A2 - Pinto, S

A2 - Correia, H

PB - European Operations Management Association

T2 - 17th International Annual EurOMA Conference

Y2 - 6 June 2010 through 9 June 2010

ER -

Improving the understanding of supply chain dynamics: Towards an intelligent simulation tool

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this