Advances in decision support systems on the endeavour for supply chain optimality

Rebecca Aggarwal; Ming Lim

Advances in decision support systems on the endeavour for supply chain optimality

Rebecca Aggarwal, Ming Lim

Engineering Systems & Supply Chain Management

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Industry practitioners are seeking to create optimal logistics networks through more efficient decision-making leading to a shift of power from a centralized position to a more decentralized approach. This has led to researchers, exploring with vigor, the application of agent based modeling (ABM) in supply chains and more recently, its impact on decision-making. This paper investigates reasons for the shift to decentralized decision-making and the impact on supply chains. Effective decentralization of decision-making with ABM and hybrid modeling is investigated, observing the methods and potential of achieving optimality.

Original language	English
Title of host publication	International Conference on Industrial Logistics, ICIL 2012 - conference proceedings
Editors	Ilona Jacyna-Gołda
Publisher	University of Zagreb
Pages	472-477
Number of pages	6
ISBN (Print)	978-953-773-816-7
Publication status	Published - 2012
Event	11th International Conference on Industrial Logistics - Zadar, Croatia Duration: 14 Jun 2012 → 16 Jun 2012

Conference

Conference	11th International Conference on Industrial Logistics
Abbreviated title	ICIL 2012
Country/Territory	Croatia
City	Zadar
Period	14/06/12 → 16/06/12

Keywords

agent based modeling
artificial intelligence
decentralized decision-making
logistics networks
supply chain

Cite this

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title = "Advances in decision support systems on the endeavour for supply chain optimality",

abstract = "Industry practitioners are seeking to create optimal logistics networks through more efficient decision-making leading to a shift of power from a centralized position to a more decentralized approach. This has led to researchers, exploring with vigor, the application of agent based modeling (ABM) in supply chains and more recently, its impact on decision-making. This paper investigates reasons for the shift to decentralized decision-making and the impact on supply chains. Effective decentralization of decision-making with ABM and hybrid modeling is investigated, observing the methods and potential of achieving optimality.",

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AU - Lim, Ming

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AB - Industry practitioners are seeking to create optimal logistics networks through more efficient decision-making leading to a shift of power from a centralized position to a more decentralized approach. This has led to researchers, exploring with vigor, the application of agent based modeling (ABM) in supply chains and more recently, its impact on decision-making. This paper investigates reasons for the shift to decentralized decision-making and the impact on supply chains. Effective decentralization of decision-making with ABM and hybrid modeling is investigated, observing the methods and potential of achieving optimality.

KW - agent based modeling

KW - artificial intelligence

KW - decentralized decision-making

KW - logistics networks

KW - supply chain

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M3 - Conference publication

AN - SCOPUS:84901770561

SN - 978-953-773-816-7

SP - 472

EP - 477

BT - International Conference on Industrial Logistics, ICIL 2012 - conference proceedings

A2 - Jacyna-Gołda, Ilona

PB - University of Zagreb

T2 - 11th International Conference on Industrial Logistics

Y2 - 14 June 2012 through 16 June 2012

ER -

Advances in decision support systems on the endeavour for supply chain optimality

Abstract

Conference

Keywords

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Investigating the current and future use of it by 3PL providers in europe and the far east

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