Integrated autonomy: a modelling-based investigation of agrifood supply chain performance

Paper


Bryceson, Kim P. and Slaughter, Geoff. 2009. "Integrated autonomy: a modelling-based investigation of agrifood supply chain performance." 11th International Conference on Computer Modelling and Simulation (UKSim 2009). Cambridge, England 25 - 27 Mar 2009 United Kingdom. https://doi.org/10.1109/UKSIM.2009.42
Paper/Presentation Title

Integrated autonomy: a modelling-based investigation of agrifood supply chain performance

Presentation TypePaper
AuthorsBryceson, Kim P. (Author) and Slaughter, Geoff (Author)
Journal or Proceedings TitleProceedings of the 11th International Conference on Computer Modelling and Simulation (UKSim 2009)
Number of Pages6
Year2009
Place of PublicationUnited Kingdom
ISBN9780769535937
Digital Object Identifier (DOI)https://doi.org/10.1109/UKSIM.2009.42
Web Address (URL) of Paperhttp://www.uksim2009.org.uk/
Conference/Event11th International Conference on Computer Modelling and Simulation (UKSim 2009)
Event Details
11th International Conference on Computer Modelling and Simulation (UKSim 2009)
Event Date
25 to end of 27 Mar 2009
Event Location
Cambridge, England
Abstract

The success of supply chains, whether they are whole-of-industry chains or internal business chains, depends on integration, coordination, communication and cooperation. However, one of the key issues faced by enterprises within a supply chain is the tendency for each component in the supply chain to have different goals – particularly since each component is very often an autonomous business unit. This situation can, and very often does, result in a lack of integration, coordination, communication and thus cooperation.
This paper describes the use of agent based modeling techniques to investigate whether the distributed computing concept of Integrated Autonomy could also be promoted as a business strategy for managing agri-food supply chains in order to increase efficiencies and coordination across the chain.
The results of modeling two different supply chain scenarios in both an industry and in an enterprise environment indicate that IA as a concept can be translated into a practical management strategy with associated performance metrics aimed at increasing efficiencies, coordination and communication across supply chains.

Keywordssupply chain; performance metrics; modeling; communication; management, integrated autonomy
ANZSRC Field of Research 2020300208. Farm management, rural management and agribusiness
520104. Industrial and organisational psychology (incl. human factors)
350999. Transportation, logistics and supply chains not elsewhere classified
Public Notes

© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsUniversity of Queensland
School of Accounting, Economics and Finance
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