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A Market-based Approach to Multi-factory Scheduling

Record type: Conference or Workshop Item (Paper)

In this paper, we report on the design of a novel market-based approach for decentralised scheduling across multiple factories. Specifically, because of the limitations of scheduling in a centralised manner -- which requires a center to have complete and perfect information for optimality and the truthful revelation of potentially commercially private preferences to that center -- we advocate an informationally decentralised approach that is both agile and dynamic. In particular, this work adopts a market-based approach for decentralised scheduling by considering the different stakeholders representing different factories as self-interested, profit-motivated economic agents that trade resources for the scheduling of jobs. The overall schedule of these jobs is then an emergent behaviour of the strategic interaction of these trading agents bidding for resources in a market based on limited information and their own preferences. Using a simple (zero-intelligence) bidding strategy, we empirically demonstrate that our market-based approach achieves a lower bound efficiency of 84%. This represents a trade-off between a reasonable level of efficiency (compared to a centralised approach) and the desirable benefits of a decentralised solution.

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Citation

Vytelingum, Perukrishnen, Macbeth, Douglas K., Dutta, Partha, Stranjak, Armin, Rogers, Alex and Jennings, Nick (2009) A Market-based Approach to Multi-factory Scheduling At The First Conference on Auctions, Market Mechanisms and Their Applications, United States.

More information

Published date: 8 May 2009
Additional Information: Event Dates: May 2009
Venue - Dates: The First Conference on Auctions, Market Mechanisms and Their Applications, United States, 2009-05-01
Keywords: Continuous Double Auction, Scheduling, Trading Strategies
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 265034
URI: http://eprints.soton.ac.uk/id/eprint/265034
PURE UUID: e2be07bf-469f-4d85-9df4-352887f0e537

Catalogue record

Date deposited: 20 Mar 2009 09:59
Last modified: 18 Jul 2017 07:30

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Contributors

Author: Perukrishnen Vytelingum
Author: Douglas K. Macbeth
Author: Partha Dutta
Author: Armin Stranjak
Author: Alex Rogers
Author: Nick Jennings

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