An iterative agent bidding mechanism for responsive manufacturing


In today's market, the global competition has put manufacturing businesses in great pressures to respond rapidly to dynamic variations in demand patterns across products and changing product mixes. To achieve substantial responsiveness, the manufacturing activities associated with production planning and control must be integrated dynamically, efficiently and cost-effectively. This paper presents an iterative agent bidding mechanism, which performs dynamic integration of process planning and production scheduling to generate optimised process plans and schedules in response to dynamic changes in the market and production environment. The iterative bidding procedure is carried out based on currency-like metrics in which all operations (e.g. machining processes) to be performed are assigned with virtual currency values, and resource agents bid for the operations if the costs incurred for performing them are lower than the currency values. The currency values are adjusted iteratively and resource agents re-bid for the operations based on the new set of currency values until the total production cost is minimised. A simulated annealing optimisation technique is employed to optimise the currency values iteratively. The feasibility of the proposed methodology has been validated using a test case and results obtained have proven the method outperforming non-agent-based methods.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Sustainable environment research group
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Engineering applications of artificial intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Lim, Ming K.; Zhang, Z. and Goh, W.T. An iterative agent bidding mechanism for responsive manufacturing. Engineering applications of artificial intelligence, 22, 7 (2009) DOI: 10.1016/j.engappai.2008.12.003
Uncontrolled Keywords: planning and production control,multi-agent system,system modelling and simulation,simulated annealing,responsive manufacturing,Artificial Intelligence,Control and Systems Engineering,Electrical and Electronic Engineering
Publication ISSN: 1873-6769
Last Modified: 02 Jan 2024 17:24
Date Deposited: 11 Mar 2019 17:55
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2009-10
Authors: Lim, Ming K.
Zhang, Z.
Goh, W.T.

Export / Share Citation


Additional statistics for this record