Petri nets in dynamic process planning
Proceedings of the 12th annual conference on Computers and industrial engineering
Functional specification of a dynamic process planning system
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
A collaborative process planning and scheduling system
Advances in Engineering Software - Special issue: computer-aided process planning
A two-phased approach to dynamic process planning
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Defining the internet-based supply chain system for mass customized markets
Computers and Industrial Engineering
Agent learning in supplier selection models
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Genetic algorithms in agent-based manufacturing scheduling systems
Integrated Computer-Aided Engineering
Integrated process planning and scheduling in a supply chain
Computers and Industrial Engineering
International Journal of Computer Integrated Manufacturing - Global Competitive Manufacturing
An agent-based approach for integrated process planning and scheduling
Expert Systems with Applications: An International Journal
Agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing
International Journal of Computer Integrated Manufacturing
A controlled genetic algorithm by fuzzy logic and belief functionsfor job-shop scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Dynamically Integrated Manufacturing Systems (DIMS)—A Multiagent Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Verifying conformance of multi-agent commitment-based protocols
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The global market has become increasingly dynamic, unpredictable and customer-driven. This has led to rising rates of new product introduction and turbulent demand patterns across product mixes. As a result, manufacturing enterprises were facing mounting challenges to be agile and responsive to cope with market changes, so as to achieve the competitiveness of producing and delivering products to the market timely and cost-effectively. This paper introduces a currency-based iterative agent bidding mechanism to effectively and cost-efficiently integrate the activities associated with production planning and control, so as to achieve an optimised process plan and schedule. The aim is to enhance the agility of manufacturing systems to accommodate dynamic changes in the market and production. The iterative bidding mechanism is executed based on currency-like metrics; each operation to be performed is assigned with a virtual currency value and agents bid for the operation if they make a virtual profit based on this value. These currency values are optimised iteratively and so does the bidding process based on new sets of values. This is aimed at obtaining better and better production plans, leading to near-optimality. A genetic algorithm is proposed to optimise the currency values at each iteration. In this paper, the implementation of the mechanism and the test case simulation results are also discussed.