Decision analysis applications in the operations research literature, 1970-1989
Operations Research
Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Introduction to Algorithms
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Agents And Multi-agent Systems In Construction
Agents And Multi-agent Systems In Construction
Combinatorial Auctions
Multiagent resource allocation
The Knowledge Engineering Review
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
A crime simulation model based on social networks and swarm intelligence
Proceedings of the 2007 ACM symposium on Applied computing
An agent-based model for consumer-to-business electronic commerce
Expert Systems with Applications: An International Journal
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Engineering Applications of Artificial Intelligence
An optimal scheduling algorithm for an agent-based multicast strategy on irregular networks
The Journal of Supercomputing
Solving quantified constraint satisfaction problems
Artificial Intelligence
Modelling and application of optimal-selection evaluation for manufacturing grid resource
International Journal of Computer Integrated Manufacturing
An Iterative local-search framework for solving constraint satisfaction problem
Applied Soft Computing
Integrated Computer-Aided Engineering
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Multi-Agent Resource Allocation (MARA) is a field developing solutions to the problem of distributing a number of resources amongst multiple agents. This field has interdisciplinary characteristics and relates to a wide range of applications, such as industrial procurement, scheduling and network routing. Many construction operations involve entities sharing and competing for limited resources. The decision to allocate these resources to entities usually has a significant impact on the schedule and cost of these operations. The dynamic and continuously changing nature of construction operations justifies the need for decision support tools with high adaptability and handling of uncertainty which is featured by MARA. This paper presents the main elements and techniques in MARA and discusses a sample case applying these techniques for the modeling of industrial construction assembly processes, also presents the conceptual model of the sample case and a prototype implementation of that model using Repast multi-agent simulation package.