Intelligent scheduling
Scheduling Algorithms
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
Computation of a multi-objective production planning model with probabilistic constraints
International Journal of Computer Mathematics
Study of the performance of multi-behaviour agents for supply chain planning
Computers in Industry
Modeling and evolutionary optimization on multilevel production scheduling: a case study
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
A multi-agent system for distributed multi-project scheduling: An auction-based negotiation approach
Engineering Applications of Artificial Intelligence
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Traditionally, companies used to view themselves as separate entities and did not devote efforts to collaborate with other echelons of the extended enterprise. This even happened at multi-site companies owning different plants that belonged to the same supply chain. However, manufacturing facilities of the same supply chain should intensively share information and coordinate planning and scheduling tasks in order to get a globally optimized solution. This paper discusses some specific characteristics of the planning and scheduling problem in the extended enterprise including an analysis of a case study, and reviews the available state-of-the-art research studies in this field. Most studies suggest that integrated approaches can have a significant impact on the system performance, in terms of lower production costs, and less inventory levels. The paper provides some conclusions and suggestions of future works.