Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...

Care pathways are excellent tools for the standardization of care delivery and the improvement of clinical efficiency. The high dynamism and unpredictability of the clinical environment require pathways to be adaptable to the deviations that may arise during their execution. In this work we present a methodology for the identification, monitoring, detection and managing of these deviations. Suc...

ning Systems Conference was the first of its kind. Its goal was to create planning domains that a wide variety of planning researchers could agree on to make comparison among planners more meaningful, measure overall progress in the field, and set up a framework for long-term creation of a repository of problems in a standard notation. A rules committee for the competition was created in 1997 a...

Planning and scheduling attracts an unceasing attention of computer science community. Several research areas like Artificial Intelligence, Operations Research and Constraint Programming joined their power to tackle the problems brought by real industrial life. Among them Constraint Programming plays the integrating role because it provides nice declarative capabilities for modelling and, at th...

In this paper, a general multi-level decomposition based framework has been proposed for integration of planning and scheduling in a multi-site, multi-product plant, with applications to paper manufacturing. The problem involves complex issues relating to large-scale production in a hybrid flowshop configuration, decisions relating to minimizing trim losses, while maintaining on-time delivery o...

As companies increase the level of customization in their products, move towards smaller lot production and experiment with more flexible customedsupplier arrangements such as those made possible by Electronic Data Interchange (EDI), they increasingly require the ability to (1) quickly, accurately and competitively respond to customer requests for bids on new products and (2) rapidly and effect...

This paper describes an approach for optimizing over interdependent planning goals. Most planning systems allow only simple, static dependencies to be defined among goals where these dependencies remain constant between different problems. However, in many domains, goals are related through detailed utility models that may significantly change from problem to problem. For instance in one proble...

In this paper we present an educational tool, named CAMOU, which has been designed to both, acquire (learning) knowledge from the (educational) interactions among students and educators, and aid educators in the process of course design and analysis. CAMOU integrates a system, named IPSS, which uses planning and scheduling modules as main reasoning module. IPSS is used to automatically analyse,...

In this paper, we give a short overview on the AI-fields Planning and Scheduling.