-This paper describes a hierarchy of models and information systems being developed by integrated producers of corrugated containers to aid in the process of planning and scheduling their operations. The initial focus is on eight easily identifiable decision areas and the tools available to deal with them. The eight decision areas are paper machine loading, master scheduling, trimming, boxcar l...

Tt~is paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MultiRover Integrated Science Understanding System combines concepts from machine learning with planning and scheduling to perform autonomous scientific exploration by cooperating rovers. The integrated system utilizes a novel machine-learning clust...

This paper reviews modern genetic algorithm based approaches for solving job shop scheduling problems Genetic algorithms represent one of the most popular and mostly used metaheuristic methods applied for solving many optimization problems within last few decades. Job shop scheduling represents one of the hardest combinatorial optimization problems where number of possible schedules drastically...

Planning, scheduling and constraint satisfaction are important areas in Artificial Intelligence (AI). Many real-world problems are known as AI planning and scheduling problems, where resources must be allocated so as to optimize overall performance objectives. Therefore, solving these problems requires an adequate mixture of planning, scheduling and resource allocation to competing goal activit...

When addressing specific classes of problems, it is not sufficient for a problem solving paradigm to enable domain descriptions and solution methods; it is necessary to support the process as well. This requires the provision of facilities that help make it reasonably easy, free from errors and efficient. We are interested in generating detailed predictions of the behavior of large scale system...

This paper describes an interactive planning system that was developed inside an Intelligent Decision Support System aimed at supporting an operator when planning the initial attack to forest res. The planning architecture rests on the integration of case-based reasoning techniques with constraint reasoning techniques exploited, mainly, for performing temporal reasoning on temporal metric infor...

In traditional approaches, process planning and scheduling are carried out sequentially, where scheduling is done separately after the process plan has been generated. However, the functions of these two systems are usually complementary. The traditional approach has become an obstacle to improve the productivity and responsiveness of the manufacturing system. If the two systems can be integrat...

Automated planning and scheduling, including automated path planning, has been integrated with an Internet-based distributed operations system for planetary rover operations. The resulting prototype system enables faster generation of valid rover command sequences b y a distributed planetary rover operations team. The Web Interface for Telescience (WITS) provides Internet-based distributed coll...

The plannln g problem has traditionally been treated separately from the scheduling problem. However, as more realistic domains are tackled, it becomes evident that the problem of deciding on an ordered set of tasks to achieve a set of goals cannot be treated independently of the problem of actually allocating resources to the tasks. Doing so would result in losing the robustness and flexibilit...