We investigate the performance of workload rules used to support customer order acceptance decisions in the hierarchical production control structure of a batch chemical plant. Customer order acceptance decisions need to be made at a point in time when no detailed information is available about the actual shop ̄oor status during execution of the order. These decisions need therefore be based on ...

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...

Forecasts of available wind power are critical in key electric power systems operations planning problems, including economic dispatch and unit commitment. Such forecasts are necessarily uncertain, limiting the reliability and costeffectiveness of operations planning models based on a single deterministic or “point” forecast. A common approach to address this limitation involves the use of a nu...

considering the importance of increase in production and supply of agricultural products in iranian economic development, this study was carried out to investigate the impact of factors influencing the acreage (as a proxy for planned production and supply) of five important crops , namely wheat, barley, potatoes, sunflower and cotton. the seemingly unrelated regression estimation (sure) was use...

Recent work has begun exploring the value of domain abstractions in Monte-Carlo Tree Search (MCTS) algorithms for probabilistic planning. These algorithms automatically aggregate symmetric search nodes (states or state-action pairs) saving valuable planning time. Existing algorithms alternate between two phases: (1) abstraction computation for computing node aggregations, and (2) modified MCTS ...