Prescriptive business process monitoring provides decision support to managers on when and how adapt an ongoing prevent or mitigate undesired outcome. We focus the problem of automatically reconciling trade-off between prediction accuracy earliness in determining adapt. Adaptations should happen sufficiently early provide enough lead time for adaptation become effective. However, earlier predic...

In this paper, we will present a new variant of genetic algorithm to solve optimization problems where the number of feasible solutions is very important. This approach consists on a hybrid algorithm between genetic algorithms introduced by J. Holland (1975) and dynamic programming method of R. Bellman (1957). Then we will apply this hybrid algorithm to solve a single machine scheduling problem...

This paper addresses the single machine scheduling problem with a common due date aiming to minimize earliness and tardiness penalties. Due to its complexity, most of the previous studies in the literature deal with this problem using heuristics and metaheuristics approaches. With the intention of contributing to the study of this problem, a branch-and-bound algorithm is proposed. Lower bounds ...

Fresh market tomato production is a $5 billion a year industry. Tomatoes are a warm season vegetable crop with large acreages grown in warm climates such as Florida and California. Tomatoes are also grown in numerous northern states earning premium prices for early production in cooler climates. Tomato production often employs plasticulture, such as the use of plastic mulches, for earliness and...

There are many service systems (especially in reservation systems, electronic commerce, in tasks synchronized directly with the Internet), where each task has to be executed in some fixed range of time. Exceeding the term is disadvantageous and causes additional penalties. Therefore, it is necessary to establish optimal sequence of tasks (which minimizes penalties) and its starting times. It am...