Paulo Roberto Munhoz

METAHEURISTIC ANALYSIS APPLIED TO THE BERTH ALLOCATION PROBLEM: CASE STUDY IN A PORT CONTAINER TERMINAL

The simulated annealing (SA) and genetic algorithm (GA) metaheuristics are comparatively applied to the berth allocation problem (BAP) of a port container terminal. By synthesizing the experimental studies of the BAP available in the literature, the two methods are compared when applied to the same case. For this purpose, six test problems are considered, where SA and GA are compared using four crossover operators. Once the optimal GA crossover operator is determined, computational tests are performed with the data obtained at the port terminal to compare the performance of the two metaheuristics.

Using MCDA to evaluate the performance of the logistics process in public hospitals: the case of a Brazilian teaching hospital

The increasing complexity of hospital management indicates a greater need for scientific instruments that underlie the performance evaluations of the organizational processes in this sector. From this perspective, this work evaluates the performance of the main activities of the internal logistics process of a Brazilian public teaching hospitals supply chain. To this end, a multicriteria decision analysis approach is used as an instrument of intervention. The multicriteria model constructed serves as a decision support system to aid decision makers, allowing managers to measure logistics performance in the hospital context and to visualize the performance profile of the main logistics activities, enabling the identification of activities requiring greater attention and improvement.