INVESTIGADORES
MARCHETTI Pablo Andres
capítulos de libros
Título:
Efficient Scheduling of a Real Case Study of the Pharmaceutical Industry Using a Mathematical-Algorithmic Decomposition Methodology
Autor/es:
JOSÍAS A. STÜRTZ; PABLO A. MARCHETTI
Libro:
Communications in Computer and Information Science
Editorial:
Springer
Referencias:
Lugar: Cham; Año: 2021; p. 171 - 176
Resumen:
This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.