Efficient Scheduling of a Real Case Study of the Pharmaceutical Industry Using a Mathematical-Algorithmic Decomposition Methodology

JOSÍAS A. STÜRTZ; PABLO A. MARCHETTI

Communications in Computer and Information Science

Springer

Lugar: Cham; Año: 2021; p. 171 - 176

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.