Smart industry strategies for shop-floor production planning problems to support mass customization

ROSSIT, DIEGO GABRIEL; ROSSIT, DANIEL ALEJANDRO; NESMACHNOW, SERGIO

Communications in Computer and Information Science

Springer

Año: 2023 vol. 1938 p. 123 - 137

1865-0929

The smart industry paradigm has revolutionized the landscape of production processes, ushering in new strategies to meet evolving demands. Among these strategies, mass customization stands out, for producing nearly tailored products products based on customers preferences, while still using massive production techniques that allow keeping costs burdened. However, to embrace mass customization several operations at shop-floor level of the industry have to be adjusted , among them production planning strategies due to the emergence of missing operations. In this line, this article presents a suite of metaheuristic algorithms designed to tackle the multiobjective flowshop problem with missing operations while considering as optimization criteria the makespan, weighted total tardiness, and total completion time. Through extensive computational experiments on realistic instances, the performance of the applied metaheuristics is thoroughly evaluated. The results underscore the competitiveness of the proposed approaches in effectively addressing the intrinsic computational complexity of the addressed optimization problem, affirming their viability for real-world applications.