Multi-objective production scheduling optimization and management control system of complex aerospace components: a review

Ma, Huijuan; Huang, Xiang; Hu, Zhili; Chen, Yizhe; Qian, Dongsheng; Deng, Jian; Hua, Lin

doi:10.1007/s00170-023-11707-4

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2024

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“…Heuristic methods, as developed by Wilkerson and Irwin [6], Kim et al [7], and others, offer more feasible solutions for larger problems. For instance, Tian et al [8]identified conditions for polynomial solvability in specific cases, and Kiyuzato et al [9] applied heuristics to real-world scheduling in auto parts manufacturing.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Evolutionary Solver Efficiency for NP-Hard Single Machine Scheduling Problems

Al-Romema,

A. Makarem

2023

IJSR

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The study explores the optimization of evolutionary solver parameters for minimizing total tardiness in single machine scheduling, an NP-hard problem with zero ready times included. It investigates various parameter combinations, including population sizes, mutation rates, and a constant convergence rate, both above and below default values. The aim is to enhance the solver's effectiveness in addressing this complex challenge. The findings contribute to improving scheduling efficiency in manufacturing and operations management contexts.

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