On scheduling multiple parallel two-stage flowshops with Johnson’s Rule
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DOI: 10.1007/s10878-024-01107-z
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- Ruiz, Ruben & Maroto, Concepcion, 2005. "A comprehensive review and evaluation of permutation flowshop heuristics," European Journal of Operational Research, Elsevier, vol. 165(2), pages 479-494, September.
- Dong, Jianming & Jin, Ruyan & Luo, Taibo & Tong, Weitian, 2020. "A polynomial-time approximation scheme for an arbitrary number of parallel two-stage flow-shops," European Journal of Operational Research, Elsevier, vol. 281(1), pages 16-24.
- Zhang, Xiandong & van de Velde, Steef, 2012. "Approximation algorithms for the parallel flow shop problem," European Journal of Operational Research, Elsevier, vol. 216(3), pages 544-552.
- Artiba, A. & Tahon, C., 1992. "Production planning knowledge-based system for pharmaceutical manufacturing lines," European Journal of Operational Research, Elsevier, vol. 61(1-2), pages 18-29, August.
- S. M. Johnson, 1954. "Optimal two‐ and three‐stage production schedules with setup times included," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 1(1), pages 61-68, March.
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- Reyner Pérez-Campdesuñer & Alexander Sánchez-Rodríguez & Margarita De Miguel-Guzmán & Gelmar García-Vidal & Rodobaldo Martínez-Vivar, 2025. "Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs," Mathematics, MDPI, vol. 13(9), pages 1-19, April.
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Keywords
Scheduling; Two-stage flowshop; Approximation algorithm; Cloud computing;All these keywords.
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