DEĞİŞKEN MAKİNE HIZLARINA SAHİP KAPASİTELİ İLİŞKİSİZ PARALEL MAKİNE ÇİZELGELEME PROBLEMİ İÇİN ÇÖZÜM YAKLAŞIMLARI
Öz
Anahtar Kelimeler
Kaynakça
- Kaynaklar (References)
- Abedi, M., Chiong, R., Noman, N., Zhang, R., 2020. A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines. Expert Systems with Applications, 157, 113348.
- Alfares, H. K. (2022). Plant shutdown maintenance workforce team assignment and job scheduling. Journal of Scheduling, 25(3), 321-338.
- Chen, S., Pan, Q. K., Gao, L., Miao, Z. H., Peng, C., 2023. Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm. Neural Computing and Applications, 35(9), 6361-6381.
- Cota, L. P., Coelho, V. N., Guimarães, F. G., Souza, M. J., 2021. Bi‐criteria formulation for green scheduling with unrelated parallel machines with sequence‐dependent setup times. International Transactions in Operational Research, 28(2), 996-1017.
- Darghouth, M. N., Attia, A. M., 2026. Sustainable scheduling for job shops with joint maintenance, machine speed scaling, and uncertain processing times. Robotics and Computer-Integrated Manufacturing, 97, 103091.
- Ebrahimi, M., Dinari, P., Samaei, M., Sohrabi, R., Sherafatianfini, S., 2022. A New Approach Based on the Learning Effect for Sequence‐Dependent Parallel Machine Scheduling Problem under Uncertainty. Discrete Dynamics in Nature and Society, 2022(1), 2648936.
- Ertem, M., 2024. Renewable energy-aware machine scheduling under intermittent energy supply. IEEE Access, 12, 23613-23625.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Üretimde Optimizasyon
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
25 Eylül 2026
Gönderilme Tarihi
16 Ekim 2025
Kabul Tarihi
13 Temmuz 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 14 Sayı: 3