المؤلفون: Rabet, Rahmat, Sajadi, Seyed Mojtaba, Tootoonchy, Mahshid

وصف الملف: text

Relation: https://publications.aston.ac.uk/id/eprint/46871/1/R_Rabet_et_al_Hybrid_metaheurisitic_and_simulation_approach_to_green_project_scheduling.pdf; Rabet, Rahmat, Sajadi, Seyed Mojtaba and Tootoonchy, Mahshid (2024). A hybrid metaheuristic and simulation approach towards green project scheduling. Annals of Operations Research

الاتاحة: https://publications.aston.ac.uk/id/eprint/46871/
https://publications.aston.ac.uk/id/eprint/46871/1/R_Rabet_et_al_Hybrid_metaheurisitic_and_simulation_approach_to_green_project_scheduling.pdf

المؤلفون: Rabet, Rahmat, Ganji, Maliheh, Fathi, Masood

المصدر: Applied Soft Computing. 153

مصطلحات موضوعية: Distribution, Heterogeneous vehicles routing problem, Integrated supply chain, Maintenance, Simheuristic, Fertilizers, Fleet operations, Genetic algorithms, Heuristic algorithms, Particle swarm optimization (PSO), Screening, Stochastic systems, Supply chain management, Heterogeneous vehicle routing problem, Heterogeneous vehicles, Integrated maintenance, Integrated production, Production distribution, Production Scheduling, Vehicle Routing Problems, Virtual Production Development (VPD)

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23563

المؤلفون: Ganji, Maliheh, Rabet, Rahmat, sajadi, seyedmojtaba

المصدر: SSRN Electronic Journal ; ISSN 1556-5068

الاتاحة: http://dx.doi.org/10.2139/ssrn.4104477

المؤلفون: Ganji, Maliheh, Rabet, Rahmat, Sajadi, Seyed Mojtaba

المصدر: Environment, Development and Sustainability ; volume 24, issue 4, page 4566-4601 ; ISSN 1387-585X 1573-2975

الاتاحة: http://dx.doi.org/10.1007/s10668-021-01620-9
https://link.springer.com/content/pdf/10.1007/s10668-021-01620-9.pdf
https://link.springer.com/article/10.1007/s10668-021-01620-9/fulltext.html

المؤلفون: Ganji, Maliheh, Rabet, Rahmat, Sajadi, Seyed Mojtaba

المصدر: Environment, Development & Sustainability; Apr2022, Vol. 24 Issue 4, p4566-4601, 36p

مصطلحات موضوعية: CUSTOMER satisfaction, EMISSIONS (Air pollution), ANT algorithms, SUPPLY chains, VEHICLE routing problem