Projekter pr. år
Organisationsprofil
Organisationsprofil
OPERATIONS RESEARCH
Through close cooperation with leading industry and academic partners we focus on both the practical applications of operations research as well as on strengthening the field’s theoretical basis through method development and testing. The Operations Research group focuses on research in the domains of manufacturing, transportation and defense.
The group’s current research is primarily focused on fully autonomous manufacturing systems using automated guided vehicles (AGVs), mobile robots and unmanned aerial vehicles (UAVs). In this area we develop and implement planning, scheduling and routing algorithms. Due to stochastic elements and unpredicted events in this type of environment, it is necessary to very quickly plan and re-schedule operations for execution. This requires developing methods and tools that enables finding solutions in on-line mode. This is truly a challenging topic that requires novel approaches.
Solving complex industrial problems requires developing different solutions (based on e.g. genetic algorithms, heuristics, meta-heuristics and constraint programming techniques) implemented as prototypes and decision support systems.
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Samarbejde i de sidste fem år
Profiler
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Frederik Christensen
- Det Ingeniør- og Naturvidenskabelige Fakultet - Ph.d.-stipendiat
- Institut for Materialer og Produktion - Ph.d.-stipendiat
- Produktion - Ph.d.-stipendiat
- Operations Research - Ph.d.-stipendiat
Person: VIP
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Aurélien Desoeuvres
- Det Ingeniør- og Naturvidenskabelige Fakultet - Postdoc
- Institut for Materialer og Produktion - Postdoc
- Produktion - Postdoc
- Operations Research - Postdoc
Person: VIP
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Rasmus Dovnborg Frederiksen
- Det Ingeniør- og Naturvidenskabelige Fakultet - Ph.d.-studerende
- Institut for Materialer og Produktion - Ph.d.-studerende
- Produktion - Ph.d.-studerende
- Operations Research - Ph.d.-studerende
Person: Ekstern
Projekter
- 3 Afsluttet
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Examination of EU classification methods in the field of health statistics and the use of artificial intelligence methods to increase data quality
Nielsen, I. E. & Kilic, D. A.
15/09/2022 → 14/09/2023
Projekter: Projekt › Forskning
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ORMS : Operational Reliability Management System
01/10/2016 → 31/03/2019
Projekter: Projekt › Forskning
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Publikationer
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An integrated vehicle routing model to optimize agricultural products distribution in retail chains
Fernando, W. M., Thibbotuwawa, A., Perera, H. N., Nielsen, P. & Kilic, D. K., 9 jan. 2024, I: Cleaner Logistics and Supply Chain. 10, 100137.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgang2 Citationer (Scopus) -
Reduction of Chemical Reaction Networks with Approximate Conservation Laws
Desoeuvres, A., Iosif, A., Luders, C., Radulescu, O., Rahkooy, H., Seiss, M. & Sturm, T., 2024, I: SIAM Journal on Applied Dynamical Systems. 23, 1, s. 256-296 41 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
1 Citationer (Scopus) -
Varied offspring memetic algorithm with three parents for a realistic synchronized goods delivery and service problem
Maity, S., 2024, I: Soft Computing - A Fusion of Foundations, Methodologies and Applications. 28, 5, s. 4235-4265 28(5).Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Forskningsdatasæt
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Customer retention and churn prediction in the telecommunication industry: A case study on a Danish university
Saha, S. (Ophavsperson), DataDeposit, 24 maj 2023
DOI: 10.57957/datadeposit.1fad02be-0b86-4281-bc5a-c92527172105
Datasæt
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Analysis of a local search heuristic for the generalized assignment problem with resource-independent task profits and identical resource capacity
El Yafrani, M. (Bidrager), Sung, I. (Ophavsperson), Krach, B. (Ophavsperson), Katsilieris, F. (Ophavsperson) & Nielsen, P. (Ophavsperson), Taylor & Francis, 8 jul. 2021
DOI: 10.6084/m9.figshare.14931913, https://tandf.figshare.com/articles/journal_contribution/Analysis_of_a_local_search_heuristic_for_the_generalized_assignment_problem_with_resource-independent_task_profits_and_identical_resource_capacity/14931913
Datasæt
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Problem Instances for the Generalized Assignment Problem (GAP) with Resource-Independent Task Profits and Identical Resource Capacity
Yafrani, M. E. (Ophavsperson), Sung, I. (Ophavsperson) & Nielsen, P. (Ophavsperson), Mendeley Data, apr. 2021
Datasæt
Priser
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Fil
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Internet of Things (Netherlands) (Tidsskrift)
Kemal Kemal (Fagfællebedømmer)
2022 → 2023Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
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Expert Systems (Tidsskrift)
Kemal Kemal (Fagfællebedømmer)
2020Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
Fil -
Sustainable Cities and Society (Tidsskrift)
Kemal Kemal (Fagfællebedømmer)
nov. 2019Aktivitet: Redaktionelt arbejde og fagfællebedømmelse › Peer reviewer/fagfællebedømmer af manuskripter › Forskning
Fil
Presse/medier
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Webinar: Geometry-Based Optimization Heuristics for Region Coverage and Pathfinding in Drone-Based Operations
13/05/2022
1 Mediebidrag
Presse/medie
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Dansk brætspil hjælper den globale shippingbranche
Niels Gorm Malý Rytter
02/02/2021
1 element af Mediedækning
Presse/medie
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