Peter Nielsen
Peter Nielsen
Associate Professor, Aalborg University
Zweryfikowany adres z mp.aau.dk
Tytuł
Cytowane przez
Cytowane przez
Rok
Co-evolutionary particle swarm optimization algorithm for two-sided robotic assembly line balancing problem
Z Li, MN Janardhanan, Q Tang, P Nielsen
Advances in Mechanical Engineering 8 (9), 1687814016667907, 2016
362016
Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximizing line efficiency in robotic assembly line systems
JM Nilakantan, Z Li, Q Tang, P Nielsen
Journal of Cleaner Production 156, 124-136, 2017
312017
A simulation-based genetic algorithm approach for reducing emissions from import container pick-up operation at container terminal
NAD Do, IE Nielsen, G Chen, P Nielsen
Annals of Operations Research 242 (2), 285-301, 2016
312016
Advanced planning and scheduling technology
K Steger-Jensen, HH Hvolby, P Nielsen, I Nielsen
Production Planning & Control 22 (8), 800-808, 2011
292011
Analyzing and evaluating product demand interdependencies
P Nielsen, I Nielsen, K Steger-Jensen
Computers in Industry 61 (9), 869-876, 2010
282010
Optimizing supply chain waste management through the use of RFID technology
I Nielsen, M Lim, P Nielsen
2010 IEEE International Conference on RFID-Technology and Applications, 296-301, 2010
242010
Mathematical model and metaheuristics for simultaneous balancing and sequencing of a robotic mixed-model assembly line
Z Li, MN Janardhanan, Q Tang, P Nielsen
Engineering Optimization 50 (5), 877-893, 2018
222018
Scheduling of mobile robots with preemptive tasks
I Nielsen, QV Dang, P Nielsen, P Pawlewski
Distributed Computing and Artificial Intelligence, 11th International …, 2014
222014
A case of cost estimation in an engineer-to-order company moving towards mass customisation
TD Brunoe, P Nielsen
International Journal of Mass Customisation 4 (3-4), 239-254, 2012
212012
A constraint-driven approach to food supply chain management
P Sitek, J Wikarek, P Nielsen
Industrial Management & Data Systems 117 (9), 2115-2138, 2017
202017
An investigation of forecast horizon and observation fit’s influence on an econometric rate forecast model in the liner shipping industry
P Nielsen, L Jiang, NGM Rytter, G Chen
Maritime Policy & Management 41 (7), 667-682, 2014
202014
Cyclic steady state refinement: multimodal processes perspective
G Bocewicz, P Nielsen, ZA Banaszak, VQ Dang
IFIP International Conference on Advances in Production Management Systems …, 2011
192011
Energy consumption in unmanned aerial vehicles: a review of energy consumption models and their relation to the UAV routing
A Thibbotuwawa, P Nielsen, B Zbigniew, G Bocewicz
International Conference on Information Systems Architecture and Technology …, 2018
172018
An empirical investigation of lead time distributions
P Nielsen, Z Michna, NAD Do
IFIP International Conference on Advances in Production Management Systems …, 2014
162014
Metaheuristic algorithms for balancing robotic assembly lines with sequence-dependent robot setup times
MN Janardhanan, Z Li, G Bocewicz, Z Banaszak, P Nielsen
Applied Mathematical Modelling 65, 256-270, 2019
152019
Routing and scheduling of unmanned aerial vehicles subject to cyclic production flow constraints
G Bocewicz, P Nielsen, Z Banaszak, A Thibbotuwawa
International Symposium on Distributed Computing and Artificial Intelligence …, 2018
142018
The bullwhip effect in supply chains with stochastic lead times
Z Michna, IE Nielsen, P Nielsen
Mathematical Economics, 71-88, 2013
132013
The impact of lead time forecasting on the bullwhip effect
Z Michna, P Nielsen
arXiv preprint arXiv:1309.7374, 2013
112013
Developing location indicators for Agricultural Service Center: a Delphi–TOPSIS–FAHP approach
M Zangeneh, A Akram, P Nielsen, A Keyhani
Production & Manufacturing Research 3 (1), 124-148, 2015
92015
Deployment of battery swapping stations for unmanned aerial vehicles subject to cyclic production flow constraints
G Bocewicz, P Nielsen, Z Banaszak, A Thibbotuwawa
International Conference on Information and Software Technologies, 73-87, 2018
82018
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