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Bruno Agard
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Cited by
Year
Measuring transit use variability with smart-card data
C Morency, M Trépanier, B Agard
Transport Policy 14 (3), 193-203, 2007
4042007
Mining public transport user behaviour from smart card data
B Agard, C Morency, M Trépanier
IFAC Proceedings Volumes 39 (3), 399-404, 2006
3362006
Data-mining-based methodology for the design of product families
B Agard, A Kusiak*
International Journal of Production Research 42 (15), 2955-2969, 2004
2512004
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy
MS Ghaemi, DB DiGiulio, K Contrepois, B Callahan, TTM Ngo, ...
Bioinformatics 35 (1), 95-103, 2019
1752019
Calculation of transit performance measures using smartcard data
M Trépanier, C Morency, B Agard
Journal of Public Transportation 12 (1), 79-96, 2009
1402009
Analysing the variability of transit users behaviour with smart card data
C Morency, M Trépanier, B Agard
2006 IEEE intelligent transportation systems conference, 44-49, 2006
1342006
Data mining for improvement of product quality
C Da Cunha, B Agard, A Kusiak
International journal of production research 44 (18-19), 4027-4041, 2006
1162006
A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method
L He, B Agard, M Trépanier
Transportmetrica A: Transport Science 16 (1), 56-75, 2020
1142020
Mutual impacts of product standardization and supply chain design
B Baud-Lavigne, B Agard, B Penz
International Journal of Production Economics 135 (1), 50-60, 2012
1112012
Design for cost: module-based mass customization
C Da Cunha, B Agard, A Kusiak
IEEE Transactions on Automation Science and Engineering 4 (3), 350-359, 2007
1052007
Modular design of product families for quality and cost
B Agard, S Bassetto
International Journal of Production Research 51 (6), 1648-1667, 2013
952013
Car sharing system: what transaction datasets reveal on users' behaviors
C Morency, M Trépanier, B Agard, B Martin, J Quashie
2007 IEEE Intelligent Transportation Systems Conference, 284-289, 2007
802007
Forecast of individual customer’s demand from a large and noisy dataset
PW Murray, B Agard, MA Barajas
Computers & industrial engineering 118, 33-43, 2018
782018
A new method for evaluating the best product end-of-life strategy during the early design phase
M Remery, C Mascle, B Agard
Journal of Engineering Design 23 (6), 419-441, 2012
772012
A simulated annealing method based on a clustering approach to determine bills of materials for a large product family
B Agard, B Penz
International Journal of Production Economics 117 (2), 389-401, 2009
752009
Environmental constraints in joint product and supply chain design optimization
B Baud-Lavigne, B Agard, B Penz
Computers & Industrial Engineering 76, 16-22, 2014
712014
Market segmentation through data mining: A method to extract behaviors from a noisy data set
PW Murray, B Agard, MA Barajas
Computers & Industrial Engineering 109, 233-252, 2017
702017
Forecasting supply chain demand by clustering customers
PW Murray, B Agard, MA Barajas
IFAC-PapersOnLine 48 (3), 1834-1839, 2015
672015
A survey of models and algorithms for emergency response logistics in electric distribution systems. Part I: Reliability planning with fault considerations
N Perrier, B Agard, P Baptiste, JM Frayret, A Langevin, R Pellerin, ...
Computers & Operations Research 40 (7), 1895-1906, 2013
642013
A visual segmentation method for temporal smart card data
MS Ghaemi, B Agard, M Trépanier, V Partovi Nia
Transportmetrica A: Transport Science 13 (5), 381-404, 2017
622017
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