Leslie Monplaisir

Affiliations: 
Wayne State University, Detroit, MI, United States 
Area:
Industrial Engineering
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"Leslie Monplaisir"
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Publications

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Zandi A, Ramezanian R, Monplaisir L. (2020) Green parallel machines scheduling problem: A bi-objective model and a heuristic algorithm to obtain Pareto frontier Journal of the Operational Research Society. 71: 967-978
Nesaz HH, Jasemi M, Monplaisir L. (2020) A New methodology for Multi-period Portfolio Selection based on the Risk Measure of Lower Partial Moments Expert Systems With Applications. 144: 113032
Jasemi M, Monplaisir L, Jam PA. (2019) Development of an efficient method to approximate the risk measure of Lower Partial Moment of the first order Computers & Industrial Engineering. 135: 326-332
Si W, Yang Q, Monplaisir L, et al. (2018) Reliability Analysis of Repairable Systems With Incomplete Failure Time Data Ieee Transactions On Reliability. 67: 1043-1059
Afrin K, Nepal BP, Monplaisir L. (2018) A data-driven framework to new product demand prediction: Integrating product differentiation and transfer learning approach Expert Systems With Applications. 108: 246-257
Ahmadi E, Jasemi M, Monplaisir L, et al. (2018) New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic Expert Systems With Applications. 94: 21-31
Aguwa C, Olya MH, Monplaisir L. (2017) Modeling of fuzzy-based voice of customer for business decision analytics Knowledge Based Systems. 125: 136-145
Fadeyi JA, Monplaisir L, Aguwa C. (2017) The integration of core cleaning and product serviceability into product modularization for the creation of an improved remanufacturing-product service system Journal of Cleaner Production. 159: 446-455
Kremer GE, Haapala K, Murat A, et al. (2016) Directions for instilling economic and environmental sustainability across product supply chains Journal of Cleaner Production. 112: 2066-2078
Limon S, Yadav OP, Nepal B, et al. (2015) Enabling comprehensive failure analysis of complex physical system using cognitive map-based approach International Journal of Quality Engineering and Technology. 5: 114-144
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