M
Md. Noor-E-Alam
Researcher at Northeastern University
Publications - 36
Citations - 422
Md. Noor-E-Alam is an academic researcher from Northeastern University. The author has contributed to research in topics: Solver & Integer programming. The author has an hindex of 10, co-authored 36 publications receiving 262 citations. Previous affiliations of Md. Noor-E-Alam include Bangladesh University of Engineering and Technology & University of Alberta.
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Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)
TL;DR: This work proposes two algorithms namely possibility measure and averaging conflict aggregation, which integrate the possibility theory of fuzzy logic with a maximal containment method that is designed based on the decision problem.
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Resilient supplier selection in logistics 4.0 with heterogeneous information
TL;DR: A Decision Support System (DSS) is developed that will help the decision maker to incorporate and process such imprecise heterogeneous data in a unified framework to rank a set of resilient suppliers in the logistic 4.0 environment.
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A machine learning based stochastic optimization framework for a wind and storage power plant participating in energy pool market
TL;DR: A decision-making framework for a Wind and Storage Power Plant participating in the pool market to handle the uncertainty associated with the parameters of energy price and available wind energy is developed.
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A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems
TL;DR: In this research, state-rate dependence denoting interaction between component health condition (degradation state) and failure rate is proposed for degradation and failure analysis for a two-component repairable system.
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A column generation algorithm for vehicle scheduling and routing problems
TL;DR: A variant of a truckload open vehicle routing problem with time windows, suitable for modeling vehicle routing operations during a humanitarian crisis, is considered and it is shown that the path-based model, when solved with the column generation algorithm, outperforms the arc- based model in terms of solution time without sacrificing the solution quality.