Articles with "robust possibilistic" as a keyword



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Robust possibilistic programming for multi-item EOQ model with defective supply batches: Whale Optimization and Water Cycle Algorithms

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Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3492-3

Abstract: AbstractThis paper proposes a new mathematical model for multi-product economic order quantity model with imperfect supply batches. The supply batch is inspected upon arrival using “all or None” policy and if found defective, the whole… read more here.

Keywords: algorithms; supply batches; model; possibilistic programming ... See more keywords
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A multi-objective robust possibilistic programming approach to sustainable switchgrass-based bioethanol supply chain network design

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Published in 2018 at "Journal of Cleaner Production"

DOI: 10.1016/j.jclepro.2017.12.218

Abstract: Abstract This paper proposes a multi-objective robust possibilistic programming model for the design of a sustainable switchgrass-based bioethanol supply chain network under the epistemic uncertainty of input data considering conflicting economic, environmental and social objectives.… read more here.

Keywords: supply; objective robust; multi objective; supply chain ... See more keywords
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A robust possibilistic programming model for production-routing problem in a three-echelon supply chain

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Published in 2021 at "Journal of Modelling in Management"

DOI: 10.1108/jm2-06-2020-0162

Abstract: Purpose This paper aims to provide an integrated production-routing model in a three-echelon supply chain containing a two-layer transportation system to minimize the total costs of production, transportation, inventory holding and expired drugs treatment. In… read more here.

Keywords: problem; robust possibilistic; three echelon; production ... See more keywords
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A Sparse Framework for Robust Possibilistic K-Subspace Clustering

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Published in 2023 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2022.3195298

Abstract: Clustering noisy, high-dimensional, and structurally complex data have always been a challenging task. As most existing clustering methods are not able to deal with both the adverse impact of noisy samples and the complex structures… read more here.

Keywords: sparse framework; possibilistic subspace; robust possibilistic; subspace ... See more keywords