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SMAA methods and their applications: a literature review and future research directions
Stochastic multicriteria acceptability analysis (SMAA) is a family of multiple criteria decision
making (MCDM) methods dealing with incomplete, imprecise, and uncertain information on …
making (MCDM) methods dealing with incomplete, imprecise, and uncertain information on …
BBO-BPNN and AMPSO-BPNN for multiple-criteria inventory classification
L Cui, Y Tao, J Deng, X Liu, D Xu, G Tang - Expert Systems with …, 2021 - Elsevier
Item classification is an issue among inventory managers who want to achieve key-point
management of items with different emphases, thus prompting managers and researchers to …
management of items with different emphases, thus prompting managers and researchers to …
[HTML][HTML] Desarrollo de un sistema de control de inventario para una empresa comercializadora de sistemas de riego
LM Corella-Parra, J Olea-Miranda - Ingeniería, investigación y …, 2023 - scielo.org.mx
La globalización ha eliminado brechas comerciales que limitaban las relaciones
internacionales, uno de los fundamentos de la economía moderna que impulsó el …
internacionales, uno de los fundamentos de la economía moderna que impulsó el …
[HTML][HTML] Enhancing Inventory Management through Safety-Stock Strategies—A Case Study
Efficient inventory management, including optimal safety-stock levels, is crucial for
operational continuity and cost-effectiveness in various industries. This study seeks the …
operational continuity and cost-effectiveness in various industries. This study seeks the …
Robust sustainable development assessment with composite indices aggregating interacting dimensions: The hierarchical-SMAA-Choquet integral approach
The evaluation of sustainable development–and, in particular, rural development–through
composite indices requires taking into account a plurality of indicators, which are related to …
composite indices requires taking into account a plurality of indicators, which are related to …
SMAA-based model for decision aiding using regret theory in discrete Z-number context
We study stochastic multi-criteria decision-aiding problems with possibilistic and
probabilistic restriction information in the form of a discrete Z-number, which is regarded as …
probabilistic restriction information in the form of a discrete Z-number, which is regarded as …
A non-compensatory classification approach for multi-criteria ABC analysis
MR Douissa, K Jabeur - Soft Computing, 2020 - Springer
ABC analysis is a widespread inventory management technique designed to classify
inventory items—based on their weighted scores—into three ordered categories A, B and C …
inventory items—based on their weighted scores—into three ordered categories A, B and C …
Efficiency evaluation and ranking of supply chains based on stochastic multicriteria acceptability analysis and data envelopment analysis
S Ang, Y Zhu, F Yang - International transactions in operational …, 2021 - Wiley Online Library
Evaluating performance of supply chains has been an important topic in supply chain
management for researchers and practitioners. In this study, we integrate stochastic …
management for researchers and practitioners. In this study, we integrate stochastic …
A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification
ABC analysis is an efficient and easy-to-use methodology to classify inventory based on a
single or multi-criteria basis that may consist of thousands of items. The first study by Dickie …
single or multi-criteria basis that may consist of thousands of items. The first study by Dickie …
Interval cross-efficiency for ranking decision making units using the stochastic multicriteria acceptability analysis-evidential reasoning approach
X Zhang, Q **a, F Yang, S Song, S Ang - Computers & Industrial …, 2021 - Elsevier
The interval cross-efficiency approach is an effective technique to rank decision making
units (DMUs). It somewhat alleviates the selection difficulties between benevolent and …
units (DMUs). It somewhat alleviates the selection difficulties between benevolent and …