An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification
The purpose of this study is to develop a hybrid methodology that integrates machine
learning algorithms with multi-criteria decision making (MCDM) techniques to effectively …
learning algorithms with multi-criteria decision making (MCDM) techniques to effectively …
Peer-estimation for multiple criteria ABC inventory classification
JX Chen - Computers & Operations Research, 2011 - Elsevier
Inventory classification is an effective way to manage a large number of items. As a basic
methodology, ABC analysis is widely used for classification. The traditional ABC …
methodology, ABC analysis is widely used for classification. The traditional ABC …
A rule-based multi-criteria approach to inventory classification
J Rezaei, S Dowlatshahi - International Journal of Production …, 2010 - Taylor & Francis
The traditional inventory classification method classifies stock kee** units (SKUs) to three
classes based on their annual dollar usage, while in real world problems, other criteria are …
classes based on their annual dollar usage, while in real world problems, other criteria are …
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 …
Comparative analysis of KNN and SVM in multicriteria inventory classification using TOPSIS
Multi-criteria decision-making (MCDM) methods are used to deal with multiple properties of
products to classify them precisely instead of traditional ABC analysis. However, to remain …
products to classify them precisely instead of traditional ABC analysis. However, to remain …
Fuzzy multicriteria ABC supplier classification in global supply chain
P Kefer, DD Milanovic, M Misita… - … Problems in Engineering, 2016 - Wiley Online Library
The determination of the optimal purchasing strategy in enterprise that is a part of global
supply chain could be performed in two steps. In step one, a classification of potential …
supply chain could be performed in two steps. In step one, a classification of potential …
Fuzzy inference suitability to determine the utilitarian quality of B2C websites
The present paper proposes a new and intuitive model to evaluate the utilitarian e-service
quality on textile and fashion B2C websites in Spain. The relevant variables to include into …
quality on textile and fashion B2C websites in Spain. The relevant variables to include into …
[PDF][PDF] Network design for the dismantling centers of the end-of-life vehicles under uncertainties: a case study
In the past decade, recycling of End-of Life Vehicles (ELV) has arisen as a very important
issue for carmanufactures worldwide, and the improvement of ELV recycling processes has …
issue for carmanufactures worldwide, and the improvement of ELV recycling processes has …
ABC classification of risk factors in production supply chains with uncertain data
The problem of classification of risk factors in an uncertain environment is part of the risk
management problem, which has a critical effect on the competitive advantage of production …
management problem, which has a critical effect on the competitive advantage of production …
Application of the moora method for multi-criteria inventory classification
ABC analysis is conventionally employed in industry to facilitate classification of different
inventory items corresponding to a single criterion of annual consumption cost. In the …
inventory items corresponding to a single criterion of annual consumption cost. In the …