چکیده:
The importance of supplier selection is nowadays highlighted more than ever as companies have realized that efficient supplier selection can significantly improve the performance of their supply chain. In this paper, an integrated model that applies Data Envelopment Analysis (DEA) and Support Vector Machine (SVM) is developed to select efficient suppliers based on their predicted efficiency scores. In the first step, fuzzy linguistic variables are changed to crisp data as initial dataset for DEA. Actual efficiency scores are then calculated for each Decision Making Unit (DMU) using CCR-DEA model. Afterwards, suppliers’ performance-related data are used for training SVM-DEA model. A numerical example representing an actual case is provided to indicate the applicability of the model.
خلاصه ماشینی:
"An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine Alireza Fallahpour1, Nima Kazemi2*, Mohammad Molani3, Sina Nayeri4, Mojtaba Ehsani1 1.
In this paper, an integrated model that applies Data Envelopment Analysis (DEA) and Support Vector Machine (SVM) is developed to select efficient suppliers based on their predicted efficiency scores.
com Introduction One of the main objectives of Supply Chain Management (SCM) is to organize and coordinate flow of raw materials and components from different suppliers to manufacturers, aiming at manufacturing the products that meet customers’ expectations (Pagell & Wu, 2017; Fallahpour et al.
Using a kernel function, SVM is an alternative training method for polynomial, radial basis function and multi-layer perceptron classifiers in which the weights of the network are obtained by solving a quadratic programming problem with linear constraints, rather than by solving a non-convex, unconstrained minimization problem as in standard NN training (Lee & To, 2010).
The hybrid model for supplier selection (View the image of this page) Calculating Suppliers’ Efficiency In the CCR model, each DMU designs its own optimal weights and achieves its best efficiency (Zuo & Guan, 2017; Kwon, 2017; Paradi et al.
Conclusion In this study, a new integrated model was developed to help in selecting efficient suppliers in textile industry by using DEA and SVM as an AI-based methodology.
An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach.
An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach."