Selection of Sustainable Supplier for Medical Centers with Data Envelopment Analysis (DEA) & Multi-Attributed Utility Theory (MAUT) Approaches

Supplier selection among alternative scenarios by Data envelopment analysis

A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportatio...

Supplier Selection in Supply Chain Management by Data Envelopment Analysis

Nowadays, managing a supply chain is turned to be one of the fundamentals of business process.  In doing so, investigating and analyzing each and every of the processes and selecting the best of each process is an important challenge for strategic managers. In this paper Data Envelopment Analysis (DEA) technique is used and a model is provided for selecting the best suppliers with flexible inpu...

Developing a Data Envelopment Analysis Methodology for Supplier Selection in the Presence of Fuzzy Undesirable Factors

Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis

The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due to the rapidly changing environment, and different perspectives are needed to be considered. The...

An Intelligence-Based Model for Supplier Selection Integrating Data Envelopment Analysis and Support Vector Machine

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 sco...

Sustainable Supplier Selection: A New Integrated Approach of Fuzzy Interpretive Structural Modeling and Dynamic Network Data Envelopment Analysis

Data envelopment analysis (DEA), as a well-established nonparametric method, is used to meet efficiency evaluation purposes in many businesses, organizations, and decision units. This paper aims to present a novel integrated approach to fuzzy interpretive structural modeling (FISM) and dynamic network data envelopment analysis (DNDEA) for the selection and ranking of sustainable suppliers. Firs...