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About Applied Mathematical Modelling: Amir Shabani, Reza Farzipoor Saen, Seyed Mohammad Reza Torabipour
This document presents a new mathematical model for benchmarking sales agents in cold chain management. The model considers both imprecise data and non-discretionary factors, which have not been included in previous benchmarking models. It uses data envelopment analysis to identify the most efficient sales agents based on multiple input and output criteria. The authors apply the model to data from 29 sales agents to demonstrate how it can be used to select the best performers and improve cold chain management. The model contributes a new approach for benchmarking in supply chains that handles real-world complications like uncertain data and uncontrollable factors.
Detailed Information
| Author: | ['Jean Pierre Hancco Ramos'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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