Economics & Sociology
ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789XIndex PUBMS: f5512f57-a601-11e7-8f0e-080027f4daa0
Article information
| Title: | MEASURING SUPPLY CHAIN ENTROPY USING TSALLIS METHOD |
| Issue: |
Vol. 4, No 2, 2011
Published date: 20-11-2011 (print) / 20-11-2011 (online) |
| Journal: |
Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459 |
| Authors: |
Nasim Nahavandi
Farzad Haghighi Rad |
| Keywords: | entropy, supply chain, uncertainty, Tsallis |
| DOI: | 10.14254/2071-789X.2011/4-2/3 |
| Index PUBMS: | 203380ec-aa13-11e7-8eae-080027f4daa0 |
| Language: | English |
| Pages: | 26-31 (6) |
| Website: | https://www.economics-sociology.eu/?152,en_measuring-supply-chain-entropy-using-tsallis-method |
Abstract
Quantitative techniques for the measurement of uncertainty have been developed in information theory studies. One of these techniques, based on an entropy measurement, has been applied to the assessment of supply chain uncertainty. Using this technique, it is possible to consider two fluctuations. Therefore in this paper for calculating entropy, customer and supplier effects in uncertainty have been employed simultaneously.