Economics & Sociology

ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789X
Index 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.