@inbook{932b1890999048f89189b25c7ab1c6d5,
title = "Green supply chain technology: A comprehensive evaluation and justification multiattribute decision modeling approach",
abstract = "Green and sustainable supply chain activities are implemented as organizations and their partners respond to environmental pressures. Many of these activities require supporting technologies to help meet their goals. These technologies may include product, process, or organizational technologies that can help in planning and managing the activities. The evaluation of these technologies is not always a trivial approach that is based only on cost. Multiple factors and attributes come are considered in such situations. Thus, tools and models to help in green supply chain management technology evaluation and justification decisions can prove valuable. Using regular, grey, and fuzzy numbers within a TOPSIS methodology we seek to address this issue. Data is evaluated with an illustrative illustration to exemplify the utility of this approach. Insights for the reader are also presented in this Chapter.",
keywords = "Fuzzy number, Green supply chain technology, Grey number, TOPSIS, 512 Business and Management",
author = "Chunguang Bai and Joseph Sarkis",
year = "2014",
doi = "10.1007/978-3-642-53939-8_28",
language = "English",
isbn = "9783642539381",
series = "Studies in Fuzziness and Soft Computing",
publisher = "Springer Verlag",
pages = "655--679",
editor = "Cengiz Kahraman and Ba{\c s}ar {\"O}ztay{\c s}i",
booktitle = "Supply Chain Management Under Fuzziness",
address = "Germany",
}
