A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

M Shayganmehr, A Kumar, S Luthra… - Journal of Cleaner …, 2021 - Elsevier
This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …
被引用次数：23 相关文章

A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

M Shayganmehr, A Kumar, S Luthra… - Journal of Cleaner …, 2021 - ui.adsabs.harvard.edu
This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …

A Framework for Assessing Sustainability in Multi-tier Supply Chains using Empirical Evidence and Fuzzy Expert System

M Shayganmehr, A Kumar, S Lutha… - Journal of Cleaner …, 2021 - repository.derby.ac.uk
This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …

A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

M Shayganmehr, A Kumar… - Journal of …, 2021 - repository.londonmet.ac.uk
This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …

A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

M Shayganmehr, A Kumar… - Journal of …, 2021 - repository.londonmet.ac.uk
This study investigates various factors for assessing sustainability in Multi-tier Supply Chains
(MtSCs) using a hybrid approach consisting of an empirical study and fuzzy expert system …

[引用][C] A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

M Shayganmehr, A Kumar, S Luthra, JA Garza-Reyes - 2021