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A survey of multi-criteria decision-making techniques for green logistics and low-carbon transportation systems
G Tian, W Lu, X Zhang, M Zhan, MA Dulebenets… - … Science and Pollution …, 2023 - Springer
With the increasing severity of environmental problems, low-carbon development has
become an inevitable choice. Nowadays, low-carbon green sustainable development is …
become an inevitable choice. Nowadays, low-carbon green sustainable development is …
Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research
A Kassa, D Kitaw, U Stache, B Beshah… - Computers & Industrial …, 2023 - Elsevier
Today's supply chains (SC) have become vulnerable to unexpected and ever-intensifying
disruptions from myriad sources. Consequently, the concept of supply chain resilience …
disruptions from myriad sources. Consequently, the concept of supply chain resilience …
Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment.
In the last decades, the quality of water has been impacted by contamination and pollution …
In the last decades, the quality of water has been impacted by contamination and pollution …
Machine learning and optimization models for supplier selection and order allocation planning
Supplier selection and order allocation have significant roles in supply chain management.
These processes become major challenges when the demand is uncertain. This research …
These processes become major challenges when the demand is uncertain. This research …
Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
A fuzzy multi-objective decision-making model for global green supplier selection and order allocation under quantity discounts
H Ali, J Zhang - Expert Systems with Applications, 2023 - Elsevier
The selection of potential suppliers has recently become a big challenge for the
manufacturing industries due to the rapid spread of covid-19 and the escalating frequency of …
manufacturing industries due to the rapid spread of covid-19 and the escalating frequency of …
[HTML][HTML] An integrated machine learning and MARCOS method for supplier evaluation and selection
Evaluating and selecting suitable suppliers involves several criteria, making it a complex
and difficult problem for decision-makers. Several approaches have been developed to help …
and difficult problem for decision-makers. Several approaches have been developed to help …
A systematic procurement supply chain optimization technique based on industrial internet of things and application
Y Liu, C Yang, K Huang, W Gui… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Smart manufacturing has become mainstream in the development of manufacturing industry,
where Industrial Internet of Things plays a critical role. In this article, a systematic intelligent …
where Industrial Internet of Things plays a critical role. In this article, a systematic intelligent …
A barrier evaluation framework for forest carbon sink project implementation in China using an integrated BWM-IT2F-PROMETHEE II method
Q Wei, C Zhou, Q Liu, W Zhou, J Huang - Expert systems with applications, 2023 - Elsevier
Forest carbon sink project (FCSP) has received growing attention for its outstanding
advantages in carbon emission reduction, environment protection, and achieving the carbon …
advantages in carbon emission reduction, environment protection, and achieving the carbon …
[HTML][HTML] A hybrid multi-criteria decision-making and machine learning approach for explainable supplier selection
Supplier selection has become increasingly complex regarding selection criteria caused by
expanded data collection processes and supplier numbers due to globalisation effects. This …
expanded data collection processes and supplier numbers due to globalisation effects. This …