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 …

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 …

Water quality prediction using machine learning models based on grid search method

MY Shams, AM Elshewey, ESM El-Kenawy… - Multimedia Tools and …, 2024 - Springer
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 …

Machine learning and optimization models for supplier selection and order allocation planning

S Islam, SH Amin, LJ Wardley - International Journal of Production …, 2021 - Elsevier
Supplier selection and order allocation have significant roles in supply chain management.
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

SI Abba, QB Pham, G Saini, NTT Linh… - … Science and Pollution …, 2020 - Springer
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 …

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 …

[HTML][HTML] An integrated machine learning and MARCOS method for supplier evaluation and selection

A Abdulla, G Baryannis, I Badi - Decision Analytics Journal, 2023 - Elsevier
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 …

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 …

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 …

[HTML][HTML] A hybrid multi-criteria decision-making and machine learning approach for explainable supplier selection

A Abdulla, G Baryannis - Supply Chain Analytics, 2024 - Elsevier
Supplier selection has become increasingly complex regarding selection criteria caused by
expanded data collection processes and supplier numbers due to globalisation effects. This …