Decision-making frameworks in additive manufacturing management: mapping present landscape and establishing future research avenues

S Ghuge, M Akarte, R Raut - Benchmarking: An International Journal, 2024 - emerald.com
Purpose The study aims to explore the available academic literature on the decision-making
frameworks used in additive manufacturing management (AMM). Design/methodology …

[HTML][HTML] An integrated MCDM-ML approach for predicting the carbon neutrality index in manufacturing supply chains

V Dohale, S Kamble, P Ambilkar, S Gold… - … Forecasting and Social …, 2024 - Elsevier
Organizations across the globe are devising novel approaches to strive for carbon neutrality.
Global institutions have manifested the critical need to develop reasonable strategies in …

Evaluating circular economy and smart technology adoption barriers in the Indian textile and apparel industries using neutrosophic ISM

V Dohale, P Ambilkar, V Bilolikar, BE Narkhede… - Annals of Operations …, 2023 - Springer
The rise of globalization and digitization provoked textile and apparel industries worldwide
to change their traditional business models. The textile and apparel manufacturing …

[HTML][HTML] Sustainability, Resiliency, and Artificial Intelligence in Supplier Selection: A Triple-Themed Review

H Mirzaee, S Ashtab - Sustainability, 2024 - mdpi.com
The process of selecting suppliers is a critical and multifaceted aspect of supply chain
management, involving numerous criteria and decision-making variables. This complexity …

Critical factors to sustaileanant innovations for net-zero achievement in the manufacturing supply chains

V Dohale, P Ambilkar, SK Mangla… - Journal of Cleaner …, 2024 - Elsevier
The importance of reducing carbon emissions to safeguard the environment for generations
is widely recognized worldwide. Countries are putting in efforts to lower their carbon …

Additive manufacturing service bureau selection: A Bayesian network integrated framework

S Ghuge, M Akarte - International Journal of Production Economics, 2024 - Elsevier
Additive manufacturing service bureaus (AMSBs) are crucial for enabling manufacturing
organizations to leverage the benefits of additive manufacturing (AM) technology, such as …

An assessment framework to evaluate the critical success factors to Quality 4.0 transition in developing countries: a case experience of sustainable performance of …

S Joshi, M Sharma, S Luthra, JA Garza-Reyes… - The TQM …, 2024 - emerald.com
Purpose The research aims to develop an assessment framework that evaluates critical
success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms …

Using inverse DEA and machine learning algorithms to evaluate and predict suppliers' performance in the apple supply chain

SW Lin, WM Lu - International Journal of Production Economics, 2024 - Elsevier
In an era where sustainability is paramount, this study presents a novel analytical framework
that uses inverse data envelopment analysis (IDEA) and machine learning to optimize …

[HTML][HTML] An integrated best-worst method and fuzzy TOPSIS for resilient-sustainable supplier selection

S Varchandi, A Memari, MRA Jokar - Decision Analytics Journal, 2024 - Elsevier
Achieving a balance between economic, environmental, and social factors in supplier
selection while prioritizing business continuity poses a considerable challenge. It is …

Advancing Sustainable Decision Making in Additive Manufacturing: A Comprehensive Review of Multi-Criteria Decision Making Approaches

ASF Alves, JP Oliveira, R Godina - Clean Technologies, 2024 - mdpi.com
Additive manufacturing (AM) is one of the technologies of Industry 4.0 that has been
contributing to the development of different manufacturing industries. The integration of …