Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic

V Dohale, M Akarte, A Gunasekaran… - International Journal of …, 2024 - Taylor & Francis
The ever-happening disruptive events interrupt the operationalisation of manufacturing
organisations resulting in stalling the production flow and depleting societies with products …

[HTML][HTML] Uncertainty analysis and optimization modeling with application to supply chain management: a systematic review

L Chen, T Dong, J Peng, D Ralescu - Mathematics, 2023 - mdpi.com
In recent years, there have been frequent cases of impact on the stable development of
supply chain economy caused by uncertain events such as COVID-19 and extreme weather …

Analyzing the enablers of circular supply chain using Neutrosophic-ISM method: lessons from the Indian apparel industry

V Dohale, P Ambilkar, A Kumar, SK Mangla… - … International Journal of …, 2023 - emerald.com
Purpose This research identifies the enablers for implementing circular supply chains
(CSCEs) and analyzes interrelationships between them to quantify their driving and …

Spare part segmentation for additive manufacturing–A framework

S Ghuge, V Dohale, M Akarte - Computers & Industrial Engineering, 2022 - Elsevier
Organizations strive to find new ways to manage the production of strategic spare parts with
unanticipated demand and high delivery time. Additive Manufacturing (AM) is a …

Manufacturing strategy 4.0: a framework to usher towards industry 4.0 implementation for digital transformation

V Dohale, P Verma, A Gunasekaran… - Industrial management & …, 2022 - emerald.com
Purpose The role of industry 4.0 (I4. 0) technologies for organizations to achieve a
competitive advantage and mitigate disruptive emergency situations are well exhibited in …

Sustailient supplier selection using neutrosophic best–worst approach: a case study of additively manufactured trinkets

P Ambilkar, P Verma, D Das - Benchmarking: An International Journal, 2024 - emerald.com
Purpose This research work has developed an integrated fuzzy Delphi and neutrosophic
best–worst framework for selecting the sustailient (sustainable and resilient) supplier for an …

[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 …

Examining the causal relationships among factors influencing SMEs' competitive advantage: a TISM-neutrosophic MICMAC approach

A John William, M Suresh… - … : An International Journal, 2023 - emerald.com
Purpose Small and medium-sized enterprises (SMEs) are a major source of employment
and revenue growth in developing nations like India, but they also face challenges from …

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 …

A system dynamics model in the humanitarian supply chain based on blockchain technology

E Izadi, M Nikbakht, MR Feylizadeh… - International Journal of …, 2023 - Elsevier
One of the most important issues in the Humanitarian Supply Chain (HSC) is the delivery of
goods at the right time and at the right cost, the ability to track goods, and increase trust …