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 …, 2022 - 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] Data-driven review of additive manufacturing on supply chains: Regionalization, key research themes and future directions

M Akbari - Computers & Industrial Engineering, 2023 - Elsevier
Additive manufacturing (AM) has the potential to greatly impact supply chains in a number of
positive ways, particularly in regional and remote locations. This study aimed to identify the …

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 …

Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study

CF Chien, CC Ku, YY Lu - Computers & Industrial Engineering, 2023 - Elsevier
Demand forecast for spare parts in supply chains is essential for ensuring customer
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …

A hierarchical component model for sustainable performance measurement of maintenance practices: A fourth-order PLS-SEM approach

A Saihi, M Ben-Daya, R As' ad - Computers & Industrial Engineering, 2023 - Elsevier
Despite the growing recognition of the significant role played by effective maintenance
practices in pursuing sustainability goals, a rigorous and validated method to assess and …

A digital twin-enabled digital spare parts supply chain

M Peron - International Journal of Production Research, 2024 - Taylor & Francis
An efficient and effective spare parts supply chain management is crucial to ensure highly
available production systems. However, achieving such a spare parts supply chain …

[HTML][HTML] Modeling enablers of agile and sustainable sourcing networks in a supply chain: a case of the plastic industry

MZ Khan, A Kumar, Y Liu, P Gupta, D Sharma - Journal of Cleaner …, 2024 - Elsevier
To compete in emerging markets, a supply chain must perform well. Agile and sustainable
sourcing practices can improve supply chain performance; however, their impact needs an …

Spare parts made by additive manufacturing to improve preventive maintenance

R Lastra, A Pereira, M Díaz-Cacho, J Acevedo… - Applied Sciences, 2022 - mdpi.com
This research work is aimed at identifying the applicability of additive manufacturing (AM) to
spare parts in the automotive manufacturing industry, specifically in the field of preventive …