A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research …
Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …
years, as it provides competitive advantage for manufacturing companies making industry …
Critical review on ecological, economical and technological aspects of minimum quantity lubrication towards sustainable machining
To reduce the intensity of friction, wear, heat and cutting power throughout machining
operations the conventional flood lubrication technique was practiced commonly on shop …
operations the conventional flood lubrication technique was practiced commonly on shop …
Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing
When business practices shift from a traditional open supply chain to a closed loop instead,
the environmental and societal issues are efficiently integrated in business development …
the environmental and societal issues are efficiently integrated in business development …
Fuzzy set theory driven maintenance sustainability performance assessment model: A multiple criteria approach
During the last five decades, manufacturing has radically changed not only due to the
technology development but also because of the new market and environmental …
technology development but also because of the new market and environmental …
A systematic review of empirical studies on green manufacturing: eight propositions and a research framework for digitalized sustainable manufacturing
M Despeisse, A Chari… - Production & …, 2022 - Taylor & Francis
Manufacturers are facing increasing pressures to adapt their operations to meet
sustainability goals. Research and developments on industrial digitalization (aka Industry …
sustainability goals. Research and developments on industrial digitalization (aka Industry …
Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
Context: The selection and use of appropriate multi-criteria decision making (MCDM)
methods for solving complex problems is one of the challenging issues faced by decision …
methods for solving complex problems is one of the challenging issues faced by decision …
Integration of artificial intelligence in sustainable manufacturing: current status and future opportunities
Manufacturing firms often struggle to attain the optimum balance of environmental,
economic, and social goals. Sustainable Manufacturing (SM) is one of the ways to balance …
economic, and social goals. Sustainable Manufacturing (SM) is one of the ways to balance …
Skill transfer support model based on deep learning
The paradigm shift toward Industry 4.0 is not solely completed by enabling smart machines
in a factory but also by facilitating human capability. Refinement of work processes and …
in a factory but also by facilitating human capability. Refinement of work processes and …
Smart recovery decision-making for end-of-life products in the context of ubiquitous information and computational intelligence
Smart product recovery decision-making (SRDM) plays a critical role in the closed-loop
manufacturing chain. SRDM can facilitate the maximum reclamation of End-of-Life product …
manufacturing chain. SRDM can facilitate the maximum reclamation of End-of-Life product …
A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines
Agricultural machinery distribution programs are key components of the Philippine
government to strengthen its economic productivity. However, concerns were reported that …
government to strengthen its economic productivity. However, concerns were reported that …