A review on the 40 years of existence of data envelopment analysis models: historic development and current trends
DEA, incepted in 80s, has emerged as a popular decision-making technique, for
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …
From data to big data in production research: the past and future trends
Data have been utilised in production research in meaningful ways for decades. Recent
years have offered data in larger volumes and improved quality collected from diverse …
years have offered data in larger volumes and improved quality collected from diverse …
[HTML][HTML] A machine learning framework to improve effluent quality control in wastewater treatment plants
Due to the intrinsic complexity of wastewater treatment plant (WWTP) processes, it is always
challenging to respond promptly and appropriately to the dynamic process conditions in …
challenging to respond promptly and appropriately to the dynamic process conditions in …
Application of extreme learning machine for short term output power forecasting of three grid-connected PV systems
The power output (PO) of a photovoltaic (PV) system is highly variable because of its
dependence on solar irradiance and other meteorological factors. Hence, accurate PO …
dependence on solar irradiance and other meteorological factors. Hence, accurate PO …
Applications of data envelopment analysis in supplier selection between 2000 and 2020: A literature review
P Dutta, B Jaikumar, MS Arora - Annals of Operations Research, 2022 - Springer
Purchasing occupies a strategic role in supply chain management for a firm and is the driver
of competitive advantage. Owing to the high purchase cost to revenue ratio, decisions such …
of competitive advantage. Owing to the high purchase cost to revenue ratio, decisions such …
A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …
field of internal combustion engine. The increase in the demand for alternative fuel is …
How would big data support societal development and environmental sustainability? Insights and practices
The theme of this Special Volume (SV) focuses on improving natural resource management
and human health to ensure sustainable societal development. Natural resources have …
and human health to ensure sustainable societal development. Natural resources have …
A literature review on the application of digital technology in achieving green supply chain management
Y Wang, Y Yang, Z Qin, Y Yang, J Li - Sustainability, 2023 - mdpi.com
Digitization and greening have become the characteristics of social and economic
development. Digital technology, as a critical enabler of green supply chain management …
development. Digital technology, as a critical enabler of green supply chain management …
A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions
This study determines the potential barriers to achieving circularity in dairy supply chains; it
proposes a framework which covers big data driven solutions to deal with the suggested …
proposes a framework which covers big data driven solutions to deal with the suggested …
Data-driven hybrid multiple attribute decision-making model for green supplier evaluation and performance improvement
Multi-attribute decision-making (MADM) is the most commonly used methodology for green
supplier evaluation and performance improvement. Previous MADM models have mainly …
supplier evaluation and performance improvement. Previous MADM models have mainly …