[HTML][HTML] Emerging information and communication technologies for smart energy systems and renewable transition
Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …
decarbonization of energy systems is crucial for climate change mitigation. Two major …
[HTML][HTML] Supply chain network design under uncertainty: A comprehensive review and future research directions
Supply chain network design (SCND) is one of the most crucial planning problems in supply
chain management (SCM). Nowadays, design decisions should be viable enough to …
chain management (SCM). Nowadays, design decisions should be viable enough to …
Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming
This paper reviews recent advances in the field of optimization under uncertainty via a
modern data lens, highlights key research challenges and promise of data-driven …
modern data lens, highlights key research challenges and promise of data-driven …
Agribusiness supply chain risk management: A review of quantitative decision models
Supply chain risk management is a large and growing field of research. However, within this
field, mathematical models for agricultural products have received relatively little attention …
field, mathematical models for agricultural products have received relatively little attention …
[HTML][HTML] Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era
Safe, efficient, and sustainable operations and control are primary objectives in industrial
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …
Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the …
Biomass is a valuable renewable source of energy as an alternative to fossil fuels. The main
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …
Quantitative models for managing supply chain risks: A review
As supply chain risk management has transitioned from an emerging topic to a growing
research area, there is a need to classify different types of research and examine the …
research area, there is a need to classify different types of research and examine the …
Biomass-to-bioenergy and biofuel supply chain optimization: Overview, key issues and challenges
This article describes the key challenges and opportunities in modeling and optimization of
biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial …
biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial …
[HTML][HTML] A review of stochastic programming methods for optimization of process systems under uncertainty
C Li, IE Grossmann - Frontiers in Chemical Engineering, 2021 - frontiersin.org
Uncertainties are widespread in the optimization of process systems, such as uncertainties
in process technologies, prices, and customer demands. In this paper, we review the basic …
in process technologies, prices, and customer demands. In this paper, we review the basic …
Supply chain design and optimization: Challenges and opportunities
Optimal supply chain design is vital to the success of industrial concerns now more than
ever before. This paper reviews some principal research opportunities and challenges in the …
ever before. This paper reviews some principal research opportunities and challenges in the …