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 …
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 …
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite
different from that of classical computers in terms of speed and methods of operations. This …
different from that of classical computers in terms of speed and methods of operations. This …
Annotation-free discovery of functional groups in microbial communities
Recent studies have shown that microbial communities are composed of groups of
functionally cohesive taxa whose abundance is more stable and better-associated with …
functionally cohesive taxa whose abundance is more stable and better-associated with …
Optimal design and operations of supply chain networks for water management in shale gas production: MILFP model and algorithms for the water‐energy nexus
The optimal design and operations of water supply chain networks for shale gas production
is addressed. A mixed‐integer linear fractional programming (MILFP) model is developed …
is addressed. A mixed‐integer linear fractional programming (MILFP) model is developed …
Sustainable design and synthesis of energy systems
Highlights•State-of-the-art review of sustainable design and synthesis of energy
systems.•Research challenges of the superstructure optimization approach.•Incorporating …
systems.•Research challenges of the superstructure optimization approach.•Incorporating …
Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective
This paper addresses the optimal design and planning of the advanced hydrocarbon biofuel
supply chain with the unit cost objective. Benefited from the drop-in properties of advanced …
supply chain with the unit cost objective. Benefited from the drop-in properties of advanced …
Sustainable design and operation of cellulosic bioelectricity supply chain networks with life cycle economic, environmental, and social optimization
D Yue, M Slivinsky, J Sumpter… - Industrial & Engineering …, 2014 - ACS Publications
In this work, we propose a novel multiobjective optimization model for the sustainable
design and operation of bioelectricity supply chain networks, which simultaneously accounts …
design and operation of bioelectricity supply chain networks, which simultaneously accounts …
A computational framework and solution algorithms for two‐stage adaptive robust scheduling of batch manufacturing processes under uncertainty
A novel two‐stage adaptive robust optimization (ARO) approach to production scheduling of
batch processes under uncertainty is proposed. We first reformulate the deterministic mixed …
batch processes under uncertainty is proposed. We first reformulate the deterministic mixed …
Deciphering and handling uncertainty in shale gas supply chain design and optimization: Novel modeling framework and computationally efficient solution algorithm
The optimal design and operations of shale gas supply chains under uncertainty of
estimated ultimate recovery (EUR) is addressed. A two‐stage stochastic mixed‐integer …
estimated ultimate recovery (EUR) is addressed. A two‐stage stochastic mixed‐integer …