Supply chain optimization: bibliometric analysis, research structure and future outlook
Purpose Supply chain (SC) research has boomed over the past two decades. Significant
contributions have been made to the field from various analytical and decision-making …
contributions have been made to the field from various analytical and decision-making …
[HTML][HTML] A novel data-driven rolling horizon production planning approach for the plastic industry under the uncertainty of demand and recycling rate
R Larizadeh, BM Tosarkani - Expert Systems with Applications, 2025 - Elsevier
Efficient production planning in the plastic industry requires integrating sustainability
practices, particularly the use of recycled plastics. Recycling helps reduce environmental …
practices, particularly the use of recycled plastics. Recycling helps reduce environmental …
[HTML][HTML] Constraint learning approaches to improve the approximation of the capacity consumption function in lot-sizing models
Classical capacitated lot-sizing models include capacity constraints relying on a rough
estimation of capacity consumption. The plans resulting from these models are often not …
estimation of capacity consumption. The plans resulting from these models are often not …
Demand response scheduling using derivative-based dynamic surrogate models
A Di Pretoro, B Bruns, S Negny, M Grünewald… - Computers & Chemical …, 2022 - Elsevier
When assessing demand response to solve optimal scheduling problems, the optimization
algorithm needs to be coupled with the process model in order to quantify the behavior of …
algorithm needs to be coupled with the process model in order to quantify the behavior of …
Machine learning methods for endocrine disrupting potential identification based on single-cell data
Humans are continuously exposed to a variety of toxicants and chemicals which is
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
exacerbated during and after environmental catastrophes such as floods, earthquakes, and …
[HTML][HTML] Analysis of strategic bidding of a DER aggregator in energy markets through the Stackelberg game model with the mixed-integer lower-level problem
An open electricity market environment provides sufficient conditions for a distributed energy
resource (DER) aggregator to participate in the day-ahead electricity market. Therefore, a …
resource (DER) aggregator to participate in the day-ahead electricity market. Therefore, a …
Distributional reinforcement learning for scheduling of chemical production processes
Reinforcement Learning (RL) has recently received significant attention from the process
systems engineering and control communities. Recent works have investigated the …
systems engineering and control communities. Recent works have investigated the …
[HTML][HTML] Model-predictive energy management system for thermal batch production processes using online load prediction
F Fuhrmann, A Schirrer, M Kozek - Computers & Chemical Engineering, 2022 - Elsevier
Predictive energy management systems (EMS) enable industrial plants to participate in the
modern power market and reduce energy cost. In this paper, a novel modular model …
modern power market and reduce energy cost. In this paper, a novel modular model …
[HTML][HTML] Water-agriculture-ecology nexus synergetic management based on spatiotemporal equilibrium and water transformation: A case study in Aksu River Basin …
T Wang, X Su, H Wu - Agricultural Water Management, 2024 - Elsevier
The temporal variability and spatial heterogeneity characteristics of the water-agriculture-
ecology (WAE) nexus system have aggravated the difficulties in its synergetic management …
ecology (WAE) nexus system have aggravated the difficulties in its synergetic management …
PAMSO: Parametric Autotuning Multi-time Scale Optimization Algorithm
A Ramanujam, C Li - arXiv preprint arXiv:2407.16570, 2024 - arxiv.org
Optimization models with decision variables in multiple time scales are widely used across
various fields such as integrated planning and scheduling. To address scalability challenges …
various fields such as integrated planning and scheduling. To address scalability challenges …