Research on power system flexibility considering uncertainties
C Yang, W Sun, D Han, X Yin - Frontiers in Energy Research, 2022 - frontiersin.org
In order to help achieve the goal of carbon peak and carbon neutrality, the large-scale
development and application of clean renewable energy, like wind generation and solar …
development and application of clean renewable energy, like wind generation and solar …
A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning
As one of the most complex parts in manufacturing systems, scheduling plays an important
role in the efficient allocation of resources to meet individual customization requirements …
role in the efficient allocation of resources to meet individual customization requirements …
A distributionally robust optimization model for inventory-transportation integrated optimization problem of petroleum products under uncertainty
X Xu, Z Chen, Y Song, W Yi - Computers & Operations Research, 2024 - Elsevier
In the downstream supply chain of petroleum products, the logistics planning optimization is
a crucial issue that not only involves the inventory management of oil depots to stabilize …
a crucial issue that not only involves the inventory management of oil depots to stabilize …
Wasserstein distance‐based distributionally robust parallel‐machine scheduling
Y Yin, Z Luo, D Wang, TCE Cheng - Omega, 2023 - Elsevier
Recent research on distributionally robust (DR) machine scheduling has used a variety of
approaches to describe the region of ambiguity of uncertain processing times by imposing …
approaches to describe the region of ambiguity of uncertain processing times by imposing …
Bi-objective scenario-guided swarm intelligent algorithms based on reinforcement learning for robust unrelated parallel machines scheduling with setup times
B Wang, K Feng, X Wang - Swarm and Evolutionary Computation, 2023 - Elsevier
This paper addresses an uncertain unrelated parallel machine scheduling problem
(UPMSP) with setup times, which is referred to the scenario UPMSP since uncertain …
(UPMSP) with setup times, which is referred to the scenario UPMSP since uncertain …
Big data analytics in production and distribution management
Production and distribution are two key constituents of a supply chain. In view of the growing
availability of data and advances in big data analytics techniques, there have been more …
availability of data and advances in big data analytics techniques, there have been more …
Single machine scheduling with release dates: A distributionally robust approach
H Lu, Z Pei - European Journal of Operational Research, 2023 - Elsevier
In the present study, a single machine scheduling problem with job release dates is
considered, where the job processing time is depicted by an ambiguity set, with the mean …
considered, where the job processing time is depicted by an ambiguity set, with the mean …
Target-based distributionally robust optimization for single machine scheduling
In the traditional single-machine scheduling problem with uncertain processing time,
distributionally robust optimization models are established in situations where the …
distributionally robust optimization models are established in situations where the …
Handling uncertainty in the quay crane scheduling problem: a unified distributionally robust decision model
Quay cranes are among the most important resources in port terminals, and their efficient
use is crucial for port terminals to remain competitive in the market. The problem of …
use is crucial for port terminals to remain competitive in the market. The problem of …
Branch-and-price approach for robust parallel machine scheduling with sequence-dependent setup times
This paper studies a machine scheduling problem that minimizes the worst-case total
tardiness for unrelated parallel machines with sequence-dependent setup and uncertain …
tardiness for unrelated parallel machines with sequence-dependent setup and uncertain …