Results 71 to 80 of about 45,823 (295)

Robust Optimization for a Maritime Inventory Routing Problem [PDF]

open access: yesTransportation Science, 2018
We consider a single product maritime inventory routing problem in which the production and consumption rates are constant over the planning horizon. The problem involves a heterogeneous fleet and multiple production and consumption ports with limited storage capacity. Maritime transportation is characterized by high levels of uncertainty, and sailing
Agostinho Agra   +3 more
openaire   +4 more sources

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi   +3 more
wiley   +1 more source

Dynamic UAV-based traffic monitoring under uncertainty as a stochastic arc-inventory routing policy

open access: yesInternational Journal of Transportation Science and Technology, 2016
Given the rapid advances in unmanned aerial vehicles, or drones, and increasing need to monitor at a city level, one of the current research gaps is how to systematically deploy drones over multiple periods.
Joseph Y.J. Chow
doaj   +1 more source

On two-echelon inventory systems with Poisson demand and lost sales [PDF]

open access: yes, 2011
We derive approximations for the service levels of two-echelon inventory systems with lost sales and Poisson demand. Our method is simple and accurate for a very broad range of problem instances, including cases with both high and low service levels.
Alvarez, Elisa   +1 more
core   +1 more source

Deliver or hold: Approximation Algorithms for the Periodic Inventory Routing Problem [PDF]

open access: yes, 2014
The inventory routing problem involves trading off inventory holding costs at client locations with vehicle routing costs to deliver frequently from a single central depot to meet deterministic client demands over a finite planing horizon. In this paper,
Fukunaga, Takuro   +2 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Inventory-routing model, for a multi-period problem with stochastic and deterministic demand [PDF]

open access: yes
The need for integration in the supply chain management leads us to consider the coordination of two logistic planning functions: transportation and inventory.
Helena Ramalhinho-Lourenço   +1 more
core  

A semantic approach to reachability matrix computation [PDF]

open access: yes, 2015
The Cyber Security is a crucial aspect of networks management. The Reachability Matrix computation is one of the main challenge in this field. This paper presents an intelligent solution in order to address the Reachability Matrix computational ...
CILIA, NICOLE DALIA   +2 more
core  

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

open access: yesAgribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin   +1 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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