Results 131 to 140 of about 98,660 (303)

Merchants & Planters Compress & Warehouse Co. Statements

, 1946
Invoice for debit from Mrs. H. Kempner's account by Merchants & Planters Compress & Warehouse Co., including labor furnished worth $20 ...
Merchants & Planters Compress & Warehouse Company
core   +1 more source

LEAN WAREHOUSE: AN ANALYSIS OF THE BENEFITS IN THE WAREHOUSE AREA [PDF]

Blucher Engineering Proceedings, 2021
Beatriz Cesar Diego Enriquez Tachy, Matheus Santos Barreto Brás, Rebeca Marques Bomfim, Daniel Rodrigues dos Santos   +3 more
openaire   +1 more source

Design and Control of Warehouse Order Picking: a literature review

Order picking has long been identified as the most labour-intensive and costly activity for almost every warehouse; the cost of order picking is estimated to be as much as 55% of the total warehouse operating expense.
Roodbergen, K.J., Le-Duc, T., Koster, M.B.M. de   +2 more
core  

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Warehouse logistics in Ukraine during the war: Problems and innovative solutions

Innovation and Sustainability
The article analyses the changes that took place in the field of warehouse logistics in Ukraine during the war. In particular, the scale of the destruction of warehouses in different regions, changes in production volumes and turnover, the impact of fuel
V. Bokovets, O. Bezsmertna, I. Shvarts
doaj   +1 more source

Warehouse Logistics 03

, 2022
S.46-47Der Beitrag fasst die wesentlichen Ergebnisse des Kongresses Warehouse Logistics 03 zusammen. Durch das Resummée der Einführungsvorträge und ein kurzes Fazit der zweizügigen Veranstaltung werden die wesentlichen Trends in der Entwicklung der ...
Neuhaus, R.
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

An Integrated Hybrid Model for Evaluating Performance and Allocating Incentives to Order Pickers in E-Commerce Fulfillment

Mathematics
E-commerce has been a rapidly growing sales channel in recent years, with a strong trend toward further expansion. However, logistics companies face significant challenges in the preparation and sorting of orders when delivering shipments purchased ...
Milan Andrejić, Vukašin Pajić
doaj   +1 more source