Results 101 to 110 of about 34,160 (311)
Algorithms for On-line Order Batching in an Order-Picking Warehouse [PDF]
In manual order picking systems, order pickers walk or ride through a distribution warehouse in order to collect items required by (internal or external) customers.
Sebastian Henn
core
Model based systems engineering and warehouse design
S.161-178This paper reports on the results of an ongoing collaboration between the Fraunhofer IML and the Georgia Institute of Technology to develop engineering methods and tools to support warehouse design.
Spee, Detlef +2 more
core
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Implications for Using Digital Twins to Enhance Safety in Warehouse 4.0 Design
Warehouse 4.0 is the digital transformation of traditional warehouse operations by integrating advanced technologies and automation systems. Digital twin (DT) technology is one of the technologies that can be leveraged to enhance safety in warehouse 4.0 ...
Jing Wu +3 more
doaj
A case study of business intelligence applications for business users [PDF]
This research is conducted in two parts, with the first part reviewing the standard industry approach to providing organisations with business intelligence (BI) architecture.
Taylor, Beverley
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This study presents a mathematical model for optimizing warehouse-location decisions in supply-chain network design. Previous studies have focused on the facility-location problem and provided fortification plans and solutions. However, these studies did
Tareq Oshan
doaj +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. +2 more
core
Um modelo para a implantação de um Data Mart de Clickstream para empresas provedoras de acesso à internet de pequeno e médio porte [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção.Data warehousing é um dos campos de Sistemas de Apoio a Decisão (SAD) com mais rápida expansão na recente Tecnologia ...
Olanyk, Luís Roberto Zart
core

