atributos da distribuição de carga e indicadores de desempenho logístico: pesquisa com empresas que atuam na região metropolitana de são paulo

Clicks: 133
ID: 191123
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #12 of 33 articles by views in nature machine intelligence

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The paper aims to analyze the attributes which negatively impact on urban freight transport, taking into account the viewpoints of logistic service providers (LSPs) and carriers. These attributes are related to regulations for traffic and delivery of goods, risk on delivery, collaboration between such companies involved in the transport of goods, logistics factors and environmental requirements. The Logistics Performance Indicators (LPI) adopted by those companies are also investi-gated. A survey was carried out with 119 representatives of the LSP and carriers who work in the São Paulo Metropolitan Region (SPMR). According to these representatives, traffic congestion, cargo theft and zone circulation for cargo vehicles are the main issues that hinder the delivery of goods. The seasonality of deliveries during the month and the long queues for loading/unloading were pointed out as the main issues by the LSP; while the lack of adequate places to park and loading/un-loading were emphasized by the carriers. Scheduled delivery fulfillment, urgent delivery on time and goods deliveries in the last week of the month seem to be less effected by urban freight transport attributes.
Reference Key
vieira2016transportesatributos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;José Geraldo Vieira;Carla Deguirmendjian Carvalho;Hugo Yoshida Yoshizaki
Journal nature machine intelligence
Year 2016
DOI
10.14295/transportes.v24i4.912
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.