20 research outputs found
Automatic Routing System for Intelligent Warehouses
Automation of logistic processes is essential to improve productivity and
reduce costs. In this context, intelligent warehouses are becoming a key to
logistic systems thanks to their ability of optimizing transportation tasks
and, consequently, reducing costs. This paper initially presents briefly
routing systems applied on intelligent warehouses. Then, we present the
approach used to develop our router system. This router system is able to solve
traffic jams and collisions, generate conflict-free and optimized paths before
sending the final paths to the robotic forklifts. It also verifies the progress
of all tasks. When a problem occurs, the router system can change the task
priorities, routes, etc. in order to avoid new conflicts. In the routing
simulations, each vehicle executes its tasks starting from a predefined initial
pose, moving to the desired position. Our algorithm is based on Dijkstra's
shortest path and the time window approaches and it was implemented in C
language. Computer simulation tests were used to validate the algorithm
efficiency under different working conditions. Several simulations were carried
out using the Player/Stage Simulator to test the algorithms. Thanks to the
simulations, we could solve many faults and refine the algorithms before
embedding them in real robots.Comment: 2010 IEEE International Conference on Robotics and Automation,
International workshop on Robotics and Intelligent Transportation System,
Full Day Workshop, May 7th 2010, Anchorage, Alaska. Organizers,Christian
Laugier (INRIA, France), Ming Lin (University of North Carolina, USA),
Philippe Martinet IFMA and LASMEA, France),Urbano Nunes (ISR, Portugal
Urban consolidation center or peer-to-peer platform? The solution to urban last-mile delivery
2 nd Brazilian Consensus on Chagas Disease, 2015
Abstract Chagas disease is a neglected chronic condition with a high burden of morbidity and mortality. It has considerable psychological, social, and economic impacts. The disease represents a significant public health issue in Brazil, with different regional patterns. This document presents the evidence that resulted in the Brazilian Consensus on Chagas Disease. The objective was to review and standardize strategies for diagnosis, treatment, prevention, and control of Chagas disease in the country, based on the available scientific evidence. The consensus is based on the articulation and strategic contribution of renowned Brazilian experts with knowledge and experience on various aspects of the disease. It is the result of a close collaboration between the Brazilian Society of Tropical Medicine and the Ministry of Health. It is hoped that this document will strengthen the development of integrated actions against Chagas disease in the country, focusing on epidemiology, management, comprehensive care (including families and communities), communication, information, education, and research
Estudo e monitoramento da perda de solo em condições controladas, utilizando terras raras como traçador.
Urban Consolidation Center or Peer‐to‐Peer Platform? The Solution to Urban Last‐Mile Delivery
A Strategic Analysis of the Use of Third Party Logistics Providers (3PLs) in Fast Moving Consumer Goods (FMCG) Industry: A Systematic Review of Literature
Automated guided vehicle mission reliability modelling using a combined fault tree and Petri net approach
This is an open access article published by Springer and distributed under the terms of the Creative Commons Attribution Licence, https://creativecommons.org/licenses/by/4.0/Automated guided vehicles (AGVs) are be-
ing extensively used for intelligent transportation and distribution of materials in warehouses and autoproduction lines due to their attributes of high efficiency and low costs. Such vehicles travel along a predefined route to deliver desired tasks without the supervision of an operator. Much effort in this area has focused primarily on route optimisation and traffic management of
these AGVs. However, the health management of these vehicles and their optimal mission configuration have received little attention. To assure their added value, taking a typical AGV transport system as an example, the capability to evaluate reliability issues in AGVs are investigated in this paper. Following a Failure Modes Effects and Criticality Analysis (FMECA), the reliability of the AGV system is analysed via Fault Tree
Analysis (FTA) and the vehicles mission reliability is evaluated using the Petri net (PN) method. By performing the analysis the acceptability of failure of the mission can be analysed, and hence the service capability and potential profit of the AGV system can be
reviewed and the mission altered where performance is unacceptable. The PN method could easily be extended to have the capability to deal with eet AGV mission
reliability assessment
Implementação de um sistema Collaborative Planning, Forecasting, and Replenishment em uma grande rede de fast food por meio de um prestador de serviços logísticos Implementation of a Collaborative Planning, Forecasting, and Replenishment system in a large fast food company through a logistics provider
A gestão colaborativa é, atualmente, um elemento-chave no contexto da gestão da cadeia de suprimentos. Neste artigo, o tema é abordado mediante a análise de um caso real, em que uma grande rede mundial de fast-food e seu prestador de serviço logístico (PSL) trabalharam conjuntamente no Brasil em um projeto-piloto para a implementação de um collaborative planning, forecasting, and replenishment (CPFR). O trabalho faz uso de uma metodologia de pesquisa-ação e apresenta as principais variáveis que influenciaram o projeto, abordando os processos necessários para a implementação e os pontos que favorecem o CPFR. Com base no caso estudado, o trabalho apresenta um conjunto de propostas sobre o papel dos agentes da cadeia em projetos dessa natureza. A gestão da cadeia de suprimentos por intermédio da coordenação direta de um PSL também permite demonstrar as possibilidades e dificuldades desse sistema, contribuindo com a visão colaborativa na cadeia de suprimentos a partir da relação entre seus agentes.<br>Nowadays, Collaborative Planning has been considered a key element in the Supply Chain Management context. In this article, this topic is addressed by a real case where a large worldwide fast-food network and its logistics provider worked together in Brazil in a pilot project in order to implement a Collaborative Planning, Forecasting, and Replenishment (CPFR) system. Based on an action research approach, this paper presents the main variables that influenced the real project embracing the necessary processes, and it points out those that leveraged the CPFR implementation. Based on the case studied, a set of proposals about the role of the supply chain agents in similar projects is presented. Moreover, the case of conducting the supply chain management by a direct coordination of a logistics provider also allows to highlight the possibilities and difficulties of the CPFR system and to contribute towards a supply chain agents collaborative work