Minimizing logistics risk through real‐time vehicle routing and mobile technologies

Author(s):  
G.M. Giaglis ◽  
I. Minis ◽  
A. Tatarakis ◽  
V. Zeimpekis
Author(s):  
Zaigham Mahmood

Cloud Computing is an attractive paradigm for organisations that have a requirement to process large scalable distributed applications. It allows for self-provisioning of cloud resources to develop and host applications as well as acquire storage and networking resources. Connected Government (c-government) is an area where cloud technologies can be effectively used to achieve the benefits that the cloud paradigm promises. Social Media, Web 2.0 and mobile technologies can all help to further enhance the connected government capabilities. Using such technologies, governments and citizens can engage in real time in the electronic participation of a government's functioning. In this chapter, we introduce the cloud paradigm and then discussing the requirements of c-government, we outline how cloud technologies can help to achieve an open and transparent c-government. The aim is to provide the basics of relationship between c-government and cloud computing to set the scene for other contributions in this volume.


2018 ◽  
Vol 7 (9) ◽  
pp. 343
Author(s):  
Adish Khezri ◽  
Rohan Bennett ◽  
Jaap Zevenbergen

Climate change challenges mountain communities to prepare themselves via Community-Based Adaptation (CBA) plans that reduce vulnerability. This paper outlines the evaluation of a developed web-based information system to support CBA, referred to as a Mountain Community Adaptive System (MCAS). The web-based user interface visualizes collated data from data providers, integrating it with near real-time climate and weather datasets. The interface provides more up-to-date information than was previously available on the environment, particularly on land and climate. MCAS, a cloud-based Land Information System (LIS), was developed using an Agile-inspired approach offering system creation based on bare minimum system requirements and iterative development. The system was tested against Fit-For-Purpose Land Administration (FFP LA) criteria to assess the effectiveness in a case from Nepal. The results illustrate that an MCAS-style system can provide useful information such as land use status, adaptation options, near real-time rainfall and temperature details, amongst others, to enable services that can enhance CBA activities. The information can facilitate improved CBA planning and implementation at the mountain community level. Despite the mentioned benefits of MCAS, ensuring system access was identified as a key limitation: smartphones and mobile technologies still remain prohibitively expensive for members of mountain communities, and underlying information communication technology (ICT) infrastructures remain under-developed in the assessed mountain communities. The results of the evaluation further suggest that the land-related aspects of climate change should be added to CBA initiatives. Similarly, existing LIS could have functionalities extended to include climate-related variables that impact on land use, tenure, and development.


2017 ◽  
Vol 19 (2) ◽  
pp. 117-129 ◽  
Author(s):  
Muhammet Demirbilek ◽  
Tarik Talan

The purpose of this study is to investigate whether off-task multitasking activities with mobile technologies, specifically social networking sites and short messaging services, used during real-time lectures have an effect on grade performance in higher education students. Two experimental groups and one control group were used in this research. While participants in experimental groups 1 and 2 were allowed to navigate Facebook and to exchange short messaging service messages via mobile phones during real time in class lecturing, the control group participants were allowed to take notes using only pen and paper in the same lecturing conditions during three consecutive experimental sessions. The results showed that when students were given the opportunity of non-lecture-related multitasking using mobile phones writing/sending short messaging services and looking at Facebook profiles/reading news feed/looking at shared multimedia/reading wall messages during the lecture, their grade performance was hindered compared to traditional pen and paper note-taking. Engaging in social media use while trying to follow instruction may reduce learners’ capacity for cognitive processing causing poor academic performance.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
ZhiQiang Chen ◽  
Jianfei Chen

Optical imaging is a commonly used technique in civil engineering for aiding the archival of damage scenes and more recently for image analysis-based damage quantification. However, the limitations are evident when applying optical imaging in the field. The most significant one is the lacking of computing and processing capability in the real time. The advancement of mobile imaging and computing technologies provides a promising opportunity to change this norm. This paper first provides a timely introduction of the state-of-the-art mobile imaging and computing technologies for the purpose of engineering application development. Further we propose a mobile imaging and computing (MIC) framework for conducting intelligent condition assessment for constructed objects, which features in situ imaging and real-time damage analysis. This framework synthesizes advanced mobile technologies with three innovative features: (i) context-enabled image collection, (ii) interactive image preprocessing, and (iii) real-time image analysis and analytics. Through performance evaluation and field experiments, this paper demonstrates the feasibility and efficiency of the proposed framework.


1998 ◽  
Vol 1617 (1) ◽  
pp. 171-178 ◽  
Author(s):  
How-Ming Shieh ◽  
Ming-Der May

The problem of the on-line version of the vehicle routing problem with time windows (VRPTW) differs from the traditional off-line problem in the dynamical arrival of requests and the execution of the partial tour during the run time. The study develops an on-line optimization-based heuristic that combined the concepts of the “on-line algorithm,” “anytime algorithm,” and local search heuristics to solve the on-line version of VRPTW. The solution heuristic is evaluated with modified Solomon’s problems. By comparing with these benchmark problems, the different results between on-line and off-line algorithms are indicated.


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