Sources general subject: Difference between revisions

From Control Systems Technology Group
Jump to navigation Jump to search
No edit summary
No edit summary
 
(4 intermediate revisions by the same user not shown)
Line 1: Line 1:
[[Auto-Selection Of Package Delivery Location Based On Estimated Time Of Delivery]]<br>
{| class="wikitable" | border="2" style="border-collapse:collapse; text-align: center; width: 40%" 
[[Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products]]<br>
! style="background: #cacaca; width: 30%" | '''Criteria'''
[[Robotic Aerial Vehicle Delivery System and Method]]<br>
! style="background: #cacaca; width: 14%" | '''Weight'''
[[Drone delivery models for healthcare]]<br>
! style="background: #cacaca; width: 14%" | '''Grabber'''
[[Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem]]<br>
! style="background: #cacaca; width: 14%" | '''Box'''
[[Parcel delivery in an urban environment using unmanned aerial systems: a vision paper]]<br>
! style="background: #cacaca; width: 14%" | '''High Mounted'''
[[The Sky’s (Not) the Limit - Influence of Expertise and Privacy Disposition on the Use of Multicopters]]<br>
! style="background: #cacaca; width: 14%" | '''Enclosed'''
[[Post-Production Analysis Approach for drone delivery fleet]]<br>
|- 
[[A multi-objective green UAV routing problem]]<br>
! style="background: #cacaca;"|Easy to prevent theft || style="background: #cacaca;"|0.4
[[The Vehicle Routing Problem with Drones: Extended Models and Connections]]<br>
| 3 || 4 || 2 || 3
[[Logistics support for a delivery drone fleet]]<br>
|-  
[[A cost-optimization model in multi-agent system routing for drone delivery]]<br>
! style="background: #cacaca;"|Easy to use || style="background: #cacaca;"|0.2
[[The regulation of civilian drones impacts on behavioral privacy]]<br>
| 2 || 4 || 5 || 4
[[Understanding security threats in consumer drones through the lens of discovery quadcopter family]]<br>
|-
[[Drone-Aided Healthcare Services for Patients with Chronic diseases in Rural Areas]]<br>
! style="background: #cacaca;"|Cost || style="background: #cacaca;"|0.3
[[Can unmanned aerial systems (drones) be used for the routine transport of chemistry, hematology, and coagulation laboratory specimens?]]<br>
| 4 || 3 || 3 || 4
[[Autonomous Aerial Cargo/Utility system]]<br>
|-
[[The economic and operational value of using drones to transport vaccines]]<br>
! style="background: #cacaca;"|Privacy other residents || style="background: #cacaca;"|0.3
[[Drone transport of microbes in blood and sputum laboratory specimens]]<br>
| 2 || 3 || 3 || 2
[[Privacy and drones: Unmanned aerial vehicles]]<br>
|-style="background: #d1d1d1;"
[[Civilian drones, privacy, and the federal-state balance]]<br>
! colspan="2;" style="background: #cacaca;"| Total sum of weighted score
[[A cost-benefit analysis of Amazon Prime Air]]<br>
| 3.4 || 4.2 || 3.6 || 3.8
[[Optimizing a Drone Network to Deliver Automated External Defibrillators]]<br>
|}
<br>
Dit moet nog afgemaakt worden als eens iemand tijd heeft<br>
 
 
<font size = "3">Civilian drones, privacy, and the federal-state balance </font>
Bennett, W. C. (2014). Civilian drones, privacy, and the federal-state balance. Center for Technology Innovation at Brookings. https://www.brookings.edu/wp-content/uploads/2016/07/civilian_drones_privacy_bennett_NEW.pdf
 
===Summary===
Because remotely controlled flying robots are getting cheaper and more suitable for transportation purposes, we are going to see them more. Those robots are able to go where other vehicles can’t go and observe things humans can’t observe. In that way those robots can violate our privacy. There are a few problems for the government to make a law for this, because we don’t know how drones will be in a few years from now. The development of drones in cooperation with the government could lead to drones that won’t be able to violate too much of our privacy. A downside is that this new style of developing will take a while before it is entered.
 
<font size = "3">A cost-benefit analysis of Amazon Prime Air </font>
Welch, Adrienne (2015). "A cost-benefit analysis of Amazon Prime Air". University of Tennessee at Chattanooga. add link kobus
 
===Summary===
Amazon is looking to employ drones for package delivery. Amazon offers products at prices consistently lower than traditional retailers. Amazon has also an advantage over other online retailers in the speed at which the company can send a package out for delivery. The current speed in package handling is made possible by 89 fulfillment centers around the world equipped with Kiva robots. By handling the deliveries themselves, Amazon eliminates the middle man between them and their customers saving considerable amounts of money. Drones could reduce labor costs, increase efficiency and reduce errors. In the paper titled, “Analysis of Unmanned Aircraft Systems and Application in the Civil Field”, Kharchenko and Prusov consider the various uses for drones, breaking them down into three groups: safety control, scientific research, and commercial. Kharchenko and Prusov specify the following requirements needed in the structure of an Unmanned Aviation Complex (UAC) or drone station:
 
the unmanned aircraft itself.
control stations (management) of unmanned aircraft and antennas system.
software and systems of on-board monitoring of the unmanned aircraft.
communication means (earth/air and air/earth) for air traffic control and unmanned aircraft payload.
terminals of data processing.
landing system.
 
launch system and systems of the flight refreshment.
maintenance equipment and the support of unmanned aircraft and its systems.
systems of storage and transportation of unmanned aircraft complex.
As drones become more and more popular the airspace could get crowded and the allocation of frequency range for UV’s. Tatham compares the costs of operating a fixed-wing light aircraft, helicopters, and UAVs and finds that UAVs are less expensive to obtain and operate by looking at capital cost, operating speed, and mission cost. The downsides to using drones is that they could invade people’s privacy and that people could try to steal the packages in transit. It is important to note that Amazon will set up this system only in areas where the system would be efficient and profitable. Amazon will have to weigh the costs of setting up and operating the drone system based on population, population density, and the number of customers and potential frequency of use in the area. Amazon could hold an market advantage via patents on the drones/system or by keeping the logistics secret. for the first few years, Amazon will experience an advantage in being the first firm to ever offer such an innovative technology. the optimum location for a firm with several inputs and outputs is the median transport location, the location that splits the total monetary weight of the firm into two equal halves. (the principle of median location). costs may include:
 
The drones themselves
Buildings and land associated with the drone stations
Computers and monitoring software systems for drone flights
Computer technicians and drone monitors on site
Robotics Engineers for maintenance and upgrades to drones on site
Utility costs of running the building
Logistics management team to oversee operations
Potential insurance and legal fees associated with drones
Potential air and/or frequency rights for drones, etc.
 
<font size = "3">Optimizing a Drone Network to Deliver Automated External Defibrillators </font>
Justin J. Boutilier, BSc Steven C. Brooks, MD Alyf Janmohamed Adam Byers, MDEM Jason E. Buick, MSc Cathy Zhan, MSc Angela P. Schoellig, PhD Sheldon Cheskes, MD Laurie J. Morrison, MD Timothy C. Y. Chan. (2017). “Optimizing a Drone Network to Deliver Automated External Defibrillators”. add link
 
===Summary===
This paper focuses on a model for AED delivering drones. The goal of this model is to determine whether a drone network designed with the aid of a mathematical model combining both optimization and queuing can reduce the time to AED arrival. The aim of the drones is to arrive 1, 2 or 3 minutes in advance of 911 arrival, the model calculates how many drones and bases are necessary for multiple cities.

Latest revision as of 20:06, 7 March 2018

Criteria Weight Grabber Box High Mounted Enclosed
Easy to prevent theft 0.4 3 4 2 3
Easy to use 0.2 2 4 5 4
Cost 0.3 4 3 3 4
Privacy other residents 0.3 2 3 3 2
Total sum of weighted score 3.4 4.2 3.6 3.8