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Related Concept Videos

Secondary Distribution01:25

Secondary Distribution

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Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Distribution Reliability and Automation01:25

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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Identifying weak linear features with the "coalescing shortest path image transform".

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Dynamic service area sizing in urban delivery.

Marlin W Ulmer1, Alan Erera2, Martin Savelsbergh2

  • 1Otto-von-Guericke Universität Magdeburg, 39106 Magdeburg, Germany.

OR Spectrum : Quantitative Approaches in Management
|August 16, 2022
PubMed
Summary

This study introduces dynamic service area adjustments for urban instant delivery to maximize orders served. Techniques for demand-responsive area sizing significantly increase served orders without missing delivery time promises.

Keywords:
Dynamic vehicle routingInstant deliveryMeal deliveryService area sizingUncertain demand

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Area of Science:

  • Operations Research
  • Logistics Management
  • Urban Planning

Background:

  • Instant delivery services face challenges balancing order volume with timely delivery promises.
  • Dynamic adjustment of the service area is a key strategy for managing demand in urban logistics.

Purpose of the Study:

  • To develop and evaluate techniques for dynamically adjusting the service area size in urban instant delivery.
  • To maximize the number of orders served while minimizing missed delivery time promises.

Main Methods:

  • Learning the relationship between expected demand and supportable service area size.
  • Employing value function approximation for optimizing initial service area plans.
  • Implementing a correction mechanism for real-time adjustments based on realized demand.

Main Results:

  • Computational experiments validate the proposed techniques.
  • Dynamic service area sizing significantly increases the number of orders served.
  • The methods effectively avoid an increase in missed delivery time promises.

Conclusions:

  • Dynamic service area management is crucial for efficient urban instant delivery operations.
  • The presented techniques offer a robust solution for balancing service capacity and demand.
  • This approach enhances operational efficiency and customer satisfaction in time-sensitive delivery environments.