Continuum approximation models for joint delivery systems using trucks and drones. Issue 4 (20th April 2020)
- Record Type:
- Journal Article
- Title:
- Continuum approximation models for joint delivery systems using trucks and drones. Issue 4 (20th April 2020)
- Main Title:
- Continuum approximation models for joint delivery systems using trucks and drones
- Authors:
- Li, Yushan
Zhang, Guangzhi
Pang, Zhibo
Li, Lefei - Abstract:
- ABSTRACT: This research focuses on exploring the economics related to the joint delivery system using trucks and drones. Transportation distances and costs are approximated as simple functions using continuum approximation (CA) methods, which can keep key issues and tradeoffs in focus. The main contribution is to develop cost models using the derived methods and gain a greater understanding of delivery activities by focusing on the tradeoffs between major components, which are valuable for decision-makers: choose economical delivery mode based on customer density, partition service region into optimal sub-regions, and obtain an optimal delivery ratio between trucks and drones.
- Is Part Of:
- Enterprise information systems. Volume 14:Issue 4(2020)
- Journal:
- Enterprise information systems
- Issue:
- Volume 14:Issue 4(2020)
- Issue Display:
- Volume 14, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 14
- Issue:
- 4
- Issue Sort Value:
- 2020-0014-0004-0000
- Page Start:
- 406
- Page End:
- 435
- Publication Date:
- 2020-04-20
- Subjects:
- Joint delivery system -- drones -- trucks -- continuum approximation -- package delivery
Information storage and retrieval systems -- Periodicals
Management information systems -- Periodicals
Electronic commerce -- Periodicals
658.4038011 - Journal URLs:
- http://www.tandfonline.com/toc/teis20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17517575.2018.1536928 ↗
- Languages:
- English
- ISSNs:
- 1751-7575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3790.568160
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13600.xml