Workforce planning for O2O delivery systems with crowdsourced drivers
Authors:
- 9 January 2019
- journal article
- research article
- Published by Springer Nature in Annals of Operations Research
- Vol. 291 (1-2) , 219-245
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (91646125, 71872200)
- Beijing Natural Science Foundation (9172017)
- Singapore Ministry of Education Academic Research Fund Tier 1 (R-266-000-084-133)
This publication has 21 references indexed in Scilit:
- Crowdsourced Delivery—A Dynamic Pickup and Delivery Problem with Ad Hoc DriversTransportation Science, 2019
- Preliminary Investigation of a Crowdsourced Package Delivery System: A Case Study2018
- Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customersTransportation Research Part E: Logistics and Transportation Review, 2017
- The Role of Surge Pricing on a Service Platform with Self-Scheduling CapacityManufacturing & Service Operations Management, 2017
- Design and modeling of a crowdsource-enabled system for urban parcel relay and deliveryTransportation Research Part B: Methodological, 2017
- Supply chain decisions with reference quality effect under the O2O environmentAnnals of Operations Research, 2017
- The Vehicle Routing Problem with Occasional DriversEuropean Journal of Operational Research, 2016
- Data mining-based dispatching system for solving the local pickup and delivery problemAnnals of Operations Research, 2012
- A dynamic vehicle routing problem with multiple delivery routesAnnals of Operations Research, 2011
- Fleet Sizing and Empty Equipment Redistribution for Center-Terminal Transportation NetworksManagement Science, 1997