English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

With the rapid development of Online to Offline (O2O) business, millions of transactions each day along with the varying processing time of merchants and the complexity of traffic conditions pose significant challenges to effective and efficient delivery of orders. This paper studies the complex adaptive dynamics of O2O platforms by combining the behaviors of customers, merchants, dispatcher, and couriers in the context of a multi-agent model. Serving as a testbed, the simulation model enables the evaluation of alternative order delivery strategies. Preliminary experimental results show that TSP-based delivery strategy is more efficient than the nearer merchant assignment strategy. As an important property, the larger load capacity of couriers is beneficial to improve the completion rate of orders rather than the completion time. Finally, the experiment using the real road network and the real order data demonstrates the applicability of the proposed multi-agent model of O2O platform in the real scenario.

Simulation of online food ordering delivery strategies using multi-agent system models