An Order Control Policy in Crowdsourced Parcel Pickup and Delivery Service - Advances in Production Management Systems - Smart Manufacturing for Industry 4.0 Access content directly
Conference Papers Year : 2018

An Order Control Policy in Crowdsourced Parcel Pickup and Delivery Service

Yuncheol Kang
  • Function : Author
  • PersonId : 1050367

Abstract

Crowdsourced parcel delivery service has progressed dramatically by actively incorporating innovative technologies and ideas. Yet, maximizing profitability of this new type of delivery service becomes another challenge for service providers as market grows. In this paper we study a service order control policy to maximize profitability from a service provider perspective. Specifically, we suggest an order admission control approach that determines acceptance or rejection of an incoming order according to its profitability characteristics. For this, we model the problem as an average reward Semi-Markov Decision Process and utilize reinforcement learning to obtain an optimal order control policy that maximizes overall profitability of a service provider. Through numerical illustrations, we show that our suggested approach outperforms traditional methods, especially when the order arrival rate is high. Thus, smart order management is an important component of parcel pickup and delivery services.
Fichier principal
Vignette du fichier
472851_1_En_21_Chapter.pdf (348.33 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02177881 , version 1 (09-07-2019)

Licence

Attribution

Identifiers

Cite

Yuncheol Kang. An Order Control Policy in Crowdsourced Parcel Pickup and Delivery Service. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2018, Seoul, South Korea. pp.164-171, ⟨10.1007/978-3-319-99707-0_21⟩. ⟨hal-02177881⟩
61 View
104 Download

Altmetric

Share

Gmail Facebook X LinkedIn More