BROWSE
Detail
Journal Article
특수기 소포우편 물동량 예측시스템 개발
Cited - time in 
Share 
Share
- Issue Date
- 2021-03
- Citation
- 대한설비관리학회지, v.26, no.1, pp.29-39
- ISSN
- 1598-2475
- Publisher
- 대한설비관리학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- In the postal logistics service, rapid change in mail volume and requirements for shortening delivery time make operational optimization a fundamental concern. The mail traffic forecasting is essential for optimizing the resource operation of major postal infrastructures such as post offices, sorting centers, exchange centers, and delivery stations. In particular, in extreme event periods where the volume of traffic increases by about 1.4 times compared to normal, it is important to establish a resource operation plan at the logistics infrastructures for ensuring delivery service quality to the public. This paper addresses an extreme event prediction problem for Korea Post's parcel logistics service. The main purpose of this paper is to describe the development of extreme event prediction system and to introduce an application of the prediction system to postal parcel service site. The extreme event prediction system for Korea Post's parcel logistics service develops a hybrid prediction model based on internal and external factor-based features and ensemble models, and enables flexible prediction in consideration of traffic patterns by applying input features and model selection and parameter adjustment functions.
- KSP Keywords
- Delivery service, Ensemble Model, Event Prediction, Extreme event, Input features, Internal and external, Logistics service, Operation plan, Operational optimization, Parameter Adjustment, Parcel logistics