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학술지
특수기 소포우편 물동량 예측시스템 개발
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- 발행일
- 202103
- 출처
- 대한설비관리학회지, v.26 no.1, pp.29-39
- ISSN
- 1598-2475
- 출판사
- 대한설비관리학회
- 협약과제
- 21HR3300, 우편물류 인프라 기술개발, 정훈
- 초록
- 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 제안 키워드
- Delivery service, Ensemble models, Event Prediction, Extreme event, Input features, Internal and external, Logistics service, Operation plan, Operational optimization, Parameter Adjustment, Parcel logistics