Truck Weight Estimation using Operational Statistics at 3rd Party Logistics Environment
(주)코리아스칼라
- 최초 등록일
- 2023.04.03
- 최종 저작일
- 2022.12
- 7페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국산업경영시스템학회
ㆍ수록지정보 : 산업경영시스템학회지 / 45권 / 4호
ㆍ저자명 : Yu-jin Lee, Kyung Min Choi, Song-eun Kim, Kyungsu Park, Seung Hwan Jung
목차
1. 서 론
2. 선행 연구
3. 문제 상황
4. 예측 모델
4.1 데이터 분석
4.2 일반적 예측 변수
4.3 운영 데이터에 기반한 예측 변수
4.4 예측 변수의 중요도 순위
4.5 예측 모델
5. 결 론
References
영어 초록
Many manufacturers applying third party logistics (3PLs) have some challenges to increase their logistics efficiency. This study introduces an effort to estimate the weight of the delivery trucks provided by 3PL providers, which allows the manufacturer to package and load products in trailers in advance to reduce delivery time. The accuracy of the weigh estimation is more important due to the total weight regulation. This study uses not only the data from the company but also many general prediction variables such as weather, oil prices and population of destinations. In addition, operational statistics variables are developed to indicate the availabilities of the trucks in a specific weight category for each 3PL provider. The prediction model using XGBoost regressor and permutation feature importance method provides highly acceptable performance with MAPE of 2.785% and shows the effectiveness of the developed operational statistics variables.
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