운영 데이터를 활용한 제3자 물류 환경에서의 배송 트럭 무게 예측

• 영문명: Truck Weight Estimation using Operational Statistics at 3rd Party Logistics Environment
• 발행기관: 한국산업경영시스템학회
• 저자명: 이유진 최경민 김송은 박경수 정승환
• 간행물 정보: 『산업경영시스템학회지』제45권 제4호, 127~133쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2022.12.31

영문 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 effective- ness of the developed operational statistics variables.

목차

1. 서 론

2. 선행 연구

3. 문제 상황

4. 예측 모델

5. 결 론

키워드

Third Party Logistics Truck Weight Estimation Operational Statistics XGBoost Regressor Permutation Feature Importance