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.

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

• Yu-jin Lee(부산대학교 경영학과) | 이유진
• Kyung Min Choi(부산대학교 경영학과) | 최경민
• Song-eun Kim(부산대학교 경영학과) | 김송은
• Kyungsu Park(부산대학교 경영학과) | 박경수
• Seung Hwan Jung(연세대학교 경영학과) | 정승환 Corresponding Author