A Comprehensive Evaluation Framework for Warehouse Performance: Indicator System and Cloud Model-Based Method

Effective performance management of warehouses is crucial for ensuring its standardized daily operations and improving its operational efficiency. However, establishing a comprehensive and fair warehouse performance evaluation model remains a significant challenge for enterprises. In this study, we propose a comprehensive evaluation indicator system that covers the aspects of operation, service, finance, and safety of warehouses. Using this system, an evaluation method based on the cloud model is developed for warehouse performance. To overcome the limitations of subjective and objective evaluation on the weights of the indicators, we adopt a combination weighting method to determine the weights for the indicators. The results demonstrate that the proposed model can effectively quantify and evaluate warehouse performance and provide detailed indicator-based guidance for improving warehouse management. This study contributes to the development of a more robust and comprehensive approach to warehouse performance management, which is of great significance for enterprises to improve their operational efficiency and competitiveness.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.056
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Evaluation Framework for Warehouse Performance: Indicator System and Cloud Model-Based Method

Shuqi Xue, Nirajan Shiwakoti, Yuhan Liu
Advanced Manufacturing and Logistics Optimization
article

A Comprehensive Evaluation Framework for Warehouse Performance: Indicator System and Cloud Model-Based Method

Shuqi Xue, Nirajan Shiwakoti, Yuhan Liu
article en

Abstract

Effective performance management of warehouses is crucial for ensuring its standardized daily operations and improving its operational efficiency. However, establishing a comprehensive and fair warehouse performance evaluation model remains a significant challenge for enterprises. In this study, we propose a comprehensive evaluation indicator system that covers the aspects of operation, service, finance, and safety of warehouses. Using this system, an evaluation method based on the cloud model is developed for warehouse performance. To overcome the limitations of subjective and objective evaluation on the weights of the indicators, we adopt a combination weighting method to determine the weights for the indicators. The results demonstrate that the proposed model can effectively quantify and evaluate warehouse performance and provide detailed indicator-based guidance for improving warehouse management. This study contributes to the development of a more robust and comprehensive approach to warehouse performance management, which is of great significance for enterprises to improve their operational efficiency and competitiveness.

Xi’an University of Posts and Telecommunications (CN)
Openalex Percentile: Top 67%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comprehensive Evaluation Framework for Warehouse Performance: Indicator System and Cloud Model-Based Method — Shuqi Xue, Nirajan Shiwakoti, et al. · (2024) | TGRS Research Map | TGRS