Urban Last Mile Delivery Data Mining for Performance Improvement
Author:
Affiliation:
1. Resilient Value Chain, Singapore Institute of Manufacturing Technology, Singapore
2. Singapore Institute of Manufacturing Technology, Singapore
Funder
A*STAR
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3647782.3647796
Reference14 articles.
1. A Data Mining Practical Approach to Inventory Management and Logistics Optimization
2. Muchová, Miroslava, Ján Paralič, and Michael Nemčík. "Using predictive data mining models for data analysis in a logistics company." Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology-ISAT 2017: Part I. Springer International Publishing, 2018.
3. Analyzing Price Movement of Crude Oil through Historical Price Data Distribution by Using Apriori Data Mining Algorithm
4. Prediction of Oil Production with: Data Mining, Neuro-Fuzzy and Linear Regression
5. Gevaers Roel Eddy Van de Voorde and Thierry Vanelslander. "Characteristics and typology of last-mile logistics from an innovation perspective in an urban context." City distribution and urban freight transport: Multiple perspectives January (2011): 56-71.
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