MACHINE LEARNING IMPLEMENTATION IN LAST-MILE INBOUND PARCEL VOLUME PREDICTION FOR WORKFORCE SCHEDULING IMPROVEMENT IN A LOGISTICS COMPANY
The last-mile delivery sector in logistics faces challenges like fluctuating demand and unpredictable delivery volumes, while requiring efficient workforce scheduling to optimize costs, service quality, and customer satisfaction. This study investigates the use of time series forecasting techniques...
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Main Author: | Richard |
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/86718 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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