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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Bibliographic Details
Main Author: Richard
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