Titulo Estágio
Intelligent demand forecasting/stock prediction
Áreas de especialidade
Sistemas Inteligentes
Local do Estágio
CISUC
Enquadramento
Current business intelligent techniques are aiding small and big companies in improving different aspects of their business. From Client facing applications to stock prediction a plethora of applications is already in place and spreading every day.
Nowadays, most businesses try to optimize their supply chain, sometimes with inspirations in the production Just In Time (JIT), "a production strategy that strives to improve a business’ return on investment by reducing in-process inventory and associated carrying costs."
Today’s approaches to demand forecasting are becoming more complex and machine learning methods that incorporate not only previous information on demand but also online dynamic and external data are explored.
In this internship it is proposed to research and implement demand forecasting mechanisms that can be applied in real business cases.
Objetivo
In this internship the student should study, propose, implement, and test methods for demand forecasting mechanisms that can be applied in real business cases.
To achieve this goal, the following objectives will be pursued:
- Study the state of the art
- Study the available frameworks for model development
- Define the study case
- Define, implement, and fine tune the prediction architecture
- Propose and deploy test setup
Plano de Trabalhos - Semestre 1
- Literature review
- Identification and study of prediction mechanisms
- Identification and study of available frameworks
- Analyse and define the study case
- Define the architecture of the system
- Start implementing the proposed approach
- Write intermediate report
Plano de Trabalhos - Semestre 2
- Implement the proposed solution and fine tune models
- Test and evaluate performance
- Write final report
Condições
This work should take place at LARN - CISUC.
Orientador
Bernardete Martins Ribeiro e Catarina Helena Branco Simões da Silva
bribeiro@dei.uc.pt 📩