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Publicação
Delays prediction using data mining techniques for supply chain risk management company
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| 1.32 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Globalization makes competition in supply chain management more intense. Pressure on
improving the efficiency, guarantee that goods arrive on time and reduce the cost of shipment
became higher. Shipment passes through different continents and cultures, dispersed around
the world and encounter different conditions and risks. These risks are unexpected events that
might disrupt the flow of materials or the planned operations. It can be due to late delivery,
inaccuracy in forecasting, natural disasters like hurricane and earthquake or sociocultural
events like strike. An effective use of supply chain risk management methods which includes
risk identification, risk assessment, risk mitigation, and risk control is important for the
organization to survive. For that reason, I was part of a team in XXX organization who has a
goal to develop a predictive model to predict shipment delays for company’s customers.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Risk Predictive Model Forecasting Supply Chain Risk Manageme Project work Trabalho de projecto