Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/57155
Título: Delays prediction using data mining techniques for supply chain risk management company
Autor: Manai, Nedra
Orientador: Jesus, Frederico Miguel Campos Cruz Ribeiro de
Palavras-chave: Risk
Predictive Model
Forecasting
Supply Chain Risk Manageme
Data de Defesa: 8-Jan-2019
Resumo: 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 report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
URI: http://hdl.handle.net/10362/57155
Designação: Mestrado em Gestão de Informação
Aparece nas colecções:NIMS - Dissertações de Mestrado em Gestão da Informação

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