Publicação
Delays prediction using data mining techniques for supply chain risk management company
| dc.contributor.advisor | Jesus, Frederico Miguel Campos Cruz Ribeiro de | |
| dc.contributor.author | Manai, Nedra | |
| dc.date.accessioned | 2019-01-11T20:50:34Z | |
| dc.date.available | 2019-01-11T20:50:34Z | |
| dc.date.issued | 2019-01-08 | |
| dc.description | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence | pt_PT |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 202138615 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/57155 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Risk | pt_PT |
| dc.subject | Predictive Model | pt_PT |
| dc.subject | Forecasting | pt_PT |
| dc.subject | Supply Chain Risk Manageme | pt_PT |
| dc.subject | Project work | eng |
| dc.subject | Trabalho de projecto | pt_PT |
| dc.title | Delays prediction using data mining techniques for supply chain risk management company | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio (Business Intelligence) | pt_PT |