Publicação
An ANP model to support decision-making in a Portuguese pharmaceutical supply chain
| dc.contributor.advisor | Machado, Virgínia | |
| dc.contributor.advisor | Barroso, Ana | |
| dc.contributor.author | Abreu, Paulo Emil Nikolas Mourão de Melo e | |
| dc.date.accessioned | 2013-11-15T11:44:43Z | |
| dc.date.available | 2013-11-15T11:44:43Z | |
| dc.date.issued | 2013 | |
| dc.description | Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial | por |
| dc.description.abstract | In order to cope up with a volatile and scarce environment, companies have had to adopt new ways of thinking. One of them is embracing Supply Chain Management (SCM) and considering it as a crucial asset if willing to compete in the marketplace. In the context of SCM, it is important to understand how Lean and Agile SCM paradigms are adopted as means of achieving an efficient Supply Chain (SC). Besides the mentioned paradigms, many Key Performance Indicators (KPIs) and management practices come along with SCM, and it is important that SC managers identify the ones that bring the most competitive advantages. This dissertation intends to design a model based on the Analytic Network Process (ANP) in order to assist SC managers from different entities of a pharmaceutical SC in exploring efficient decisions to be made, with respect to KPIs and management practices, as means of achieving a highly competitive SC. | por |
| dc.identifier.uri | http://hdl.handle.net/10362/10724 | |
| dc.language.iso | eng | por |
| dc.publisher | Faculdade de Ciências e Tecnologia | por |
| dc.subject | Supply chain management | por |
| dc.subject | Lean | por |
| dc.subject | Agile | por |
| dc.subject | Analytic network process | por |
| dc.subject | Key performance indicators | por |
| dc.subject | Responsiveness | por |
| dc.title | An ANP model to support decision-making in a Portuguese pharmaceutical supply chain | por |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | por |
| rcaap.type | masterThesis | por |