dc.contributor |
Blum, Christian |
dc.contributor.author |
Copado Méndez, Pedro Jesús |
dc.date |
2011-01-14 |
dc.identifier.uri |
http://hdl.handle.net/2099.1/11157 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat |
dc.subject |
Heuristic |
dc.subject |
Computer algorithms |
dc.subject |
Mathematical optimization |
dc.subject |
Supply chain management (SCM) |
dc.subject |
Heurística |
dc.subject |
Algorismes computacionals |
dc.subject |
Optimització matemàtica |
dc.title |
Development of a hybrid metaheuristic for the efficient solution of strategic supply chain management problems: application to the energy sector |
dc.type |
info:eu-repo/semantics/masterThesis |
dc.description.abstract |
Supply chain management (SCM) addresses the strategic, tactical, and operational
decision making that optimizes the supply chain performance. The
strategic level defines the supply chain configuration: the selection of suppliers,
transportation routes, manufacturing facilities, production levels, technologies.
The tactical level plans and schedules the supply chain to meet
actual demand. The operational level executes plans. Tactical and operational
level decision-making functions are distributed across the supply
chain.
To increase or optimize performance, supply-chain functions must be
perfectly coordinated. But the cycles of the enterprise and the market make
this difficult: raw material does not arrive on time, production facilities
fail, workers are ill, customers change or cancel orders, therefore, causing
deviations from the plan. In some cases, these situations may be dealt
with locally. In other cases, the problem cannot be ”locally contained” and
modifications across many functions are required. Consequently, the supply
chain management system must coordinate the revision of plans or schedules.
The ability to better understand an algorithm is important to focus on the
following variables: tactical and operational levels of the supply chain so that
the timely dissemination of information, accurate coordination of decisions,
and management of actions among people and systems is achieved ultimately determines the efficient, coordinated achievement of enterprise goals |