FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2462773527> ?p ?o ?g. }

• W2462773527 endingPage "14" @default.
• W2462773527 startingPage "1" @default.
• W2462773527 abstract "The authors present in this work a proposal that allows establishing the relationships between the facilities location problem and the client allocation within a dense demand environment in territorial design. This proposal can be seen as a basic methodology to give support to the decision making. The use of this application lets one know the production facilities location, warehouses or distribution centers in a geographical space division. On the other hand, solving the client's dense demand for goods or services, means finding the location of facilities in a populated geographic territory, where the population has a demand for services in a constant basis. Finding the location is obtaining the decimal geographical coordinates in longitude, latitude where the facility is located, such that the product or service transport costs the least. The implications and practical benefits of the results from this work allow an organization to be able to design an efficient logistics plan in benefit of its supply chain. The problem the authors present is a territorial design and optimization one due to the fact that the required territorial partition demands the creation of compact zones where the minimum distance between the geographical objects is implicitly optimized. This problem belongs to the NP-hard class, where the use of a metaheuristic to attain approximated solutions becomes a necessity, Variable Neighborhood Search was chosen because it achieves good solutions for this kind of problems. Once the territory has been partitioned into k zones where the centroid of each zone is the distribution center, as a first step the authors proceed to apply the dense demand with continuous functions and this is the main original contribution of this paper: Finding the location of facilities inside a territory where the population has a dense demand for services. The location obtained means having available the decimal geographic coordinates in longitude and latitude from the location point in such a way that the products or services transfer has a minimum cost. Finally the Weber function is minimized, which weights are a function that represents the population's demand in every territory, multiplied by the Euclidean distance between the potential location points and demand points." @default.
• W2462773527 created "2016-07-22" @default.
• W2462773527 creator A5028795653 @default.
• W2462773527 creator A5035500193 @default.
• W2462773527 creator A5067007116 @default.
• W2462773527 creator A5072651532 @default.
• W2462773527 date "2016-01-01" @default.
• W2462773527 modified "2023-10-18" @default.
• W2462773527 title "A Location Allocation Model for a Territorial Design Problem with Dense Demand" @default.
• W2462773527 cites W1998090093 @default.
• W2462773527 cites W1998298180 @default.
• W2462773527 cites W2010334716 @default.
• W2462773527 cites W2011242159 @default.
• W2462773527 cites W2023469046 @default.
• W2462773527 cites W2051956682 @default.
• W2462773527 cites W2077960662 @default.
• W2462773527 cites W2086349945 @default.
• W2462773527 cites W2089133149 @default.
• W2462773527 cites W2094604251 @default.
• W2462773527 cites W2097415189 @default.
• W2462773527 cites W2118217692 @default.
• W2462773527 cites W2318946431 @default.
• W2462773527 cites W2571029112 @default.
• W2462773527 doi "https://doi.org/10.4018/ijal.2016010101" @default.
• W2462773527 hasPublicationYear "2016" @default.
• W2462773527 type Work @default.
• W2462773527 sameAs 2462773527 @default.
• W2462773527 citedByCount "1" @default.
• W2462773527 countsByYear W24627735272019 @default.
• W2462773527 crossrefType "journal-article" @default.
• W2462773527 hasAuthorship W2462773527A5028795653 @default.
• W2462773527 hasAuthorship W2462773527A5035500193 @default.
• W2462773527 hasAuthorship W2462773527A5067007116 @default.
• W2462773527 hasAuthorship W2462773527A5072651532 @default.
• W2462773527 hasConcept C108005400 @default.
• W2462773527 hasConcept C110121322 @default.
• W2462773527 hasConcept C114614502 @default.
• W2462773527 hasConcept C123046963 @default.
• W2462773527 hasConcept C127413603 @default.
• W2462773527 hasConcept C13280743 @default.
• W2462773527 hasConcept C134306372 @default.
• W2462773527 hasConcept C144024400 @default.
• W2462773527 hasConcept C144133560 @default.
• W2462773527 hasConcept C149923435 @default.
• W2462773527 hasConcept C162853370 @default.
• W2462773527 hasConcept C166957645 @default.
• W2462773527 hasConcept C18762648 @default.
• W2462773527 hasConcept C205649164 @default.
• W2462773527 hasConcept C2524010 @default.
• W2462773527 hasConcept C2776505523 @default.
• W2462773527 hasConcept C2776608338 @default.
• W2462773527 hasConcept C2778212267 @default.
• W2462773527 hasConcept C2780378061 @default.
• W2462773527 hasConcept C2908647359 @default.
• W2462773527 hasConcept C33923547 @default.
• W2462773527 hasConcept C41008148 @default.
• W2462773527 hasConcept C42475967 @default.
• W2462773527 hasConcept C42812 @default.
• W2462773527 hasConcept C78519656 @default.
• W2462773527 hasConcept C90673727 @default.
• W2462773527 hasConceptScore W2462773527C108005400 @default.
• W2462773527 hasConceptScore W2462773527C110121322 @default.
• W2462773527 hasConceptScore W2462773527C114614502 @default.
• W2462773527 hasConceptScore W2462773527C123046963 @default.
• W2462773527 hasConceptScore W2462773527C127413603 @default.
• W2462773527 hasConceptScore W2462773527C13280743 @default.
• W2462773527 hasConceptScore W2462773527C134306372 @default.
• W2462773527 hasConceptScore W2462773527C144024400 @default.
• W2462773527 hasConceptScore W2462773527C144133560 @default.
• W2462773527 hasConceptScore W2462773527C149923435 @default.
• W2462773527 hasConceptScore W2462773527C162853370 @default.
• W2462773527 hasConceptScore W2462773527C166957645 @default.
• W2462773527 hasConceptScore W2462773527C18762648 @default.
• W2462773527 hasConceptScore W2462773527C205649164 @default.
• W2462773527 hasConceptScore W2462773527C2524010 @default.
• W2462773527 hasConceptScore W2462773527C2776505523 @default.
• W2462773527 hasConceptScore W2462773527C2776608338 @default.
• W2462773527 hasConceptScore W2462773527C2778212267 @default.
• W2462773527 hasConceptScore W2462773527C2780378061 @default.
• W2462773527 hasConceptScore W2462773527C2908647359 @default.
• W2462773527 hasConceptScore W2462773527C33923547 @default.
• W2462773527 hasConceptScore W2462773527C41008148 @default.
• W2462773527 hasConceptScore W2462773527C42475967 @default.
• W2462773527 hasConceptScore W2462773527C42812 @default.
• W2462773527 hasConceptScore W2462773527C78519656 @default.
• W2462773527 hasConceptScore W2462773527C90673727 @default.
• W2462773527 hasIssue "1" @default.
• W2462773527 hasLocation W24627735271 @default.
• W2462773527 hasOpenAccess W2462773527 @default.
• W2462773527 hasPrimaryLocation W24627735271 @default.
• W2462773527 hasRelatedWork W126229300 @default.
• W2462773527 hasRelatedWork W2001726979 @default.
• W2462773527 hasRelatedWork W2003563074 @default.
• W2462773527 hasRelatedWork W2042570611 @default.
• W2462773527 hasRelatedWork W2359594752 @default.
• W2462773527 hasRelatedWork W2397285734 @default.
• W2462773527 hasRelatedWork W2951126849 @default.
• W2462773527 hasRelatedWork W4295751002 @default.

• next