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Author (up) Moreno, S.; Pereira, J.; Yushimito, W. doi  openurl
  Title A hybrid K-means and integer programming method for commercial territory design: a case study in meat distribution Type Journal Article
  Year 2020 Publication Annals Of Operations Research Abbreviated Journal Ann. Oper. Res.  
  Volume 286 Issue 1-2 Pages 87-117  
  Keywords Territorial design; Clustering; K-means; Integer programming; Case study  
  Abstract The objective of territorial design for a distribution company is the definition of geographic areas that group customers. These geographic areas, usually called districts or territories, should comply with operational rules while maximizing potential sales and minimizing incurred costs. Consequently, territorial design can be seen as a clustering problem in which clients are geographically grouped according to certain criteria which usually vary according to specific objectives and requirements (e.g. costs, delivery times, workload, number of clients, etc.). In this work, we provide a novel hybrid approach for territorial design by means of combining a K-means-based approach for clustering construction with an optimization framework. The K-means approach incorporates the novelty of using tour length approximation techniques to satisfy the conditions of a pork and poultry distributor based in the region of Valparaiso in Chile. The resulting method proves to be robust in the experiments performed, and the Valparaiso case study shows significant savings when compared to the original solution used by the company.  
  Address [Moreno, Sebastian; Pereira, Jordi; Yushimito, Wilfredo] Univ Adolfo Ibanez, Fac Engn & Sci, Av Padre Hurtado 750, Vina Del Mar, Chile, Email: sebastian.moreno@uai.cl;  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0254-5330 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000511564300005 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 1105  
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