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A NEW INTEGRATED GREY MCDM MODEL: CASE OF WAREHOUSE LOCATION SELECTION
16 references·2 citing·51 second hop
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References

  • 2019Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)1,435 cited
  • 1998Strategic facility location: A review1,385 cited
  • 2014The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)1,150 cited
  • 2018A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)867 cited
  • 2009Integrating sustainability into supplier selection with grey system and rough set methodologies841 cited
  • 2005Grey Information: Theory and Practical Applications711 cited
  • 1963A Heuristic Program for Locating Warehouses650 cited
  • 2003Fuzzy group decision-making for facility location selection575 cited
  • 2009A selection of material using a novel type decision-making method: Preference selection index method452 cited
  • 2014Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach433 cited
  • 2001A fuzzy approach to select the location of the distribution center433 cited
  • 1966A Branch-Bound Algorithm for Plant Location423 cited
  • 2020Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model423 cited

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2008
SELECTION OF THE EFFECTIVE DWELLING HOUSE WALLS BY APPLYING ATTRIBUTES VALUES DETERMINED AT INTERVALS
390 cited
  • 2002A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network356 cited
  • 1999Combining the analytic hierarchy process and goal programming for global facility location-allocation problem348 cited
  • Cited by

    • 2022Assessment of European cities from a smartness perspective: An integrated grey MCDM approach45 cited
    • 2024Strategic Warehouse Location Selection in Business Logistics: A Novel Approach Using IMF SWARA–MARCOS—A Case Study of a Serbian Logistics Service Provider44 cited