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Location selection of local coffee shops using fuzzy multicriteria decision making

Coffee shops have undergone a transformation and have become widely favored venues for social interactions. The establishment provides a warm and inviting ambiance that facilitates social connections and community development, enabling individuals to engage with friends, coworkers, and prospective b...

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Main Authors: Cahyani, Andharini Dwi, Basuki, Ari
Format: Conference Proceeding
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Basuki, Ari
description Coffee shops have undergone a transformation and have become widely favored venues for social interactions. The establishment provides a warm and inviting ambiance that facilitates social connections and community development, enabling individuals to engage with friends, coworkers, and prospective business associates. The sales success of a café is significantly impacted by its geographical placement. The present study aims to investigate the issue of site selection for potential coffee shops in metropolitan regions, specifically focusing on Sidoarjo, Indonesia. This study employed a selection of five parameters to determine the optimal location for establishing a new food and beverage enterprise. The variables under consideration include population density (C1), annual rental cost (C2), market saturation (C3), visibility (C4), and foot traffic (C5). This study involved the participation of a group consisting of four stakeholders of the company that responsible for making decisions. Their task was to evaluate the importance weight and ratings of various potential locations, employing the Triangular Fuzzy Number technique. The Fuzzy VIKOR approach is employed to rank all available choices. The findings of our study indicate that A3 possesses a high level of accessibility, making it the most advantageous choice compared to other alternative locations.
doi_str_mv 10.1063/5.0222593
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source American Institute of Physics:Jisc Collections:Transitional Journals Agreement 2021-23 (Reading list)
subjects Coffee
Coffeehouses
Community development
Fuzzy systems
Metropolitan areas
Multiple criterion
Population density
title Location selection of local coffee shops using fuzzy multicriteria decision making
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