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<p>In order to store and oversee inventory, raw materials, or finished goods in different Konya regions, warehouse building management is a challenging task for the authorities that calls for creative and efficient distribution operations. Choosing the ideal site for warehouse facility is typically a difficult procedure, particularly when taking into account a number of parameters.Due to the costs of purchasing the property and associated improvements, the location selection problem is a long-term investment decision; as such, it should be carefully considered using a reliable method to avoid the negative consequences that follow bad decisions. To handle the inherent complexity and numerous ambiguities in real-world circumstances, the problems underlying warehouse management require the application of appropriate multi-criteria decision-making techniques. The goal of the present study is to develop an integrated spherical fuzzy rough number based -Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method. Through the spherical fuzzy rough ideal and anti-ideal solutions, the spherical fuzzy rough-MARCOS technique yields the reference points and allows for a more accurate assessment of alternatives via utility degree. The study’s emphasis on appropriately evaluating the criterion weights utilizing the spherical fuzzy rough -<Emphasis FontCategory="SansSerif">Stepwise Weight Assessment Ratio Analysis (SWARA)</Emphasis> algorithm to ascertain the viability of the decisions and reduce the decision-makers’ personal impact. To address ambiguity and imprecision in expert assessment, the spherical fuzzy rough numbers are employed throughout the examination process. To demonstrate how the recommended decision-making methodology may be applied to select the ideal location for warehouses, a case study of Konya is resolved. Our proposed method is compared with two current multi-criteria decision-making techniques, namely the spherical fuzzy rough-TOPSIS method and spherical fuzzy rough-WASPAS, in order to confirm the consistency of results. Sensitivity analysis is applied to verify if the recommended method’s computations are appropriate.</p>

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An outranking approach for selecting the best warehouse location in Konya using spherical fuzzy rough numbers

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • Muhammad Akram,
  • Mohamed M. Ali. Al-Shamiri,
  • Safeena Azam,
  • Cengiz Kahraman

摘要

In order to store and oversee inventory, raw materials, or finished goods in different Konya regions, warehouse building management is a challenging task for the authorities that calls for creative and efficient distribution operations. Choosing the ideal site for warehouse facility is typically a difficult procedure, particularly when taking into account a number of parameters.Due to the costs of purchasing the property and associated improvements, the location selection problem is a long-term investment decision; as such, it should be carefully considered using a reliable method to avoid the negative consequences that follow bad decisions. To handle the inherent complexity and numerous ambiguities in real-world circumstances, the problems underlying warehouse management require the application of appropriate multi-criteria decision-making techniques. The goal of the present study is to develop an integrated spherical fuzzy rough number based -Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method. Through the spherical fuzzy rough ideal and anti-ideal solutions, the spherical fuzzy rough-MARCOS technique yields the reference points and allows for a more accurate assessment of alternatives via utility degree. The study’s emphasis on appropriately evaluating the criterion weights utilizing the spherical fuzzy rough -Stepwise Weight Assessment Ratio Analysis (SWARA) algorithm to ascertain the viability of the decisions and reduce the decision-makers’ personal impact. To address ambiguity and imprecision in expert assessment, the spherical fuzzy rough numbers are employed throughout the examination process. To demonstrate how the recommended decision-making methodology may be applied to select the ideal location for warehouses, a case study of Konya is resolved. Our proposed method is compared with two current multi-criteria decision-making techniques, namely the spherical fuzzy rough-TOPSIS method and spherical fuzzy rough-WASPAS, in order to confirm the consistency of results. Sensitivity analysis is applied to verify if the recommended method’s computations are appropriate.