Warehouse Location Selection Decision Systems for Medical Sector

Yaman, Tutku Tuncalı; AKKARTAL, Gonca Reyhan

doi:10.1109/worlds450073.2020.9210406

Cited by 8 publications

(5 citation statements)

References 23 publications

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“…DEMATEL, one of the most cited MCDM method, has been an active research topic in recent years. To describe experts' judgments intuitively, the fuzzy versions of DEMATEL are required such as hesitant fuzzy, 31 Pythagorean fuzzy, 32 neutrosophic sets, 33 and spherical fuzzy, 34 and so on. Figure 1 briefly shows the most recent 10 years' development of fuzzy DEMATEL by taking "fuzzy DEMATEL" as search term in Web of Sciences.…”

Section: A Brief Review Of Fuzzy Dematel Methodsmentioning

confidence: 99%

“…. Construct the possibility degree matrix P c of pairwise comparison on X by Equation (32). The group DIM R is obtained by the consensus score algorithm in [8] (The specific process not to repeat here).…”

Section: Algorithm For the Mghflts-dematel Methodsmentioning

confidence: 99%

“…. Construct the group possibility degree matrix P c by Equation (32) shown in Table 8. According to the consensus score algorithm [8], the group DIM R is obtained in Table 9 and the calculation process is presented in Appendix B.…”

Section: Application Examplementioning

confidence: 99%

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An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

You

Hou

2021

Int J of Intelligent Sys

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The decision‐making trial and evaluation laboratory (DEMATEL) is widely recognized as an effective way to identify the key elements of a complex system and establish a causal relationship between the criteria. To extend the effective use of the DEMATEL method in multicriteria group decision making problems, we propose some improvements for traditional DEMATEL. The direct‐influence matrix is a pairwise comparison matrix of the influence level between criteria, which is the basis of the DEMATEL method. Instead of utilizing crisp numbers to assess the level of direct‐influence, each expert provides evaluation with hesitant fuzzy linguistic term sets (HFLTSs) based on an individual linguistic term set, that is, multigranular hesitant fuzzy linguistic term sets. To obtain a reasonable and satisfying collective DIM, we propose the expert weights model based on the similarity and entropy of HFLTSs and introduce the consensus reach process that is an iterative and dynamic process of modifying experts’ opinions more similar or closer to obtain the satisfying group solution. Considering the increasing complexity of the decision environment and the intricate relationship between the criteria, the Otsu method is applied to determine the threshold value of the total‐influence matrix that is the sum of the direct influence and indirect influence and thus eliminate some unnecessary influence. Finally, the feasibility of the improved method is illustrated by an example of information warfare and analysis. Comparative results are presented to show the effectiveness and advantages of the proposed method.

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Section: A Brief Review Of Fuzzy Dematel Methodsmentioning

confidence: 99%

Section: Algorithm For the Mghflts-dematel Methodsmentioning

confidence: 99%

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An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

You

Hou

2021

Int J of Intelligent Sys

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“…Two studies (Yaman et al, 2020;Boonmee et al, 2020) focus on warehouse location selection in 2020. Yaman et al, targets to evaluate factors affecting the warehouse location.…”

Section: Warehouse Location Selectionmentioning

confidence: 99%

Enhancing Disaster Management through Effective Warehouse Location Selection using Linguistic Decision Making: An Integrated Approach

Büyüközkan,

Uztürk

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Effective warehouse location selection is a critical component of disaster management, as it can significantly impact the efficiency and effectiveness of disaster response efforts. This paper proposes an integrated approach based on linguistic decision making (LDM) for assessing and prioritizing key criteria for warehouse location selection in disaster management. Specifically, the 2-Tuple linguistic (2-TL) model is used to represent decision-maker's subjective opinions, and then an integrated methodology combining 2-TL-DEMATEL and 2-TL-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is employed for the analysis of the criteria and the selection of the optimal warehouse location. This approach allows decision-makers to effectively deal with subjective linguistic information and to handle uncertainty and imprecision in the decision-making process. The proposed methodology combines DEMATEL for causal relation analysis and TOPSIS for multi-criteria decision-making to identify and select the optimal warehouse location. Moreover, the paper provides a case study conducted in the Türkiye area to demonstrate the practical application of the proposed methodology. The results of the study provide an importance ranking of the key location selection criteria and reveal the causal relationships between them. The paper concludes that the proposed methodology can provide a structured and systematic approach for warehouse location selection in disaster management, and it can help decision-makers to improve the efficiency and effectiveness of disaster response efforts.

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“…In the pharmaceutical industry, drugs are handled differently from other physical goods supply chains because of the details in their storage, transportation and regulation ( Kumar et al, 2018 ). It is crucial for pharmaceutical companies to decide on the storage area in order to regulate the costs during the pandemic period and to ensure that drugs and vaccines reach the citizens as soon as possible ( Yaman and Akkartal, 2020 ). While the pharmaceutical market is already being heavily run in many countries due to the unique nature of demand and supply, it has become even more complex with the added uncertainty of the pandemic ( Ghatari et al, 2013 ).…”

Section: Introduction and Related Studiesmentioning

confidence: 99%

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

Erdoğan

Ayyıldız

2022

Engineering Applications of Artificial Intelligence

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Warehouse Location Selection Decision Systems for Medical Sector

Cited by 8 publications

References 23 publications

An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

An improved DEMATEL method for multigranular hesitant fuzzy linguistic environment

Enhancing Disaster Management through Effective Warehouse Location Selection using Linguistic Decision Making: An Integrated Approach

Investigation of the pharmaceutical warehouse locations under COVID-19—A case study for Duzce, Turkey

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