Integrated AHP &amp; TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection

Haktanır, Elif; Kahraman, Cengiz

doi:10.1016/j.eswa.2023.122382

Cited by 17 publications

(2 citation statements)

References 46 publications

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“…Beyond the healthcare context, AHP-TOPSIS is frequently used to select the appropriate technology in various industries. For instance, recent literature has employed AHP-TOPSIS in selecting robotic process for automation [30], ranking soft computing techniques for predicting solar radiation [31], selecting hydrogen storage technologies [32] and carriers [33], and choosing IoT devices [34]. These decision-making problems are similar to the focus of our research.…”

Section: B Applications Of Mcdm Approaches In Healthcare Technology S...mentioning

confidence: 91%

“…It is widely popular and continuously used in technology selection in various research contexts beyond healthcare. For instance, it has been used in selecting robotic process for automation [30], ranking soft computing techniques for predicting solar radiation [31], selecting hydrogen storage technologies [32] and carriers [33], and choosing IoT devices [34].…”

Section: B Practical Implicationsmentioning

confidence: 99%

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Development of a Hybrid AHP-TOPSIS Decision-Making Framework for Technology Selection in Hospital Medication Dispensing Processes

Boonsothonsatit,

Vongbunyong,

Chonsawat

et al. 2024

IEEE Access

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Hospitals play a crucial role in delivering high-quality patient care, and the healthcare industry is experiencing significant changes driven by the integration of advanced technology. This integration aims to enhance patient care, streamline operations, and minimize errors. Therefore, this study seeks to propose a comprehensive decision-making framework for selecting appropriate technologies, focusing on the medication dispensing process within hospital settings. Through an extensive literature review and expert input, seven critical criteria for technology adoption in hospitals have been identified. Additionally, the study considers the Pick-to-Light system, Carousel Storage System, and Robotic Dispensing System as alternative technologies for integrating medication dispensing processes, with a focus on enhancing labeling, picking, and packing activities. The evaluation involves participants from five tertiary care hospitals in Thailand. The Analytic Hierarchy Process (AHP) is used to assess the relative importance of criteria, followed by the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) for technology selection. The analysis results, including criteria weights and technology selection, are presented separately for each hospital case and overall. The top-three criteria identified as having high priority weights across hospitals are budget and funding support (BF) (0.329), staff technological proficiency levels (TP) (0.147), and leadership support (LS) (0.128). These findings can guide healthcare organizations in making informed decisions during technology implementation, particularly in improving medication dispensing processes. The study identifies the "Pick-to-Light" technology as a suitable solution across all hospital cases, as it can streamline dispensing processes, improve accuracy, and enhance overall operational efficiency. This research, along with the proposed decision-making framework, contributes valuable insights for healthcare institutions seeking to effectively select and integrate technologies, ultimately leading to improved outcomes in hospital medication services.

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Section: B Applications Of Mcdm Approaches In Healthcare Technology S...mentioning

confidence: 91%

Section: B Practical Implicationsmentioning

confidence: 99%

Development of a Hybrid AHP-TOPSIS Decision-Making Framework for Technology Selection in Hospital Medication Dispensing Processes

Boonsothonsatit,

Vongbunyong,

Chonsawat

et al. 2024

IEEE Access

View full text Add to dashboard Cite

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Multi-energy station design for future electric vehicles: A synergistic approach starting from scratch

Tahir,

Hu,

Khan

et al. 2024

Applied Energy

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A fermatean fuzzy SWARA-TOPSIS methodology based on SCOR model for autonomous vehicle parking lot selection

Ayyildiz,

Erdogan

2024

Applied Soft Computing

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Integrated AHP & TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection

Cited by 17 publications

References 46 publications

Development of a Hybrid AHP-TOPSIS Decision-Making Framework for Technology Selection in Hospital Medication Dispensing Processes

Development of a Hybrid AHP-TOPSIS Decision-Making Framework for Technology Selection in Hospital Medication Dispensing Processes

Multi-energy station design for future electric vehicles: A synergistic approach starting from scratch

A fermatean fuzzy SWARA-TOPSIS methodology based on SCOR model for autonomous vehicle parking lot selection

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