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Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: A Case Study in a Hospital
1Industrial Engineering, Suleyman Demirel University, Isparta 32260, Turkey.
Journal of Healthcare Engineering
|November 6, 2019
Summary
Selecting the best hospital suppliers is crucial for efficiency. This study introduces hybrid multicriteria decision-making (MCDM) models, combining Analytic Hierarchy Process (AHP) with other methods, to systematically evaluate and rank suppliers, ensuring consistent results for healthcare procurement.
Area of Science:
- Operations Research
- Supply Chain Management
- Healthcare Management
Background:
- Supplier evaluation and selection are critical for supply chain sustainability and profitability.
- Multicriteria decision-making (MCDM) methods are essential for systematic supplier selection.
- Existing literature shows insufficient studies on supplier selection within the healthcare sector.
Purpose of the Study:
- To address the gap in healthcare sector supplier selection research.
- To develop and present hybrid MCDM models for selecting optimal hospital suppliers.
- To demonstrate the efficiency and consistency of proposed hybrid models.
Main Methods:
- Utilized the Analytic Hierarchy Process (AHP) for weighting selection criteria.
- Employed Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Translating Reality English (ELECTRE), Grey Relational Analysis (GRA), and Simple Additive Weighting (SAW) for supplier ranking.
- Developed and compared hybrid models: AHP-TOPSIS, AHP-ELECTRE, AHP-GRA, and AHP-SAW.
Main Results:
- The hybrid MCDM models consistently ranked suppliers.
- All presented hybrid methods (AHP-TOPSIS, AHP-ELECTRE, AHP-GRA, AHP-SAW) yielded the same supplier rankings.
- The study confirmed the efficiency and consistency of the proposed hybrid approaches.
Conclusions:
- The developed hybrid MCDM models offer a systematic approach for hospital supplier selection.
- These models provide a reliable guideline for healthcare organizations to mitigate risks and improve effectiveness through optimal supplier choices.
- The consistency across different hybrid models validates their robustness for practical application in healthcare procurement.
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