A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents
| Autor: | Shereen Ababneh, Omar Al-Araidah, Elif Elçin Günay, Maysa Alshraideh |
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| Rok vydání: | 2021 |
| Předmět: |
Operations research
business.industry Computer science Fuzzy topsis media_common.quotation_subject 0211 other engineering and technologies 02 engineering and technology Industrial and Manufacturing Engineering Outsourcing 021105 building & construction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Safety Risk Reliability and Quality business media_common |
| Zdroj: | Eksploatacja i Niezawodność – Maintenance and Reliability. 23:443-453 |
| ISSN: | 2956-3860 1507-2711 |
| Popis: | The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost. |
| Databáze: | OpenAIRE |
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