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RESEARCH PAPER
A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents
 
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Industrial Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan
 
2
Industrial Engineering Department, Sakarya University, Sakarya, Turkey
 
 
Publication date: 2021-09-30
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(3):443-453
 
HIGHLIGHTS
  • The study presents a Fuzzy-TOPSIS model for solving the maintenance outsourcing problem.
  • The study integrates fuzzy opinions of experts on the importance of selection criteria.
  • The study allows multiple decision-makers to integrate their fuzzy evaluations.
  • Disagreements among experts may result in a major change to the final decision.
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ABSTRACT
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.
 
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A New Approach to Production Process Capability Assessment for Non-Normal Data
Anna Borucka, Edward Kozłowski, Katarzyna Antosz, Rafał Parczewski
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eISSN:2956-3860
ISSN:1507-2711
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