Maintenance Outsourcing Strategy

2020 ◽  
Author(s):  
AbdulRahman Al Messabi ◽  
Girish Pande ◽  
Fatima Al Ameri
2013 ◽  
Vol 52 (11) ◽  
pp. 3259-3272 ◽  
Author(s):  
Hakan Tarakci ◽  
Subramaniam Ponnaiyan ◽  
Shailesh Kulkarni

2021 ◽  
Vol 23 (3) ◽  
pp. 443-453
Author(s):  
Maysa Alshraideh ◽  
Shereen Ababneh ◽  
Elif Elcin Gunay ◽  
Omar Al-Araidah

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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