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Metin Celik

Researcher at Istanbul Technical University

Publications -  103
Citations -  2275

Metin Celik is an academic researcher from Istanbul Technical University. The author has contributed to research in topics: Human reliability & Human error. The author has an hindex of 23, co-authored 77 publications receiving 1805 citations.

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Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry

TL;DR: The main aim of this paper is to structure a practical decision support mechanism on ensuring multiple criteria analysis of shipping registry selection by utilizing Fuzzy AHP methodology, based on Chang's extent analysis, to model theShipping registry selection.
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An extension to Fuzzy Fault Tree Analysis (FFTA) application in petrochemical process industry

TL;DR: FTA methodology is extended to petrochemical process industry in which fire, explosion and toxic gas releases are recognized as potential hazards and theoretical and practical values are provided to challenge with operational data shortage in risk assessment.
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Application of failure modes and effects analysis to main engine crankcase explosion failure on-board ship

TL;DR: In this paper, the advantages of the failure modes and effects analysis (FMEA) to adapt innovative marine technologies integrated with the operational aspects in order to prevent crankcase explosion failure onboard ships.
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Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards

TL;DR: This paper investigates a systematic evaluation model on docking facilities of shipyards to provide a decision aid for technical ship managers and to perform this responsibility in an efficient manner.
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Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network

TL;DR: A hybrid approach on ensuring the competitiveness requirements for major Turkish container ports by utilizing fuzzy axiomatic design (FAD) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methodologies to manage strategic decision-making with incomplete information is proposed.