Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards

Celik, Metin; Kahraman, Cengiz; Çebı, Selçuk; Er, I. Deha

doi:10.1016/j.eswa.2007.09.055

Cited by 97 publications

(46 citation statements)

References 25 publications

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“…Celik et al 46 proposed a hybrid approach on ensuring the competitiveness requirements for container ports by utilizing fuzzy information axiom and fuzzy technique for order performance by similarity to ideal solution (TOPSIS). Celik et al 47 adopted the information axiom into the quality function deployment method in order to analyze shipping investment processes. Coelho and Mourão 48 used the information axiom to select an appropriate technology at a high decision level as required for the subsequent detailed design of a mechanical component.…”

Section: Axiomatic Design Methodology and Its Axiomsmentioning

confidence: 99%

Developing a Smart Clothing System for Blinds Based on Information Axiom

Bahadır¹,

Çebı²,

Kahraman³

et al. 2013

IJCIS

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In this paper, a novel approach is proposed to determine the electronic system components of a smart clothing system design developed for blinds. The integration of diverse components which are developed and produced by different technologies and materials is a major challenge in a smart clothing system technology. Therefore, an integrated methodology based on fuzzy analytic hierarchy process (AHP) and fuzzy information axiom is used for the solution of this problem.

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Section: Axiomatic Design Methodology and Its Axiomsmentioning

confidence: 99%

Developing a Smart Clothing System for Blinds Based on Information Axiom

Bahadır¹,

Çebı²,

Kahraman³

et al. 2013

IJCIS

Self Cite

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“…1, and thus, the information content is calculated as [45,44]: (1) where I i stands for the information content of the i th attribute. "TFN of system design" is the system design capability range by TFNs ratings; "TFN of design range" stands for the designer's evaluation Though fuzzy AD method has been widely used in various engineering field, such as: advanced manufacturing systems' comparison [44], transportation companies' evaluation [45], and shipyards' selection [47], nevertheless, the selection of fuzzy membership functions in all existing case studies are determined by designers subjectively [46].…”

Section: Basic Notion Of Fuzzy Admentioning

confidence: 99%

A weighted rough set based fuzzy axiomatic design approach for the selection of AM processes

Zheng

Wang

et al. 2016

Int J Adv Manuf Technol

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Additive manufacturing (AM) or 3D printing, as an enabling technology for mass customisation or personalization, has been developed rapidly in recent years. Va r io u s design tools, materials, machines and service bureaus can be found in the market. Clearly, the choices are abundant, but users can be easily confused as to which AM process they should use. This paper first reviews the existing multi-attribute decision-making methods for AM process selection and assesses their suitability with regards to two aspects, preference rating flexibility and performance evaluation objectivity. We propose that an approach that is capable of handling incomplete attribute information and objective assessment within inherent data has advantages over other approaches. Based on this proposition, this paper proposes a weighted preference graph method for personalized preference evaluation, and a rough set based fuzzy axiomatic design approach for performance evaluation and the selection of appropriate AM processes.An example based on the previous research work of AM machine selection is given to validate its robustness for the priori articulation of AM process selection decision support.

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“…Celik, Kahraman et al (2009) studied the shipyard selection criteria for docking facilities of shipyards by using multiple-criteria fuzzy axiomatic design (FAD). For this study, 11 shipyards situated in Turkey were chosen as examples and by determining the weights of the criteria, the most suitable shipyards for docking facilities were presented in terms of which ones meet these criteria the best.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of shipyard selection criteria for shipowners using a fuzzy technique

Kafalı

Özkök

2015

Journal of Marine Engineering & Technology

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There are various stages to the process of acquiring a vessel. First, a decision must be made on what vessel is needed. Next, an appropriate shipyard is selected; this decision is very significant, as it will determine the workmanship quality and delivery date of the vessel to be manufactured. From the point of view of a shipowner, receiving the vessel on time and manufactured to specification is crucial. From the point of view of the shipyard, it is vital to take as many orders as possible; therefore, one of the highest priorities of shipyards is to be the first choice for as many shipowners as possible in order to increase their requirement for steel fabrication and consequently their profits. In this study, the shipyard selection criteria for shipowners are presented and the degree of importance of each criterion is determined using a fuzzy analytic hierarchy process (AHP) technique. The aim of the study is to provide shipyards with information about the perspective of shipowners with regard to the shipyard selection process, thus allowing shipyards to strengthen their weaknesses and increase the number of shipowners which choose them to manufacture their ships.

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Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards

Cited by 97 publications

References 25 publications

Developing a Smart Clothing System for Blinds Based on Information Axiom

Developing a Smart Clothing System for Blinds Based on Information Axiom

A weighted rough set based fuzzy axiomatic design approach for the selection of AM processes

Evaluation of shipyard selection criteria for shipowners using a fuzzy technique

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