FBE- Endüstri Mühendisliği Lisansüstü Programı - Doktora

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http://hdl.handle.net/11527/32

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Yazar "Aktaş Haktanır, Elif," ile FBE- Endüstri Mühendisliği Lisansüstü Programı - Doktora'a göz atma
  • Öge
    Customer oriented new product design and analysis of design risks using fuzzy sets extensions
    (Lisansüstü Eğitim Enstitüsü, 2021) Aktaş Haktanır, Elif, ; Kahraman, Cengiz ; 723131 ; Endüstri Mühendisliği
    With each passing day, customers' expectations of the product that is planned to purchase are increasing. Today, manufacturers and service providers must meet customer demands at the maximum level in order to be successful and maintain their continuity. Their competitive advantage depends on the aesthetic success of the product they offer for sale as well as the technical features. Customers generally expect the product to be affordable, durable, easy to use, and appealing to the eye. However, it is difficult, even impossible sometimes, for the producers to meet all these demands at the same time due to economical and timewise limitations. In order for companies to determine the best product they can produce using their competencies and the maximum customer demands they can respond to; they must first prioritize them. One of the most used methods for this purpose is Quality Function Deployment (QFD). House of Quality (HOQ) is a special and mostly used part of QFD which is named for its shape that reminds of a house with a roof on top. A classical HOQ consists of some parts in matrix form such as customer demands (CDs), customer evaluations (CEs) of those demands, technical descriptors (TDs), relationship matrix between CDs and TDs, and correlation matrix among TDs. In some recent studies, new matrices are added eligibly to the common parts such as technical difficulty and direction of improvement of TDs, and competitive analysis for both CDs and TDs. The HOQ matrices are generally constructed by an effort of a team of experts and multiple customers. Since humans tend to express their thoughts and ideas linguistically rather than exact and precise numbers, this brings vagueness and impreciseness to the design and development process. To overcome this obstacle and deal with complex problems more realistically, the fuzzy sets theory has been applied successfully for decades. On the other hand, one of the very important concers with new product devolepment must be about its risks. Again, for a company to survive it has to take the proper precautions before it starts producing the products and to do so it needs to know and prioritize the risks first. In this thesis study, to understand and answer the customer needs and study the product developments risks, two methods Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA) are studied under fuzzy environment. Fuzzy sets theory introduced to the literature by Zadeh in 1965 as a generalization of sets logic that assignes membership to degrees to includes ambiguity and vegueness by and many extensions have been proposed for decades such as: intuitionistic fuzzy sets, neutrosophic sets, Pythagorean fuzzy sets, and spherical fuzzy sets.