Endüstri Mühendisliği Bölümü / Department of Industrial Engineering

Permanent URI for this collectionhttps://hdl.handle.net/11413/6819

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Browsing Endüstri Mühendisliği Bölümü / Department of Industrial Engineering by Publisher "Ios Press, Nieuwe Hemweg 6B, 1013 Bg Amsterdam, Netherlands"

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    Fuzzy Modelling and Efficiency in Health Care Systems
    (Ios Press, Nieuwe Hemweg 6B, 1013 Bg Amsterdam, Netherlands, 2012) Özok, Ahmet Fahri; 207507
    American Medical Institute reports that each year, because of the medical error, minimum fifty thousand people are dead. For a safety and quality medical system, it is important that information systems are used in health care systems. Health information applications help us to reduce the human error and to support patient care systems. Recently, it is reported that medical information systems applications have also some negative effect on all medical integral elements. The cost of health care information systems is about 4.6% of the total cost. In this paper, it is tried a risk determination model according to principles of fuzzy logic. The improvement of health care systems has become a very popular topic in Turkey recent years. Using necessary information system; it became possible to care patients in a safer way. However, using the necessary HIS tools to manage of administrative and clinical processes at hospitals became more important than before. For example; clinical work flows and communication among pharmacists, nurses and physicians are still not enough investigated. We use fuzzy modeling as a research strategy and developed sum fuzzy membership functions to minimize human error. In application in Turkey the results are significantly related with each other. Besides, the sign differences in health care information systems strongly effects of risk magnitude. The obtained results are discussed and some comments are added.
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    Multi Objective New Product Development In Bakery Production Under Fuzzy Demand Parameters
    (Ios Press, Nieuwe Hemweg 6B, 1013 Bg Amsterdam, Netherlands, 2010) Özdemir, Rifat Gürcan; Çiçek, Burçin; Özenç, Derya; TR141173
    This paper deals with the problem of multi objective new product development and its solution with an intelligent approach. The proposed approach uses fuzzy parameters for economic analysis and combines a multi-criteria decision making method to goal programming. In economic analysis, fuzzy life cycle costs and fuzzy life cycle pricing are considered with respect to demand changes during life cycle of new product alternatives. Fuzzy equivalent worth of each new product alternative is determined using fuzzy life cycle monetary input, and results are input to the multi-criteria analysis. The selected multi-criteria analysis tool is TOPSIS in the paper and some additional judgmental criteria are also considered to rank new product alternatives. The preference weights used to rank alternatives are then fed to a goal programming model which makes an ultimate selection of new product(s) to be produced in the manufacturing system under capacity, sales potential, and workforce balance constraints. The goal programming model has an objective of minimizing the weighted sum of positive deviation from target total cost and negative deviation from target total preference weights. The proposed approach is then implemented using real data of a continuous production system for the need of introducing new products into market.