Browsing by Author "Öztürkoǧlu, Ömer"

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Citation - WoS: 1
Citation - Scopus: 1
Factors affecting recommended childhood vaccine demand
(IOS PRESS, 2022) Ikbal Ece Dizbay; Omer Ozturkoglu; Dizbay, İkbal Ece; Öztürkoǧlu, Ömer
Reaching a high vaccination coverage level is of vital essence when preventing epidemic diseases. For mandatory vaccines the demand can be forecasted using some demographics such as birth rates or populations between certain ages. However it has been difficult to forecast non-mandatory vaccine demands because of vaccine hesitation alongside other factors such as social norms literacy rate or healthcare infrastructure. Consequently the purpose of this study is to explore the predominant factors that affect the non-mandatory vaccine demand focusing on the recommended childhood vaccines which are usually excluded from national immunization programs. For this study fifty-nine factors were determined and categorized as system-oriented and human-oriented factors. After a focus group study conducted with ten experts seven system-oriented and eight human-oriented factors were determined. To reveal the cause and effect relationship between factors one of the multi-criteria decision-making methods called Fuzzy-DEMATEL was implemented. The results of the analysis showed that Immunization-related beliefs Media/social media contents/messaging and Social cultural religious norms have a strong influence on non-mandatory childhood vaccine demand. Furthermore whereas Availability and access to health care facilities and Political/ financial support to health systems are identified as cause group factors Quality of vaccine and service delivery management is considered an effect group factor. Lastly a guide was generated for decision-makers to help their forecasting process of non-mandatory vaccine demands to avoid vaccine waste or shortage.
Citation - WoS: 66
Citation - Scopus: 78
Optimal unit-load warehouse designs for single-command operations
(TAYLOR & FRANCIS INC, 2012) Omer Ozturkoglu; Kevin R. Gue; Russell D. Meller; Meller, Russell D.; Öztürkoǧlu, Ömer; Gue, Kevin R.
We present a continuous space model for travel in a unit-load warehouse that allows cross-aisles and picking aisles to take on any angle. The model produces optimal designs for one two and three-cross-aisle warehouses which are called chevron leaf and butterfly designs. We then use a more accurate discrete model to show which designs are best for a wide range of warehouse sizes. We show that the chevron design which is new to theory and to practice is the best design for many industrial applications.