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Ali Kokangül

Researcher at Çukurova University

Publications -  27
Citations -  726

Ali Kokangül is an academic researcher from Çukurova University. The author has contributed to research in topics: Neonatal intensive care unit & Intensive care. The author has an hindex of 10, co-authored 26 publications receiving 606 citations.

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Integrated analytical hierarch process and mathematical programming to supplier selection problem with quantity discount

TL;DR: In this article, an integration of analytical hierarchy process and non-linear integer and multi-objective programming under some constraints such as quantity discounts, capacity, and budget is applied to determine the best suppliers and to place the optimal order quantities among them.
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A new approximation for risk assessment using the AHP and Fine Kinney methodologies

TL;DR: In this article, a risk assessment study has been conducted in a large manufacturing company in which the hazards were determined based on experience, and the past 10 years' statistical records were categorized and each category has been prioritized using the Analytical Hierarchy Process (AHP) method.
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Classical and fuzzy FMEA risk analysis in a sterilization unit

TL;DR: A 5?5 matrix and both classical and fuzzy approaches of FMEA were developed for a sterilization unit to assess and identify the hazards discussed in prior studies and new hazards discovered during this study.
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A combination of deterministic and stochastic approaches to optimize bed capacity in a hospital unit

TL;DR: In this study a new stochastic approximation is developed and applied to a unit of a teaching hospital and based on target levels of the control parameters, a profit and loss analysis is performed.
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Optimization of passive optical network planning

TL;DR: This work considers a passive optical network (PON) planning problem based on a residential area in Adana (Turkey) and uses genetic algorithm and mathematical modeling techniques to optimize the position of the primary and secondary nodes, their split levels and assigning customers to secondary nodes.