Yeginoğlu, Berkin

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Ortak teslim tarihli ve ağırlıklı toplam erkenlik, gecikme, birim erkenlik ve sabit atama maliyetli paralel makine çizelgeleme
(2025) Yeginoğlu, Berkin; Toy, Ayhan Özgür; Bulut, Önder
This thesis addresses the parallel machine scheduling problem with a common due date, aiming to minimize total weighted earliness, tardiness, unit earliness and fixed assignment costs. The objective function introduces a novel cost structure by extending traditional earliness and tardiness penalties with two additional components: (i) unit earliness costs, and (ii) fixed machine assignment costs. These extensions are motivated by practical considerations in production systems, such as inventory holding costs, quality preservation, and work-in-process (WIP) stocking costs. A mixed-integer linear programming (MILP) formulation is proposed to optimally solve small-sized instances and serve as a benchmark for evaluating heuristic methods. Due to the NP-hard nature of the problem, exact methods become computationally infeasible for larger instances. To address this, a problem-specific Genetic Algorithm (GA) is developed, incorporating a tailored solution representation, one-point crossover and cusromized mutation operators, and the revised V-shaped scheduling property to guide sequencing decisions. A comprehensive experimental study is implemented to assess the GA's performance across various problem sizes and parameter settings. GA parameters are tuned through preliminary testing to ensure a problem adaptive convergence behavior. Extensive computational experiments are conducted using both benchmark problems from the literature and newly generated datasets. Results indicate that the proposed GA consistently achieves near-optimal solutions in significantly less time than the MILP model, especially in larger instances. The algorithm demonstrates strong performance in terms of solution quality and computational efficiency making it a promising approach for solving complex scheduling problems in practical manufacturing environments.
Integrating Fuzzy AHP and TOPSIS for Optimal Air Fryer Selection: A Consumer-Centric Approach
(SPRINGER INTERNATIONAL PUBLISHING AG, 2024) Mert Paldrak; Fatma Nese Ozen; Berkin Yeginoglu; Cansu Bora; Armagan Yagiz Terim; Özen, Fatma Neşe; Yeginoğlu, Berkin; Paldrak, Mert; Terim, Armağan Yağız; Bora, Cansu; C Kahraman; SC Onar; S Cebi; B Oztaysi; AC Tolga; IU Sari
This study presents a novel methodology combining Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to aid consumers in selecting the most suitable air fryer. The decision-making process in choosing kitchen appliances like air fryers is often complex involving multiple criteria that can be challenging to assess and prioritize. Our approach utilizes Fuzzy AHP to determine the weights of various criteria based on consumer preferences ensuring a more accurate reflection of their importance. These criteria encompass factors such as price capacity energy efficiency user-friendly features and brand reputation which are critical in influencing consumer decisions. The integration of Fuzzy AHP with TOPSIS addresses the subjective and uncertain nature of consumer choices providing a structured and quantifiable method to evaluate and rank air fryers. This methodology not only captures the qualitative aspects of consumer preferences but also offers a comparative analysis of the products in the market. The result is a comprehensive decision-making tool that guides consumers through a balanced evaluation of the options leading to an informed and satisfactory purchase. By combining these two advanced decision-making techniques the study aims to significantly contribute to consumer behavior research and decision support systems offering a pragmatic solution for navigating complex market offerings and identifying an air fryer that aligns with specific needs and preferences.

Yeginoğlu, Berkin

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Sustainable Development Goals

NO POVERTY

ZERO HUNGER

GOOD HEALTH AND WELL-BEING

QUALITY EDUCATION

GENDER EQUALITY

CLEAN WATER AND SANITATION

AFFORDABLE AND CLEAN ENERGY

DECENT WORK AND ECONOMIC GROWTH

INDUSTRY, INNOVATION AND INFRASTRUCTURE

REDUCED INEQUALITIES

SUSTAINABLE CITIES AND COMMUNITIES

RESPONSIBLE CONSUMPTION AND PRODUCTION

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LIFE BELOW WATER

LIFE ON LAND

PEACE, JUSTICE AND STRONG INSTITUTIONS

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