Ali Osman Kuşakçı

ORCID: 0000-0003-1411-0369
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About
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Research Areas
  • Multi-Criteria Decision Making
  • Sustainable Supply Chain Management
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Aviation Industry Analysis and Trends
  • Evolutionary Algorithms and Applications
  • Recycling and Waste Management Techniques
  • Municipal Solid Waste Management
  • Outsourcing and Supply Chain Management
  • Supply Chain Resilience and Risk Management
  • Financial Markets and Investment Strategies
  • Quality and Supply Management
  • Energy Load and Power Forecasting
  • Assembly Line Balancing Optimization
  • Environmental Impact and Sustainability
  • COVID-19 Pandemic Impacts
  • Financial Reporting and Valuation Research
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Mathematical Programming
  • Vehicle Routing Optimization Methods
  • Grey System Theory Applications
  • ERP Systems Implementation and Impact
  • COVID-19 epidemiological studies
  • Auditing, Earnings Management, Governance
  • Forest Biomass Utilization and Management

Ibn Haldun University
2018-2025

Istanbul Commerce University
2015-2017

International University of Sarajevo
2009-2014

Centre d'Études Scientifiques et Techniques d'Aquitaine
2012-2013

University of Sarajevo
2013

The epidemic disease emerged in Wuhan/China December 2019, which primarily causes acute respiratory syndrome and spread worldwide a very short time. Although the countries took numerous precautions, of virus could not be controlled. Furthermore, due to inability maintain physical distance excess shared surfaces, public transport services also increase risk spreading. This study analyzes changes perceptions behavior passengers who use transportation via survey. survey is developed assess...

10.1016/j.dajour.2022.100029 article EN cc-by-nc-nd Decision Analytics Journal 2022-02-09

The accuracy of forecasting is an essential issue for decision makers in terms energy planning. During the recent years, several techniques have been used electricity consumption order to accurately predict future demand. Although there are techniques, selection most appropriate one paramount importance. In this study, three different grey models built and modeling predicting yearly net Turkey. Additionally, these compared find best model by using performance criteria. approach,...

10.1080/15567249.2015.1089337 article EN Energy Sources Part B Economics Planning and Policy 2017-03-01

In this paper, a hybrid life cycle sustainability assessment (LCSA) model integrating multi region input–output analysis with novel multi-criteria decision-making techniques is proposed to assess three different fuel alternatives: compressed natural gas (CNG), electric buses (EBs), and diesel (DBs). A global LCSA first quantified the environmental, economic, social impacts of alternative buses. The results were investigated in terms multiple combinations manufacturing end-of-life scenarios...

10.1016/j.trd.2023.103656 article EN cc-by Transportation Research Part D Transport and Environment 2023-02-20

Purpose This study aims to provide a practical and novel solution for the complex multi-criteria decision-making (MCDM) problem of airline route selection, which is characterized by conflicting criteria, alternative routes, judgments. Design/methodology/approach proposes hybrid MCDM approach using Interval-valued Pythagorean Fuzzy AHP weighted aggregated sum product assessment (WASPAS) methods. Decision analysis applied select new between different alternatives through selection criteria....

10.1108/jm2-07-2024-0222 article EN Journal of Modelling in Management 2025-02-10

<title>Abstract</title> In recent years, countries have prioritized the selection of viable renewable energy alternatives, driven by urgent need for a transition to sustainable energy. Selecting appropriate sources requires careful consideration social, political, economic, and technological factors. This study proposes comprehensive framework evaluating alternatives using combination CRITIC (Criteria Importance Through Intercriteria Correlation) MABAC (Multi-Attributive Border Approximation...

10.21203/rs.3.rs-5507107/v1 preprint EN Research Square (Research Square) 2025-04-22

The technological habitat in which successful firms may flourish is rapid change. With digital transformation (DT), everything connected and interdependent. Manual processes are now automated for most businesses. As a result, habits, needs changing, which, turn, affects the conventional way offer their goods services. Airlines eager to participate trend as well. Those who adapt quickly this new world will gain greater share of pie. However, airlines have bulky rigid systems designed based on...

10.1016/j.dajour.2022.100055 article EN cc-by-nc-nd Decision Analytics Journal 2022-04-26

Purpose The global warming, caused by the anthropogenic greenhouse gases, has been one of major worldwide issues over last decades. Among them, carbon dioxide (CO 2 ) is most important and responsible for more than two-third effect. Currently, gas emissions CO – root cause warming in particular are being examined closely fields science they also have put on agenda political leaders. purpose this paper to predict energy-related through using different discrete grey models (DGMs) Turkey total...

10.1108/gs-08-2017-0031 article EN Grey Systems Theory and Application 2017-10-13

With the development of database technology, need for data mining arises. As a result, Association Rule Mining(ARM) has become very hot topic in mining. This paper presents definition and application areas association rules. Furthermore, comprehensive literature review on existing algorithms ARM is conducted with special focus performance algorithms. These are general classified into three main classes: (1) based frequent itemset, (2) sequential pattern, (3) structured pattern. The developed...

10.21533/scjournal.v5i1.102 article EN Southeast Europe Journal of Soft Computing 2016-05-20

This study proposes a three-stage holistic methodology combining an interval type-2 fuzzy analytical hierarchy process (IT2F-AHP) and data envelopment analysis (DEA) to deal with the performance evaluation problems encountered in decision environments. In first stage, prospective inputs outputs are determined by field studies. The second stage employs IT2F-AHP identify most appropriate indicators based on vague expert judgements. Finally, DEA is applied decision-making units (DMUs) selected...

10.1142/s0219622019500354 article EN International Journal of Information Technology & Decision Making 2019-10-30

This study presents a combined application of hybrid life cycle sustainability assessment and multi-criteria decision-making, aiming to further advance an integrated decision-making for the selection alternative-fuel taxis. First, multiregional model is built evaluate macro-level impacts various vehicle types: conventional gasoline vehicles, compressed natural gas hybrid, battery electric vehicles. Second, considering subjective nature evaluation process, interval-valued neutrosophic...

10.1080/15568318.2021.1943075 article EN cc-by-nc-nd International Journal of Sustainable Transportation 2021-07-27

İşletmelerin doğru işe personel yerleştirmesi, zaman, para ve enerji gerektiren hayati derecede önemli bir süreçtir sübjektif sözel sayısal kriterler içeren birçok kriterli karar verme (ÇKKV) problemidir. Bu çalışmada, seçimi sürecindeki belirsizlik sübjektiflik de dikkate alınarak problemin çözümü için bulanık MULTIMOORA metodu önerilmiştir. İşletmenin çalışanlarında aradığı yetkinlikler önde gelen havacılık firmasında, çeşitli departmanlarda istihdam edilmesi planlanan uzman çalışması...

10.28948/ngumuh.516835 article TR cc-by-nc Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 2019-01-23
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