Endüstri Mühendisliği Bölümü / Department of Industrial Engineering

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    PublicationOpen Access
    The Impact of Perceived COVID-19 Threat and Death Anxiety on Buying Behavior Among Academics: A Comparison Between Türkiye and Northern European Countries
    (Türk Kooperatifçilik Kurumu, 2023) Turna, Gülçin Bilgin; Pekmezci, Halil; IŞIK, OKAY
    Academics, one of the occupational groups exposed to isolation in the COVID-19 epidemic, tried to adapt to the remote working regulations by not being able to maintain the social environment they were accustomed to in universities. This study aimed to examine the impact of perceived COVID-19 threat and death anxiety on revenge buying behavior by comparing academics who work in Türkiye and Northern Europe (the United Kingdom, the Netherlands, and Norway). “Revenge buying” is a term popularized in the marketing field during the global COVID-19 quarantines. It refers to the surge in shopping desire observed after the lifting of pandemic-related lockdown measures. Data was collected online by using three scales: the “Perceived COVID-19 Threat Scale”, “Templer’s Death Anxiety Scale” and “Revenge Buying Behavior Scale”. The sample consisted of total 327 academics: 163 from Türkiye (TR) and 164 from Northern Europe (NE). Structural Equation Modelling (SEM) was adopted for the analyses. The results showed that academics in NE were more prone to revenge buying behavior than TR. As the perceived threat of COVID-19 and death anxiety increased, it was determined that academics working in both TR and NE have tendencies for revenge buying. However, there was insufficient evidence to support the mediating role of death anxiety in the relationship between perceived COVID-19 threat and revenge buying behavior. In this interdisciplinary study, statistically significant differences identified based on the demographic characteristics of academics working in TR and NE have also been indicated.
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    PublicationOpen Access
    Marmara Denizi'nde Görülen Müsilajın Ortadan Kaldırılmasına Yönelik Politikaların Sistem Dinamiği İle İncelenmesi
    (Kahramanmaraş Sütçü İmam Üniversitesi, 2024) DEMİREL, DUYGUN FATİH; Sezer, Eylül Damla Gönül
    Jeopolitik, ekonomik ve ekolojik açıdan önemli bir yeri olan Marmara Denizi’nde yaşanan kirlilikteki artış son yıllarda farklı çevrelerin dikkatini çekmekle birlikte özellikle 2020-2021 yıllarında yaşanan müsilaj problemi sorunun ciddiyetini ortaya koymuştur. Literatürde iklim değişikliği, topografik yapı, artan nüfus, sanayileşme, tarım aktiviteleri, atıksu arıtma sistemlerinde kullanılan teknolojinin yetersizliği, vb. etmenlerin müsilaj oluşumunu tetiklediği öne sürülmektedir. Müsilaj sorununun çözümüne yönelik çeşitli stratejiler öne sunulmakla birlikte bu stratejilerin ne gibi sonuçlar doğuracağına ilişkin sayısal bir çalışma bulunmamaktadır. Bu amaçla bu makalede Marmara Denizi’nde görülen müsilaj olgusunu modellemek ve sorunu çözmeye yönelik politikaların etkilerini incelemek üzere sistem dinamiği yaklaşımına dayalı bir benzetim modeli sunulmaktadır. Önerilen model müsilaja neden olan temel mekanizmalar ile müsilajın ekonomik etkilerini temsil etmekte olup müsilaj problemini ortadan kaldırmaya yönelik çeşitli stratejilerin etkinlik seviyelerini farklı senaryolarla ortaya koymaktadır. Elde edilen bulgulara göre ileri biyolojik arıtma seviyelerinin arttırılması, tarım ve hayvancılık aktiviteleri için alınacak önlemler ve bölge nüfus artışına karşı alınacak önlemlerin bir arada uygulanmasının Marmara Denizindeki müsilaj riskini sınırlandıracağı sonucuna varılmaktadır.
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    PublicationOpen Access
    A New Organizational Agility Assessment Approach Applied in the Logistics Industry
    (Melih Topaloğlu, 2022) GERGİN, ZEYNEP; AK, MEHMET MİRAÇ; ÇOLAK, EREN; KAYALAR, MUSTAFA; YAVAŞOĞLU, CAN DENİZ
    Purpose – Today, the variable and numerous demands from customers, changing market conditions and the depletion of resources have made agile working methods more necessary than in the past. In this study, it is aimed to increase the awareness of the concept of agility in companies and to accelerate the agile transformation processes. Design/Methodology/Approach – In this research study, a new measurement scale is developed to assess the current agility levels of the companies operating in logistics sector. The new instrument measures the agility levels of seven business processes for eight components of agility and an aggregated level for company agility score is identified. The detailed questionnaire, which is composed of 51 questions, is applied to 4 companies operating in the logistics sector, differing in size and structure, and their current agility level is evaluated. The weights for business processes and agility component are also defined sector based via Analytic Hierarchy Process (AHP) during the calculation of the final agility score. Due to the detailed structure of the tool, the results gave opportunity for a detailed analysis of the strengths and weaknesses of the business processes. Hence, custom recommendations could be made in order to improve the agility level of the company. Findings – It is seen that there are common elements like technology and innovation, that are highly effective on agility for every company studied, as well as there are prior elements to be focused that differ with the size and structure of the company. It is also concluded that companies need to be more agile as their operation size increases and they can meet these needs with managers who have an innovative perspective. Discussion – This study has developed its own methodology, its own research tool and recommendations, unlike previous studies in the field of agility. Aiming to bring a new link to the academic chain with these features, this project can shed light on more diverse studies in the field of agility.
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    PublicationOpen Access
    Prediction of University Students' Subjective Well-Being with Sleep and Physical Activity Data using Classification Algorithms
    (Elsevier B.V., 2022) KILIÇ, AKİF CAN; Karakuş, Ahmet; Alptekin, Emre
    Daily activities affect mental health. One of the most used scales is "subjective well-being (SWB)", which is a self-reported questionnaire. This study aimed to predict SWBs using step count, heart rate and sleep duration data from sensors instead of questionnaires. NetHealth data from the University of Notre Dame1 has been used. Attributes included average daily steps, average heart rate, heartbeat standard deviation, average sleep duration, and sleep duration deviation. Preprocessing, processing, classification, and evaluation followed. Naive Bayes, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Ensemble classifiers were used. Performance metrics include accuracy, precision, recall, F1-Score, and ROC (Receiver Operating Characteristic) curves. Model accuracy was 62%. This indicates that machine learning could be beneficial in detecting SWB levels using sensor data. © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022).
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    ItemOpen Access
    Sürdürülebilirlik ve Yenilikçi Teknolojiler Sempozyumu Bildiriler Kitabı, (Özet / Tam Metin)
    (İstanbul Kültür Üniversitesi, 2024) Kolektif; ed., Ceren Aycan Gürel Hoşhanlı; ed., Oğuz Emir
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    PublicationOpen Access
    Triggering Corporate Sustainable Performance in Construction Sector through Green Training: Moderating Effect of Barrier in Construction Management
    (Yıldız Teknik Üniversitesi Rektörlüğü, 2023) WARIS, IMRAN; ÜLKÜ, İLAYDA
    Construction barrier plays a significant but negative role-play between green training and corporate sustainability performance due to limited resources. The research question in this study is to explore the relationship between green training and sustainable performance in the construction industry, while also considering the moderating role of construction barriers. This study gives extensive knowledge of green training and corporate sustainability performance. Data is obtained from 225 employees using a convenience sampling technique from the construction sector. The research employed SPSS/PROCESS and follows a cross-sectional research design. Study findings show green training is an antecedent of the sustainable performance of the construction sector. The result shows that Green training significantly and positive role-play in sustainable performance. Person-organization fit theory covers the whole phenomenon. That focuses on productivity, performance, and personal well-being. Under P-O fit theory results are showing the compatibility between a person and an organization where they are doing work. This study's results highlight the green training that transforms the em- employee’s mindset towards corporate sustainable performance. In the future, need longitudinal studies that will be more acceptable. This study provides insights to the managers, policymakers, and practitioners of sustainable environment and performance. The current study will help economies in the developing world, such as Pakistan.
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    PublicationOpen Access
    Yalın Sistem Tasarımı İçin Simülasyon Destekli Değer Akış Haritalama Uygulaması
    (TMMOB Makina Mühendisleri Odası, 2021) EMİR, OĞUZ; GERGİN, ZEYNEP
    İşletmeler, küresel rekabette hayatta kalabilmek için, üretim kaynaklarını daha iyi kullanarak verimliliklerini arttırmak zorundadır. Bu sebeple, katma değerli olmayan faaliyetlerinin ortadan kaldırılması ve süreçlerde sürekli iyileştirme yapılması yoluyla, değer yaratmalarına ve müşterilerinin gereksinimlerini karşılamalarına yardımcı olan yalın yönetim ilkelerini giderek daha fazla uygulamaktadırlar. Bu çalışma, hızlı tüketim ürünleri sektöründe faaliyet gösteren global ölçekteki bir üretim şirketinin, Türkiye tesisine ait paketleme hattında uygulanan bir yalın sistem tasarımı örneğidir. Firma 150’den fazla ülkeye şekerleme üretimi ve dağıtımı yapmaktadır ve söz konusu paketleme hattı bu ürünler için çalışmaktadır. Bu çalışmada üretim sisteminde bulunan paketleme hatlarının performansını arttırmak amaçlanmıştır. Bunun için hatlar yalın yönetimin 7 başlık altında grupladığı israf kalemleri – gereğinden fazla üretim, gereksiz işlemler, fazla stok, hatalı üretimler, taşımalar, gereksiz hareketler ve beklemeler – açısından incelenerek israfları azaltacak şekilde yeniden dizayn edilmiştir. Çalışma, süreç adımlarının mevcut durumdaki genel hat kullanım oranları ve operasyon verimliliklerinin belirlenmesi, Mevcut Durum Değer Akış Haritası (DAH) ile israf kalemlerinin görsel olarak tanımlanması ve istatistiksel süreç kontrol yöntemleri ile analizi ile başlar. Daha sonra, talep miktarı ve termin süresi parametrelerine bağlı olarak hat verimliliğini arttıracak iyileştirme önerileri belirlenir ve değerlendirilen önerilerin hesaplanan sonuçları gelecek durum DAH'ları ile sunulur. Bu çalışmada ayrıca, DAH metodunu desteklemek ve alternatif iyileştirme senaryolarını karşılaştırmak amacıyla Arena yazılımı kullanılarak sistemin simülasyon modeli geliştirilmiştir.