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EMİR, OĞUZ

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EMİR

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OĞUZ

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    Publication
    Implementation of MCDM Approaches for a Real-Life Location Selection Problem: A Case Study of Consumer Goods Sector
    (Springer-Verlag Singapore Pte Ltd., 2022) EMİR, OĞUZ
    Selecting a suitable warehouse location elevates the supply chain performance by reducing the lead times and increasing the response efficiency. Hence, location selection emerges as a strategic decision-making problem for competitive advantage. In this paper, a real decision-making problem of a multinational company operating in the consumer goods sector has been examined. The company's Turkey office is responsible for the operations in many regions such as Middle East, Africa, Central Asia, and Eastern Europe. A case study is handled by the logistics network planning team of the company to evaluate the new warehouse request coming from the regional sales team. For this decision problem, two different multi-criteria decision-making methods TOPSIS and VIKOR, are employed to evaluate four alternative scenarios. In addition, the AHP technique is also applied to determine criteria weights. The results of both methods revealed the same alternative as the best decision.
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    An Analytical Approach to Machine Layout Design at a High-Pressure Die Casting Manufacturer
    (Springer-Verlag Singapore Pte Ltd., 2022) EMİR, OĞUZ; AKTİN, AYŞE TÜLİN
    Sahin Metal was founded in 1975 on a 7500 m(2) area in.Istanbul to supply high-pressure aluminum casting parts to a variety of industries, especially automotive manufacturers. 64 different products are produced with various routings through 14 workstations in the plant. Being a Tier 2 company, these products are then sent to Tier 1 firms and finally reach the leading vehicle manufacturers. Nowadays, increasing competition, changing customer demands, and quality targets bring the necessity of restructuring internal processes. In this regard, Sahin Metal plans to rearrange the existing machine layout to minimize the distance traveled between departments by taking into account the material flow. This study aims to determine an efficient machine layout design by implementing analytical approaches. The study is started by visiting the production facility and meeting with the company's engineers to determine the project roadmap. Following that, the data collection process is initiated, and ABC analysis is performed to define product classes. After this identification, two approaches are utilized simultaneously. The Hollier method is employed to find a logical machine arrangement. In addition, a mathematical model based on the Quadratic Assignment Problem (QAP) is developed to obtain the optimum machine layout. The developed integer nonlinear model is solved by CONOPT using GAMS software under various scenarios. Finally, these results are compared with the existing system, and a convenient layout design is proposed to the company.
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    Publication
    A Comparative Sectoral Analysis of Industry 4.0 Readiness Levels of Turkish SMEs
    (Springer Science and Business Media Deutschland GmbH, 2021) EMİR, OĞUZ; GERGİN, ZEYNEP; YÜKSEKTEPE, FADİME ÜNEY; Dündar, Uğurcan; Gençyılmaz, Güneş M.; Çavdarlı, Ali Ihsan
    The concept of Industry 4.0 brings new standards and has an essential impact on business models, work organizations, and processes. Nowadays, companies are enforced to perform such challenges as meeting personal customer requests, flexibility, responsiveness, customer-oriented solutions, and delivering continuous value to survive in the competitive market. The most innovative companies are resourceful to integrate new digital tools into their business models by following initial trends. For Small and Medium-Sized Enterprises (SMEs), adopting these new industrial challenges, and responding to them quickly is vital when it is considered that they have 99.8% of the enterprise share of Turkey. To do so, an intensive effort is needed to integrate Industry 4.0 applications within the enterprises. It has been suggested in the literature that manufacturing organizations should begin with understanding their current level of maturity by defining their strengths and weaknesses. Further, a significant effort is required with the collaboration of government, academia, and industry leaders to guide enterprises for improving their capabilities in an objective and standardized manner. Despite the diversity of approaches directed to Industry 4.0 concepts, it is not easy to find a study that measures how the manufacturing sector is adopting Industry 4.0 and compares manufacturing sectors with each other. To this end, broad research is initiated in March 2018 to identify the current situation of SMEs in Turkey. In this paper, it is intended to extend the study by providing a comparative sector analysis for manufacturing SMEs in Turkey in terms of Industry 4.0 transformation. Possible action plan suggestions are presented according to the results obtained at the end of the paper. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Publication
    An Integrated Assessment of Food Waste Model Through Intuitionistic Fuzzy Cognitive Maps
    (Elsevier, 2023) EMİR, OĞUZ; Ekici, Şule Önsel
    In recent years, the waste management field has received substantial attention from policymakers, organizations, academics, and researchers due to increased focus on sustainability and carbon footprint reduction as well as concerns around rapid depletion of natural resources, public health, and environmental impact. Studies on food waste management have become especially important given the dramatic growth of the world's population and global hunger and malnutrition crisis. Considering the fact that one-third of the world's food supply is wasted or lost annually while hundreds of millions of people are living with food insecurity, it is easy to understand the importance of research studying appropriate food waste management actions for sustainability. Since the subject of food waste involves complicated linkages, the determination of a suitable model is pivotal. Integrated assessment models (IAMs) have been commonly used to uncover hidden patterns and present insights to policymakers. Furthermore, these models are well-designed to integrate data, information, and multidisciplinary knowledge into a single framework. This project presents a Fuzzy Cognitive Map (FCM) extended with intuitionistic fuzzy sets using the documentary coding method. This intuitionistic FCM (iFCM) is used to analyze the primary factors, explore the interactions between food waste factors, and prioritize some policies to reduce food waste by incorporating hesitancy weight factors representing the lack of information. Then several what-if scenario analyses are generated to review the interrelationships between factors in the developed model and facilitate a decision-making process for researchers. Eventually, it is concluded that food waste reduction is achievable with the implementation of the right policies, and this also improves the other concepts such as the intention not to food waste, shopping routines, and planning routines.
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    Publication
    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.