Sağnak, Muhittin
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Sagnak, Muhittin
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m.sagnak@yahoo.com
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03.02. Business Administration
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Former Staff
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Sustainable Development Goals
Documents
30
Citations
1522
h-index
17
Documents
30
Citations
1175
Scholarly Output
8
Articles
5
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0/0
Supervised MSc Theses
0
Supervised PhD Theses
1
WoS Citation Count
128
Scopus Citation Count
170
WoS h-index
4
Scopus h-index
4
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0
Projects
0
WoS Citations per Publication
16.00
Scopus Citations per Publication
21.25
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3
Supervised Theses
1
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8 results
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Article Citation - WoS: 89Citation - Scopus: 106Integration of Green Lean Approach With Six Sigma: an Application for Flue Gas Emissions(Elsevier Sci Ltd, 2016) Sağnak, Muhittin; Kazançoğlu, YiğitEnvironmental considerations have led organizations to take an important role in designing environmentally-friendly, recyclable products to complement improvements in the environmental standards of services. In this context, the application of lean practices may result in pollution reduction. In this paper, firstly, the integration of green lean approach is discussed, and then the limitations of green lean approach are identified. Finally, we integrate the Six Sigma approach in order to overcome these limitations, and assess the performance of the green lean approach. Measurement System Analysis and Gage Control are used as methodology to measure the variations of the process in order to decrease unfavorable ecological impacts of companies' products or services, while enhancing environmental efficiency. (C) 2016 Elsevier Ltd. All rights reserved.Doctoral Thesis Performance Assessment of a Factory Layout Design: Hybrid Multi Criteria Decision Making Model With an Application in the Elevator and Escalator Company(İzmir Ekonomi Üniversitesi, 2016) Sağnak, Muhittin; Kazançoğlu, Yiğit; Ada, ErhanTesis yerleşim düzeni problemi, endüstri mühendisliği ve işlemler yönetimi alanlarının temel araştırma konularından bir tanesidir. Literatürde, çoğu tesis yerleşim problemi modellemesi olarak karşımıza çıkan birçok araştırma makalesi bulunmaktadır. Araştırmacılar, bir yerleşim düzeni yaratmak için matematiksel modelleme, sezgisel yöntemler, üst sezgisel yöntemler ve benzetim gibi algoritmalar geliştirmişlerdir. Bir yerleşim düzenin değerlendirme süreci onun yaratılması kadar önemli olmasına rağmen, konuyla alakalı olan literatür, yerleşim düzeni değerlendirmesini inceleme açısından eksikliklere sahiptir. Bir yerleşim düzeninin değerlendirilmesi önemlidir, çünkü yerleşim düzeni değerlendirmesi aslında işlemlerin performansının değerlendirmesidir. Yerleşim düzeninin performansının değerlendirmesi yerleşim düzeninin temel özelliklerini incelemelidir. Bu yüzden, indeksler, diğer bir deyişle, kriterler, alt kriterler ve ölçümler, yerleşim düzeninin temel özelliklerini anlamak ve yansıtmak için dikkatlice belirlenmelidir. Bu bağlamda, bu tez çalışması yeni bir melez çok kriterli karar verme modeli yaklaşımı ile yerleşim düzeninin performansını değerlendirmeyi amaçlamaktadır. Sistematik ve detaylı bir literatür taraması yoluyla, kriterler, buna buna bağlı olan alt kriterler ve ölçümler belirlenmiştir. Bu tezin üç temel katkısı vardır. Birincisi, indeksler; kriterler, alt kriterler ve ölçümler olarak sınıflandırılmıştır. İkincisi, kriter seti yerleşim düzeni boyutlarının etkinliğini tam anlamıyla açıklamaktadır. Son olarak, performans değerlendirmesi için, melez modelde dört farklı çok kriterli karar verme tekniği kullanılmıştır. Uygulama, Maltepe/Menemen/İzmir bölgesinde faaliyet gösteren bir asansör ve yürüyen merdiven fabrikasında gerçekleştirilmiştir. Firmadan, genel müdür, üretim müdür, üretim müdürü yardımcısı, yönetim kurulu üyesi ve usta başı olmak üzere 5 uzman ankete katılmıştır. Melez çok kriterli karar verme tekniği model olarak adlandırılan model, farklı çok kriterli karar verme tekniklerinden oluşmaktadır. İlk olarak, kriterler arasında ilişkiyi belirlemek için bulanık Toplam Yorumlayıcı Yapısal Model tekniği uygulanmıştır. Daha sonra, kriterler arasındaki nedensel ilişkileri belirlemek için, bulanık Karar Verme Deneme ve Değerlendirme Laboratuvarı tekniği, uygulanmıştır. Bir sonraki aşamada, alt kriterlerin önem ağırlıklarını belirlemek amacıyla, bulanık Karar Verme Deneme ve Değerlendirme Laboratuvarı tekniğinin sonucunun, iç bağlılık matrisinin, yardımıyla bulanık Analitik Ağ Süreci tekniği uygulanmıştır. Alt kriterler önem ağırlıkları belirlendikten sonra, her bir alt kritere bağlı olan ölçümlerin önem ağırlıkları, bulanık Analitik Hiyerarşi Süreci kullanılarak bulunmuştur. Böylelikle, yapısal nedensel ilişkiler, alt kriterlerin ve ölçümlerin önem ağırlıkları bulunmuştur. Bulunan bütün önem ağırlıkları, toplam performans değerini bulmak amacıyla, kolektif seansta değerlendirilen ölçümlerin performans değerleri ile çarpılmıştır. Performans değerlerinin toplamı, firmanın etkinlik ve verimlilik düzeyini gösteren toplam performans değerini vermiştir.Article Citation - Scopus: 1Turkish Airlines: Fast Growing Star of Skies(World Scientific Publ Co Pte Ltd, 2014) Gunerergin, Mert; Gunay, Gonca; Celikdemir, Feride Deniz Zaptcioglu; Sağnak, MuhittinTurkish Airlines was founded in 1933 as Turkey's first flight carrier under the Ministry of Defense. In 1956, it was reorganized and operated under special legislation and renamed Turk Hava Yollari A.O. Since this time, it has continuously expanded its fleet. Under successful growth strategies, Turkish Airlines had added new flight destinations and aircrafts to enhance its values. Turkish Airlines decided to join the Star Alliance on 4 August. It had been nominated The Best Airline in its region and received the Aircraft Finance Journal's 2008 European Deal of the Year award for the financing of aircraft. Turkish Airlines is known for its impeccable service, flight safety and connectivity worldwide. With its global headquarters in Istanbul, it is a gateway between east and west. In recent years, Turkish Airlines had achieved 12% growth in its operating profits and 15% growth in its sales revenues. The number of aircraft grew by 4%, from 127 to 132. International routes accounted for 79% and domestic routes 21% of revenues from scheduled services. Turkish Airlines had established the Anadolu Jet brand and transported 13.4 million passengers to 119 destinations in 5 continents. Turkish Airlines had kept growing even during the economic crisis. This case examines the vision and mission of Turkish Airlines and its growth strategies. It also examines the marketing strategies used to pursue growth.Conference Object Citation - Scopus: 1Integrated Fuzzy Topsis and Goal Programming Technique for Machine Selection Problem: an Application(Computers and Industrial Engineering, 2014) Ada E.; Kazançoğlu, Yiğit; Sagnak M.Globalization forces firms to adapt to changing market conditions and increased uncertainty. Shorter product life cycles, changing and increased customer expectations, and technological developments have specially suppressed manufacturing firms. In order to increase firms' performance and efficiency, machine and equipment selection is one of the most important decisions. In this study, the machine selection problem is solved by integrated fuzzy TOPSIS and goal programming techniques. The aim of the study is to provide managers meaningful support about machine selection problem. The criteria for machine selection are determined by literature review and managers' judgments. In the proposed method, the criteria weights are determined by fuzzy TOPSIS, and then the final selection of alternatives are made by goal programming.Article Citation - WoS: 4Citation - Scopus: 5Improving Competitiveness of Small- and Medium-Sized Enterprises (smes) in Agriproduct Export Business Through Anp: the Turkey Case(Wiley, 2013) Erhan ADA; Kazançoğlu, Yiğit; Sagnak, MuhittinAgricultural production has considerable potential in Turkey. Different regions of the country are able to supply a variety of agricultural products due to the wide-range of climate conditions and high land quality. Also, the majority of the water resources in the region are located within the country. Hence, with the implementation of the effective agricultural policies, agricultural products can be significantly increased in terms of quality and quantity. In this context, this study investigates findings from an explanatory study of dried fruit production and exports to improve SMEs' competitiveness in the agriproduct export business. Turkey reported a trade deficit equivalent to USD 7533 million in November of 2011, and this shortfall is becoming more threatening day by day. Because Turkey has a comparative advantage in the dried food industry, it would be valuable to conduct a study to present a management decision tool to determine which factors are more important and to identify the weights that are most significant for dried fruit exporters. The analytical network process (ANP) method was selected to solve the problem because it has been successfully used to evaluate the factors when interdependency exists in between the decision criteria. The contributions of the study could be extended to other sectors and problem areas of business management because the approach, model, and methodology can be easily adopted by practitioners. (C) 2012 Wiley Periodicals, Inc.Conference Object Citation - WoS: 1Shift Scheduling With Fuzzy Logic: an Application With an Integer Programming Model(Elsevier Science Bv, 2015) Sagnak, Muhittin; Kazançoğlu, YiğitThe shift scheduling, which is one of the most crucial processes in order to increase efficiency and decrease labor costs, is a common phenomenon in both manufacturing and service organizations such as airlines, security services, fire stations, etc. In order to meet changing demand and keep responsiveness and flexibility, the shift scheduling includes the scheduling of manpower by assigning employees to shifts determined by types, length, and the number of breaks. The types of shifts may present variety such as part time and full time shifts. The breaks also show variety like lunch breaks, short rests, and compulsory reasons based on the occupational health and safety or necessities for maintenance. To overwhelm this complexity, this paper recommends an integer programming model integrated with fuzzy logic due to the vagueness inherited to the nature of decision-making process in order to provide flexibility in shift lengths, and lower the total labor costs. (C) 2015 The Authors. Published by Elsevier B.V.Article Citation - WoS: 8Citation - Scopus: 13Quality Function Deployment Application for Improving Quality of Education in Business Schools(Routledge Journals, Taylor & Francis Ltd, 2017) Sagnak, Muhittin; Ada, Nesrin; Kazancoglu, Yigit; Tayaksi̇, CansuThere is an increasing competition between universities globally to attract students. At this point, to compete, it is imperative for the universities to improve the quality of education provided for their stakeholders, including students, parents, and employers. For improving the quality of education, first of all, the universities should make efforts to understand stakeholder expectations, by analyzing their needs and wants. For this purpose, the authors incorporated the quality function deployment technique with fuzzy analytical network process. Due to the vagueness present in the evaluation of relative importance of the criteria for higher education, fuzzy set theory is integrated.Article Citation - WoS: 26Citation - Scopus: 44Big Data-Enabled Solutions Framework To Overcoming the Barriers To Circular Economy Initiatives in Healthcare Sector(Mdpi, 2021) Kazancoglu, Yigit; Sagnak, Muhittin; Lafci, Cisem; Luthra, Sunil; Kumar, Anil; Tacoglu, CanerEver-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system, and to maintain its processes effectively. In the healthcare sector, the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials, increased energy use, and its environmental burden. In this context, circularity and sustainability concepts have become essential in healthcare to meliorate the sector's negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector, apply big data analytics in healthcare, and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation, and a proposal for a big data-enabled solutions framework to barriers to circularity, using fuzzy best-worst Method (BWM) and fuzzy VIKOR. Based on the findings, managerial, policy, and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector.