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    A study to measure the economic effects of COVID-19 on the textile industry: Comparative evidence from Bursa and Gaziantep
    (2022) Bulur, Melike; Özceylan, Eren; Çetınkaya, Cihan
    The textile sector is one of the leading industries in the world and in Turkey. This sector is one of the most affected sectors by the recently emerged New Coronavirus Pandemic. Both people’s and business life are affected and supply chain activities were disrupted. Many companies tried to determine the economic and strategic impacts of the pandemic. This study focused on analyzing the economic effects of the New Coronavirus Pandemic based on yearly comparisons of the textile sector in Bursa and Gaziantep, Turkey. A questionnaire is applied and it includes descriptive questions, economic impact questions, and yearly based comparison analyses of 241 textile companies in Bursa and 181 textile companies in Gaziantep. The obtained data were analyzed via SPSS (Statistical Package for Social Sciences) 25.0 software by means of, frequency, percentage, average, standard deviations, T-test, and ANOVA tests. Most of the participants stated their economic worries and opinions in the economic impact analysis section. The hypotheses are tested and it is revealed that there is a meaningful difference between operation year, legal status, the market of businesses, and the monthly turnover of companies and how they were affected by COVID-19 in some of the subsets. In Bursa, participants have fewer negative opinions about the sustainability of economic activities. The study results showed that despite increased lead times, delivery times and participants’ negative opinions, monthly turnover, and the number of employees, the number of exporting companies increased in both cities.
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    An Analysis of AUGMECON2 Method on Social Distance-Based Layout Problems
    (Springer Science and Business Media Deutschland GmbH, 2022) Şimşek, Şeyda; Özceylan, Eren; Yalçın, Neşe
    In the COVID-19 era, social distance has become a new source of concern for people. Decision-makers have a limited idea of how to allocate people according to social distance due to the lack of preparedness for the pandemic. It is essential to think about both distributing as many individuals as possible in a particular area and minimizing the infection risk. This new concern’s multi-objective state affords decision-makers the opportunity to solve the problem using enhanced methodologies. The AUGMECON2 method, one of the recent popular generation methods, is used to produce the exact Pareto sets for the problem. The scale and time constraints of the challenge have been examined, and recommendations have been made to decision-makers on the trade-off between the number of people and the infection risk. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    An ERP Based Industry 4.0 Maturity Model Proposal
    (2024) Elibal, Kerem; Özceylan, Eren; Çetinkaya, Cihan
    This study proposes an Enterprise Resource Planning (ERP) based Industry 4.0 maturity. The model aims to make the vast array of Industry 4.0 technologies comprehensible and actionable for Small and Medium Sized Enterprises (SMEs) by mapping them to specific ERP functions, thus enabling a more agile and tailored approach to digitalization. A comprehensive literature review revealed limited research on this integrated approach and highlighted the need for a model that supports quick assessments and adaptable implementation strategies. A sample application has been conducted in a manufacturing company and it has been seen that the model leverages ERP's modularity to address company-specific needs and includes rapid evaluation features that provides to the dynamic requirements of SMEs, enhancing their competitive edge in the digital landscape. Additionally, the findings serve as a valuable guide for ERP designers/vendors, providing insights into the integration of Industry 4.0 technologies that can enhance ERP system capabilities.
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    Assessing the Emergency Assembly Areas Using Maximum Coverage Location Analysis: A Case of Gaziantep University
    (Springer Science and Business Media Deutschland GmbH, 2022) Özceylan, Eren; Çetinkaya, Cihan
    Emergency assembly areas (EAAs) are safe areas where the people can gather away from the dangerous area in order to prevent the panic that will take place until the temporary shelter centers are ready after disasters and emergencies. Determination of a suitable site for an EAA is crucial to decrease the negative impacts of disasters. There are a few criteria to be considered while finding a place for an EAA, e.g. assembly points should be located at a safe distance away from the danger (building, fire), they must be easily accessible, and finally they must be big enough to accommodate all potential victims. To solve this problem scientifically, the aforementioned conditions should be modeled as a maximum coverage location (MCL) problem. In this paper, the EAAs in Gaziantep University campus are discussed and evaluated. To do so, the 32 current points are considered as source nodes, and 65 buildings are considered as demand nodes. The covered population who are evacuated from buildings is maximized under different travel distance limits. An integer programming formulation is applied to evaluate the current EAAs and the suitability of existing signs is discussed. As a result, it has been determined that eight current EAAs are not suitable. According to another result, everyone can reach the remaining 24 EAAs within 196 m. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    TESTING of TREE-SEED ALGORITHM on P-MEDIAN BENCHMARK PROBLEMS
    (Yildiz Technical University, 2019) Eli?Güzel, İbrahim Miraç; Özceylan, Eren; Çeti?Nkaya, Cihan
    This paper presents an application of tree-seed algorithm (TSA) -which is based on the relation between trees and their seeds- on the P-median benchmark problems. To the best knowledge of the authors, this is the first study which applies TSA to the P-median problem. In this paper, different P-median problem instances are generated to show the applicability of the TSA. The experimental results are compared with the optimal results obtained by GAMS-CPLEX. Also, TSA is applied on data sets from OR-Library, and then the obtained and known optimal results are compared. The comparisons demonstrate that the TSA can find optimal and near-optimal values for the small and medium-sized problems, respectively. © 2019 Yildiz Technical University. All Rights Reserved.
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    Türkiye’deki Üniversitelerde Endüstri Mühendisliği alanında yapılan lisansüstü tezlerin analizi Analysis of post-graduate theses in Industrial Engineering area of Turkish Universities
    (2020) Çetınkaya, Cihan; Uslu, Ayşenur; Özceylan, Eren; Hayırsöz, Kaan Mert
    Today, engineers make efforts for post-graduate programs far morethan before. The main reasons can be increasing awareness of firmsabout education, decreasing job opportunities for undergraduatedegrees, the increasing demand for being an academician orscholarship opportunities by government. Some firms want their postgraduate student engineers to solve the firm’s problems in their masteror doctoral thesis as case studies. In this regard industrial engineeringis a field that adjusts almost with every sector because of itsmultidisciplinary nature. Thus, there are many post-graduate theseswritten in this area. The aim of this paper is to analyze 2,122 postgraduate theses (master & doctoral) which are carried out in thedepartment of industrial engineering in Turkish universities. The datais obtained from the website of Council of Higher Education of Turkey.The time period is determined as 2010-2017 and only the 1780“permission” theses are analyzed in order to reach keywords for solutionapproaches and keywords analysis. Nine different indicators are used toanalyze the thesis such as; university status, page numbers, language,keywords etc. As a result, this study shows how the theses are clusteredaccording to different indicators and which topics are studied morefrequently in recent years. The inference of the paper is importantbecause the results give an insight about the road map of industrialengineering thesis completed in 56 different Turkish universities.