Browsing by Author "Ekinci, Esra"

Now showing 1 - 15 of 15

Citation - Scopus: 1
Analysis of industry 4.0 applications for Turkish agriculture
(EDP Sciences, 2024) Damla Temimhan; Esra Ekinci; Yigit Kazancoglu; Ekinci, Esra; Kazancoglu, Yigit; Temimhan, Damla; Y. Kazancoglu , S. Karamperidis , S. Jagtap , V. Koval
This article presents analysis of industry 4.0 applications for the Turkish agriculture sector. Applications were picked and explained. However industry 4.0 applications were explained in the literature there are not adequate studies indicate the relationship and impact of the technologies on the agriculture sector. Also to adapt these applications most related and solution oriented applications needs to be picked by decision makers. Study aims to evaluate and scale alternatives using interpretive structural modelling method of Multicriteria Decision Aiding. Experts are reviewed the correlation between technologies to consider and apply ISM method. The By applying this method ordering and convenient applications will be ranked and review could be interpreted in simple way. © 2024 Elsevier B.V. All rights reserved.
Blok zincir teknolojisinin denizyolu lojistik şirketlerine entegre edilmesi
(2022) Arifoğlu, Burak; Ekinci, Esra
With the accelerated technological developments in business life, companies are seeking opportunities to improve their way of working. In maritime logistics sector, deployment of such technologies can create advantages in order to compete with other global companies. In this research, 9 dimensions -such as organizational, environmental and technological- in which Blockchain technology adds value has been gathered. Based on these dimensions, 35 factors which needs to be considered in the adaptation of Blockchain technology has been listed. Using Total Interpretive Structural Modelling method, these factors and their dependency with each other has been evaluated. Method can also guide the maritime logistics companies in building up a road map during integration of this new technology from scratch.
Citation - WoS: 17
Citation - Scopus: 23
Building sustainable resilient supply chain in retail sector under disruption
(Elsevier Ltd, 2024) Esra Ekinci; Muruvvet Deniz Sezer; Sachin Kumar Kumar Mangla; Yigit Kazancoglu; Sezer, Muruvvet Deniz; Ekinci, Esra; Mangla, Sachin Kumar; Kazancoglu, Yigit
Blockchain technologies have played a crucial role in transforming the retail industry leading to remarkable advancements in recent times. Its pivotal role in managing risky environments by offering preventive and proactive measures cannot be overstated. The research contribution lies in introducing a set of criteria for assessing the adoption of Blockchain technology specifically designed to evaluate the resilience of the retail sector. This study aims to ensure the establishment of a sustainable resilient supply chain across diverse retail categories particularly in the face of uncertain circumstances. A hybrid decision-making approach that combines the Best-Worst Method (BWM) and Fuzzy TODIM has been employed to achieve these objectives. This study encompasses various types of retail companies to assess and compare their resilience levels by adopting Blockchain technology. The results of this study robustly suggest that speciality retailers with well-established long-term partnerships are more predisposed to embrace and leverage the capabilities of Blockchain technologies. Conversely discount retailers in Turkey face various challenges that impede their effective integration of Blockchain technologies. These challenges encompass collaborating with suppliers on short-term agreements and the unavailability of product tracking among other factors. As a result the outcomes of this study offer valuable insights for retailers in the sector suggesting that they should consider modifying their operational strategies to better align with the adoption and integration of Blockchain technologies in the future. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 16
Citation - Scopus: 21
Complexity and performance measurement for retail supply chains
(EMERALD GROUP PUBLISHING LTD, 2019) Esra Ekinci; Adil Baykasoglu; Ekinci, Esra; Baykasoğlu, Adil
Purpose The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short mid and long terms. Confronted complexity in the supply chain has been categorized as system perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not. Design/methodology/approach Three different retail supply chain scenarios - each concentrating on different planning horizons - have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics a multi-perspective analysis has been performed on the STELLA output. Findings The results and the methodology can be easily applicable in practice to support decision-making process and to answer what-if type scenario analysis on systems design and configuration. Using the selected complexity metrics complexity of the system considering time factor - static and dynamic - and different information levels - system perceived and value adding - has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished. Originality/value This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity.
Citation - WoS: 1
Electricity Consumption Forecasting in Turkey
(SPRINGER-VERLAG SINGAPORE PTE LTD, 2022) Bugsem Acar; Selin Yigit; Berkay Tuzuner; Burcu Ozgirgin; Ipek Ekiz; Melisa Ozbiltekin-Pala; Esra Ekinci; Ozgirgin, Burcu; Ekiz, Ipek; Ekinci, Esra; Acar, Bugsem; Ozbiltekin-Pala, Melisa; Yigit, Selin; Tuzuner, Berkay; NM Durakbasa; MG Gencyilmaz
Electrical energy is a type of energy that needs to be transmitted quickly and with high quality. With the development of industry and technology the need for electrical energy is increasing every day. Accurate forecasting of electricity consumption is crucial since electricity cannot be stored. In this study electricity consumption in Turkey has been forecasted for long run using Grey Model and short run using the seasonal ARIMA model. Short term production is important to produce the right amount at the right time to meet exact demand. Also in the short-term seasonal fluctuations in electricity will guide the companies in planning production and capacity. Long-term forecasting will indicate the investment requirement in facilities.
Evaluation of Retailer Performance in Turkey
(Springer Science and Business Media Deutschland GmbH, 2023) Nazlı Serra Erkanlı; Özge Hacıoğlu; Hamdi Batuğ Sütcü; Abdullah Sincar; Egehan Solak; Burak Çetiner; Esra Ekinci; Çetiner, Burak; Sincar, Abdullah; Ekinci, Esra; Erkanlı, Nazlı Serra; Solak, Egehan; Hacıoğlu, Özge; Sütcü, Hamdi Batuğ; N.M. Durakbasa , M.G. Gençyılmaz
The retail industry is a large service platform where national and international manufacturers bring their products to consumers. Today the retail sector both bricks-and-mortar and online is developing and adapting to the changing needs of the customers. Depending on the changing demand patterns of the customers one can notice that key success criteria of the sector transform as well. Rapid adaptation to changing requirements of the retail sector is necessary in order to survive in the increased competition and to increase the market share among the other companies. In order to analyze the sector in Turkey retail brands that are selected from the largest 500 companies of Turkey (Capital 500 list) were examined using the relevant success criteria. Key success factors have been chosen from the existing literature about the retail sector. Firstly retailing was examined in a theoretical framework to better undersand the elements that define the sector alongside technological capabilities of the sector. Additionally the effects of Covid-19 on e-retailing were also evaluated with the purpose of determining the changes forced upon the sector by the pandemic. In the light of the findings the emerging companies observed changes and directional shifts and the size of the competition in Turkish retailing sector are discussed. Success criteria were chosen from the existing literature and were weighted in accordance with importance ranks obtained through content analysis. Considering success criteria DEA analysis has been carried out and the efficiency level of the companies has been evaluated. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 31
Citation - Scopus: 35
Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China
(Elsevier Ltd, 2023) Yigit Kazancoglu; Esra Ekinci; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
COVID-19 has negative impacts on supply chain operations between countries. The novelty of the study is to evaluate the sectoral effects of COVID-19 on global supply chains in the example of Turkey and China considering detailed parameters thanks to the developed System Dynamics (SD) model. During COVID-19 spread most of the countries decided long period of lockdowns which impacted the production and supply chains. This had also caused decrease in capacity utilizations and industrial productions in many countries which resulted with imbalance of maritime trade between countries that increased the freight costs. In this study cause and effect relations of trade parameters supply chain parameters demographic data and logistics data on disruptions of global supply chains have been depicted for specifically Turkey and China since China is the biggest importer of Turkey. Due to this disruption mainly exports from Turkey to China has been impacted in food chemical and mining sectors. This study is helpful to plan in which sectors, the actions should be taken by the government bodies or managers. Based on findings of this study new policies such as onshore activities should consider to overcome the logistics and supply chain disruptions in global supply chains. This study has been presented beneficial implications for the government policymakers and academia. © 2023 Elsevier B.V. All rights reserved.
Lean Warehouse Application in a Meat Producer Company
(Springer Science and Business Media Deutschland GmbH, 2021) Aysu Aksütoğlu; Egemen Bıkmaz; Nazlı Ecem Sırkıntı; Melisa Ozbiltekin-Pala; Esra Ekinci; Bıkmaz, Egemen; Aksütoğlu, Aysu; Pala, Melisa Özbiltekin; Ekinci, Esra; Sırkıntı, Nazlı Ecem; N.M. Durakbasa , M.G. Gençyılmaz
This study aims to determine the necessary processes to improve warehouse operations using lean principles while considering important criteria of efficient warehouse management in a meat producer company. In order to identify problem areas Spaghetti Diagram has been prepared and company warehouse operations have been analyzed. In the company problems observed in warehouse operations are mainly unnecessary handling and layout problems in the warehouse. In order to handle the problems Value Stream Mapping and Multi-Criteria ABC Analysis methods have been employed. With the help of Value Stream Mapping lean principles can be adopted in the warehouse operations. On the other hand Multi-criteria ABC analysis can guide the company in product placements in the correct location. At the end of this study suggestions have been proposed for the company to reduce wastes improve several processes in the warehouse. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 120
Citation - Scopus: 147
Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics
(John Wiley and Sons Ltd, 2021) Yigit Kazancoglu; Esra Ekinci; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Yasanur Kayikci; Sezer, Muruvvet Deniz; Kayikci, Yasanur; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition the forward and reverse flow of materials information human resources and finance occurs among different stakeholders in closing the loop of supply chains. Reverse logistics (RL) activities are gaining importance in terms of size and quantity due to both economic and environmental concerns. These flows in RL in supply chains are both dynamic and complex in nature. Further the environmental impact of RL activities has barely been considered in holistic way in available literature. In this study a system dynamics model has been developed to analyze and comprehend the green performance of RL activities by predicting the environmental impact of RL activities. The proposed model has been validated by a case study in the context of a food supply chain. In the company where the case study is carried out the environmental effects of RL activities have been analyzed. These activities in a food supply chain in terms of CO2 (carbon dioxide) NOx (nitrogen oxide) SO2 (sulfur dioxide) and PM (particulate matter) emissions have been predicted through a system dynamics model for the years 2020 to 2024. The proposed methodology is applied in a food supply context a major player in retail business especially in emerging economies. According to our findings the RL activities in a food supply chain can significantly contribute to green performance management by minimizing food waste and loss, hence the environmental impacts of such activities should be closely examined from a managerial perspective. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 13
Citation - Scopus: 16
REDUCING FOOD WASTE THROUGH LEAN AND SUSTAINABLE OPERATIONS: A CASE STUDY FROM THE POULTRY INDUSTRY
(FUNDACAO GETULIO VARGAS, 2021) Yigit Kazancoglu; Esra Ekinci; Yesim Deniz Ozkan-Ozen; Melisa Ozbiltekin Pala; Pala, Melisa Ozbiltekin; Ekinci, Esra; Ozen, Yesim Deniz Ozkan; Kazancoglu, Yigit
The growing need for solving the problem of food waste for tackling the survival of the planet and humankind is encouraging researchers to seek sustainable operations that alter the conventional methods that are currently in use in the food industry. Lean thinking has been used in this study to propose sustainable operations that incorporate social economic and environmental aspects and to handle the multidisciplinary and complex nature of reducing food waste. The value stream mapping methodology has been employed to explain food waste and generate drivers and to observe the end-to-end system flow. Since most of the waste is observed in upstream operations in emerging economies one of the biggest meat-processing companies in Turkey is studied for illustrating the proposed methodology. As a result of the model lean and sustainable food operations are suggested considering social economic and environmental aspects.
Citation - WoS: 26
Citation - Scopus: 42
Resilience and complexity measurement for energy efficient global supply chains in disruptive events
(ELSEVIER SCIENCE INC, 2022) Esra Ekinci; Sachin Kumar Mangla; Yigit Kazancoglu; P. R. S. Sarma; Muruvvet Deniz Sezer; Melisa Ozbiltekin-Pala; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar; Sarma, P.R.S.
The whole world is faced with the COVID-19 epidemic that causes major disruptions in global supply chains. The aim of study is to evaluate the effects of COVID-19 on energy efficient global supply chains (SCs) and to model the global supply chain resilience and energy management affected during the COVID-19 considering trade between Turkey and China and Turkey and the EU. In this study firstly using System Dynamics (SD) model the behavior of countries against COVID-19 for a certain period of time is observed subsequently the increase in complexity is analyzed with entropy measurement to determine whether the systems are resilient or not and to mark the differences arising from reporting in the first and second wave of the pandemic in the developed model. It is determined that the second wave reporting differences is less than first wave reporting differences except Turkey. From the learning effect perspective it has been seen that the effect on the economy and foreign trade are less than first wave of pandemic even though the number of patients originating in the second wave are higher. It means that countries responded to the second wave of COVID-19 in a more resilient way. It is found that as a major finding of this study perceived complexity of the system decreases in the second wave because of the resilience of supply chain considering learning effect and centralized decision making ensure increasing resilience and resilience measure in global supply chains. The study is highly helpful for governments decision makers and managers to understand and manage the impacts of COVID-19 on global supply chains being resilient and energy efficient.
Citation - WoS: 7
Citation - Scopus: 11
Smart Closed-Loop Food Supply Chain in Circular Economy
(Institute of Electrical and Electronics Engineers Inc., 2024) Yigit Kazancoglu; Esra Ekinci; Sachin Kumar Kumar Mangla; Muruvvet Deniz Sezer; Sonal Choudhary; Manoj Kumar Dora; Choudhary, Sonal; Dora, Manoj; Sezer, Muruvvet Deniz; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
The aim of this study is to propose a triple bottom line (TBL) framework to determine the key metrics of environmental social and economic sustainability and predict the impacts of these metrics on sustainability in circular economy. First TBL working framework has been established to determine the key environmental social and economic sustainability metrics. Then the system dynamics (SD) model is developed to estimate the effects of TBL metrics within a smart closed-loop food chain. The proposed SD model reinforces the idea that each metric supports more than one dimension of sustainability in that food loss can have implications for sustainability dimensions. With the help of the incorporated metrics management can see the supply chain and examine various parts of it such as production distribution the impact of buying decisions etc. The results showed which stages of the food supply chain need attention because of the high value-added product losses and if the company targets are enough to reduce greenhouse gas emissions even though the production volume will increase in the coming years. This article contributes to the literature by determining the key metrics of TBL sustainability in the smart closed-loop supply chain in the food industry. © 2024 Elsevier B.V. All rights reserved.
Tarımda Endüstrı̇ 4.0 uygulaması: Türkı̇ye'de buğday üretı̇mı̇nı̇n ve sürdürülebı̇lı̇rlı̇ğı̇nı̇n artırılması
(2024) Temimhan, Damla; Ekinci, Esra; Kazançoğlu, Yiğit
Bu tez Türk tarım sektörüne yönelik endüstri 4.0 uygulamalarının analizini sunmaktadır. Uygulamalar buğday üretim aşamalarına göre seçilerek anlatıldı. Literatürde endüstri 4.0 uygulamaları anlatılmış olmasına rağmen teknolojilerin tarım sektörü üzerindeki ilişkisini ve etkisini gösteren yeterli çalışma bulunmamaktadır. Ayrıca bu uygulamaların uyarlanması için ilgili ve çözüm odaklı uygulamaların çoğunun karar vericiler tarafından seçilmesi gerekmektedir. Çalışma, Çok Kriterli Karar Yardımının Bulanık TODIM yöntemini kullanarak alternatifleri değerlendirmeyi ve ölçeklendirmeyi amaçlamaktadır. Uzmanlar, TODİM yöntemine göre teknolojilerin önem sıralamasını inceliyor. Bu yöntem uygulanarak sıralama ve uygun uygulamalar sıralanacak ve incelemeler basit bir şekilde yorumlanabilecektir.
Citation - WoS: 121
Citation - Scopus: 148
Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer
(PERGAMON-ELSEVIER SCIENCE LTD, 2021) Sachin Kumar Mangla; Yigit Kazancoglu; Esra Ekinci; Mengqi Liu; Melisa Ozbiltekin; Muruvvet Deniz Sezer; Sezer, Muruvvet Deniz; Ekinci, Esra; Özbiltekin, Melisa; Kazancoglu, Yigit; Liu, Mengqi; Mangla, Sachin Kumar
The integration of blockchain technologies in the food sector has significant social impacts. The objectives of this research are firstly to map the milk supply chains to explore information flow among different members for higher traceability, secondly to investigate the societal impacts of blockchain technology in a milk supply chain to build social sustainability. The systems theory in integration with system dynamics (SD) provides the necessary theoretical underpinning to this research. We collect data from an agricultural development cooperative founded to support dairy farmers in Turkey. This work evaluates the societal impacts of blockchain technology on farmers the community and animals using parameters such as local embedding rural development decreasing food fraud animal health and welfare proximity to food markets food security educating and promoting people towards healthy eating assisting food access and social acceptability for transparency. In the last 18 years the cooperative has encouraged dairy farmers in the district to become partners with a resultant increase in milk production from 30 thousand tons in 2002 to 330 thousand tons in 2019. According to our findings population growth of the country and adult population increases in the district it is expected that by 2025 the number of partners will rise to approximately 2800. The increase in number of partners proves the network expansion. Furthermore blockchain technology can be incorporated into the existing system so that transparent and end-to-end accurate tracking of the supply chain is made possible while creating decentralized recording of transactions. Moreover the critical traceability points of a milk supply chain are evaluated with the blockchain adoption. This will help achieve the sustainable development goals (SDGs) of providing safe food promoting good health and better well-being for everyone.
Citation - WoS: 51
Citation - Scopus: 54
Using system dynamics to assess the environmental management of cement industry in streaming data context
(ELSEVIER, 2020) Esra Ekinci; Yigit Kazancoglu; Sachin Kumar Mangla; Ekinci, Esra; Kazancoglu, Yigit; Mangla, Sachin Kumar
The cement industry can be regarded as one of the major sources of anthropogenic air pollution. It uses a significant amount of energy while creating substantial amount of potentially health-threatening carbon monoxide (CO) sulfur dioxide (SO2) nitrogen oxides (NOx) and dust partides. Hence the cement industry can be regarded as a primary area for study in the development of green manufacturing. In this study an urban cement factory is analyzed. The major contribution of the article is the development of a holistic approach to identify the variables impacting cement production and environmental factors creating air pollution in the area a system dynamics model has been developed incorporating streaming data. To understand the effect of a cement factory on an urban area some strategic level decisions are also analyzed with the study in order to reveal their impact on environment. The impact of cement production on air pollution cannot be evaluated separately from other air quality factors, therefore the contribution of each factor has to be identified in order to understand the specific issues affecting a region. With the use of the model future implications of various air quality factors on environmental sustainability can be assessed. According to the results PM10 value which is currently above the World Health Organization (WHO) air pollution critical level of 50 mu g/m(3) for 30% of the days in a year will dimb to more than 50% in 2023. Moreover governments can also recognize the severe impacts of location selection for cement industries unplanned and excessive building licensing and uncontrolled immigration on environment of an urban living. Therefore output of the study is potentially beneficial in guiding governmental decisions to ensure the sustainability of air quality. (C) 2020 Elsevier B.V. All rights reserved.