Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11290

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Now showing 1 - 20 of 272

Citation - Scopus: 15
A Conceptual Framework for Food Loss and Waste in Agri-Food Supply Chains: Circular Economy Perspective
(Springer, 2021) Yasanur Kayikci; Nazlican Gozacan; Çisem Lafci; Yigit Kazancoglu; Kayıkcı, Yaşanur; Gözaçan, Nazlıcan; Lafcı, Çisem; Kazançoğlu, Yiğit
The importance given to Circular Economy (CE) has further increased in the Agri-Food Supply Chain (AFSC) to combat the challenges of food loss and waste which could be caused by various reasons such as poor stock management economic behavior and also the occurrence of COVID-19 outbreak. The transition from linear to circularity can also enable competitive sustainability from farm to fork in AFSC which consists of different stages: farmers food processors food distributors food retailers consumers. Food loss mainly occurs in AFSC at near-farm stages (i.e. harvesting processing) while food waste happens in AFSC at near-fork stages (i.e. retail post-consumption). Thus 6Rs (remanufacture redesign reduce recycle reuse and recover) of CE principles can offer various benefits to close the loop of the wastages along with the AFSC. In this chapter a conceptual framework for circularity in the AFSC is proposed considering the 6Rs. Furthermore this framework also supports the Sustainable Development Goals. The applicability of the proposed framework is examined and discussed in the case of Turkey using SWOT Analysis. Key findings indicate that there is confusion about food loss and waste issues in Turkey. In addition the solutions and developments for FLW problem are generally focused on food waste. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 8
Citation - Scopus: 9
A differential evolution algorithm with a variable neighborhood search for constrained function optimization
(Springer Verlag service@springer.de, 2015) M. Fatih Tasgetiren; Ponnuthurai Nagaratnam Suganthan; Sel Ozcan; Damla Kizilay; Tasgetiren, M. Fatih; Suganthan, P.N.; Kizilay, Damla; Ozcan, Sel
In this paper a differential evolution algorithm based on a variable neighborhood search algorithm (DE_VNS) is proposed in order to solve the constrained real-parameter optimization problems. The performance of DE algorithm depends on the mutation strategies crossover operators and control parameters. As a result a DE_VNS algorithm that can employ multiple mutation operators in its VNS loops is proposed in order to further enhance the solution quality. We also present an idea of injecting some good dimensional values to the trial individual through the injection procedure. In addition we also present a diversification procedure that is based on the inversion of the target individuals and injection of some good dimensional values from promising areas in the population by tournament selection. The computational results show that the simple DE_VNS algorithm was very competitive to some of the best performing algorithms from the literature. © 2015 Elsevier B.V. All rights reserved.
A Just Co-City
(TU Delft, 2025) Eylem Keskin; Suheda Kose; Zeynep Özge Yalçın; Aysu Gürman; Ece Buldan; Keskin, Eylem; Köse, Süheda; Yalçın, Zeynep Özge; Buldan, Ece; Gürman, Aysu
[No abstract available]
A Variable Block Insertion Heuristic for the Energy-Efficient Permutation Flowshop Scheduling with Makespan Criterion
(Springer Science and Business Media Deutschland GmbH, 2021) M. Fatih Tasgetiren; Hande Oztop; Quanke Pan; Mustafa Arslan Ornek; Talya Temizceri; Tasgetiren, M. Fatih; Temizceri, Talya; Oztop, Hande; Pan, Quan-Ke; Ornek, M. Arslan
Permutation flow shop scheduling problem is a well-known problem in the scheduling literature. Even though various multi-objective permutation flowshop scheduling problems have been studied in the literature energy consumption consideration in scheduling is still very seldom. In this paper we consider a bi-objective permutation flowshop scheduling problem with the objectives of minimizing the total energy consumption and the makespan. We present a bi-objective mixed integer programming model for the problem applying a speed-scaling approach. Then we employ the augmented ε -constraint method to generate the Pareto-optimal solution sets for small-sized instances. For larger instances we use the augmented ε -constraint method with a time limit on CPLEX solver to approximate the Pareto frontiers. We also propose a heuristic approach which employs a very recent variable block insertion heuristic algorithm. In order to evaluate performance of the proposed algorithm we have carried out detailed computational experiments using well-known benchmarks from the literature. First we present the performance of the proposed algorithm on small-sized problems, then we show that the proposed algorithm is very effective to solve larger problems as compared with the time-limited CPLEX. © 2020 Elsevier B.V. All rights reserved.
Account portfolio management: Optimizing the customer portfolio of the firm
(wiley, 2015) Osman Gök; Gök, Osman
The account portfolio management (APM) process deals with grouping customers and developing meaningful strategies for each group incorporated into resource allocation decisions to meet marketing objectives. Portfolio techniques offer a convenient and comprehensible framework for strategic decision-making. This paper presents a comprehensive guide to developing customer portfolios using variables identified in previous studies. The paper also illustrates implications for marketing strategies and future resource allocation for the strategic account portfolio. A portfolio approach may reveal necessary actions for important relationships and may streamline the decision-making process for suppliers' account portfolios. Each customer relationship requires different types and degrees of investment and produces different outcomes (Cannon and Perreault 1999). Hence the paper emphasizes customer heterogeneity in the business-to-business (B2B) marketing context and arrives at sound evaluations of individual customers. © 2023 Elsevier B.V. All rights reserved.
AD–AS model
(Edward Elgar Publishing Ltd., 2009) Anil Aba; Aba, Anil
[No abstract available]
Citation - Scopus: 4
Adaptive Reuse of Existing Buildings
(Springer Science and Business Media Deutschland GmbH, 2025) Maria Beatrice Andreucci; Selin Karagözler; Andreucci, Maria Beatrice; Karagözler, Selin
Amid the introduction of the United Nations’ Sustainable Development Goals the longevity and lifecycle of heritage and modern buildings and the process of redevelopment have come under greater scrutiny. Through adaptive reuse i.e. changes that involve both a functional and a physical component practitioners can give a second life to existing buildings. To define the state of the art in the scientific research focused on building adaptive reuse the authors conducted a rapid evidence assessment. It emerged that adaptive reuse is comprehensive topic that deals with social economic and environmental issues. The goal of the adaptive reuse studies varies from social to environmental topics such as human-centred adaptive reuse and energy efficient adaptive reuse. A comprehensive approach to adaptive reuse requires integrated strategies aimed at preserving valuable pre-existing human artifacts in the Anthropocene era characterized by unsustainable consumption and transience of data and images. Adaptive reuse combines pragmatism and creativity and requires sensitivity in the selective approach on existing structures contexts and materials. Adaptive reuse projects call for specific skills and targeted strategies that falls into different action categories: reuse restoration and renewal i.e. innovative transformations of the “old and degraded” into “new and performative”. Overall adaptive reuse optimizes environmental sustainability efficient regeneration processes increased community interest and profitability making it an attractive opportunity for stakeholders seeking to revitalize urban and peri urban areas. Adaptive reuse projects deliver workable solutions support heritage and cultural preservation while meeting the changing needs of communities. © 2024 Elsevier B.V. All rights reserved.
Citation - Scopus: 2
Additive manufacturing and its impact on pharmaceutical supply chains
(Elsevier, 2024) Wenqi Li; Banu Yetkin Yetkin Ekren; Emel Aktas; Li, Wenqi; Aktas, Emel; Ekren, Banu Y.
Additive manufacturing (AM) also known as 3D printing has the potential to improve the performance of the pharmaceutical supply chain (PSC). By using 3D printing for manufacturing drugs pharmaceutical companies can reduce waste by using only the required number of raw materials and eliminating excess inventory. This chapter will provide a systematic literature review of the state of the art of AM in PSC and develop a conceptual framework to explain their interconnections. It was found that 3D printing impacts the SC in three main ways: reducing complexity moving manufacturing facilities closer to the end user and shifting production from make-to-stock to make-to-order. These changes influence the inventory level which in turn affects SC sustainability efficiency responsiveness and resilience. This study provides a conceptual framework that illustrates the interrelationships between various variables in the medical SC impacted by 3D printing technology. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 8
Advances in Model-Based Testing of Graphical User Interfaces
(Academic Press Inc. apjcs@harcourt.com, 2017) Fevzi Belli; Mutlu Beyazit; Christof J. Budnik; Tugkan Tuglular; Budnik, Christof J.; Belli, Fevzi; Beyazıt, Mutlu; Tuglular, Tugkan
Graphical user interfaces (GUIs) enable comfortable interactions of the computer-based systems with their environment. Large systems usually require complex GUIs which are commonly fault prone and thus are to be carefully designed implemented and tested. As a thorough testing is not feasible techniques are favored to test relevant features of the system under test that will be specifically modeled. This chapter summarizes reviews and exemplifies conventional and novel techniques for model-based GUI testing. © 2017 Elsevier B.V. All rights reserved.
The Alien Series: An Ideological Analysis within the Framework of Postcolonial Theory
(IGI Global, 2024) Gülpinar, Dilara Balci
Alternative measures of currency and asset substitution: The case of Turkey
(Anthem Press, 2010) Ayşe Özden Birkan; Birkan, A. Özden
Like many developing countries that liberalized their capital account Turkey has been at the mercy of short term capital inflows accompanied by a continuous real appreciation of the domestic currency since 1989. Open foreign exchange positions and increasing foreign exchange related assets in residents’ portfolios have been the inevitable side affect. The recent inflation targeting policy is claimed to have reversed this trend. However the currency substitution measure developed in this study suggests an alternative interpretation of the situation. Although the share of TL denominated assets in total monetary assets has been increasing relative to the share of foreign currency related assets the liquidity services of TL denominated assets is in fact not increasing. In this study distinct measures of asset substitution and currency substitution as opposed to the generic FCD/M2Y are developed and the different degrees of liquidity provided by alternative monetary assets are distinctly measured. These AS and CS measures follow the conventional intuition as to their driving factors and suggest the existence of hysteresis in currency substitution in Turkey. From a policy standpoint this provides evidence that targeting and decreasing the inflation rate alone may not be sufficient to overcome the structural problems of the economy that have been in the making for decades. © 2015 Elsevier B.V. All rights reserved.
Alternative work arrangements in organizations: Key dimensions and future directions
(Peter Lang AG, 2019) Ozge Can; Can, Özge
[No abstract available]
Citation - Scopus: 2
An (s S) inventory optimization problem: A case study for a hospital
(IGI Global, 2019) Gizem Sağol; Gorkem Sariyer; Banu Yetkin Yetkin Ekren; Mustafa Gökalp Ataman; Ataman, Mustafa Gökalp; Sariyer, Görkem; Sağol, Gizem; Ekren, Banu Yetkin
Inventory management is one essential lever to use the resources efficiently. However managing inventories in hospitals is a challenging task because of the several issues: a high service level of medical supplies is required under the unpredictable demand medical products constitute a significant portion of the overall costs and the management of these supplies requires considerable effort to check the levels to track usage and to distribute them. Therefore it is pertinence to apply operations research tools to cope with the managerial issues of the hospital inventory system. In this chapter the authors implement an (s S) inventory model by using simulation in a case study of a hospital in Izmir Turkey. They aim to analyze the unpredictable nature of demand of medical supplies in this hospital and its implications on the developed inventory policy. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 15
An Analysis of Corporate Social Responsibility in the Turkish Business Context
(Springer Nature, 2015) Duygu Türker; Turker, Duygu
Depending on the increasing social and environmental problems corporate social responsibility (CSR) has been promoted by both national and international bodies to achieve the principles of sustainable development at the organizational level. Since the concept has provided a significant framework for the relations between business and society this corporate response can be particularly crucial for the problems in the developing country context. Therefore it is important to understand how CSR is adopted and practiced by the organizations in such countries to improve the overall quality and quantity of CSR involvement. The purpose of current study is to analyse the evolution of CSR conception in Turkey as a developing country. Considering its unique position between East and West Turkey provides a different political economic social and cultural context for CSR conception than other European counties. The concept has built on the philanthropic heritage of Ottoman period and then evolved in line with the dependency relationship between business and state during the Republican period. Despite the increasing attention of organizations towards CSR during the last decade it seems that the institutional environment continues to affect the nature and structure of CSR involvement in Turkey. © 2022 Elsevier B.V. All rights reserved.
An efficient plugin for representing heterogeneous translucent materials
(Peter Lang Publishing Group, 2019) Sermet Önel; Murat Kurt; Aydin Öztürk; Kurt, Murat; Önel, Sermet; Öztürk, Aydın
This paper presents a plugin that adds an efficient representation of heterogeneous translucent materials to the Blender 3D modeling tool. Algorithm of the plugin is based on Singular Value Decomposition (SVD) method and Mitsuba renderer is the default rendering software used by the proposed plugin. We validate the efficiency of the proposed plugin by using a set of measured heterogeneous subsurface scattering data sets. © 2020 Elsevier B.V. All rights reserved.
An evaluation of measuring the publicness level of interiors in public building design: Visual Graph Analysis (VGA) approach
(IGI Global, 2021) Pelin Aykutlar; Seckin Kutucu; Işın Can-Traunmüller; Can-Traunmüller, Işin; Kutucu, Seçkin; Aykutlar, Pelin
This study examines the publicness level of the interior spaces of public buildings. As a method VGA (visual graph analysis) is used for analyzing the early design phases of selected municipal service buildings. In this study the authors utilized from VGA for quantifying the publicness level of the two selected architectural competitions of municipality buildings. The method allows us analyzing the floor plans of each project in obtaining an eventual assessment of permeability and accessibility which give an idea of the levels of publicness comparatively. Subsequently representation parameters are compared under two main criteria: connectivity and integration. The aim of the study is to understand the level of publicness and efficiency of spatial settings for the users circulating in the public buildings which have dissimilar plan schemes. This method would be used by the designers for early design stage and provide useful feedback for understanding the level of accessibility and permeability of the structures and adjust their schemes accordingly. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 7
An overview of international fintech instruments using innovation diffusion theory adoption strategies
(IGI Global, 2020) Ebru E. Saygılı; Tuncay Ercan; Ercan, Tuncay; Saygili, Ebru
The aim of this chapter is to evaluate and predict the future of international fintech instruments in the domain of innovation diffusion theory (IDT) adoption strategies. Further the consequences of the new payments system directive (PSD2) in Europe and blockchain applications are discussed. For instance money transfer and payments have the highest rate of adoption (ROA) while insurance services have the highest speed of growing ROA due to relative advantages high compatibility and trialability levels and low level of complexity and uncertainty. Cross country comparisons include descriptive statistics about fintech deal value and volume innovation rank B2C commerce market ROA and internet penetration. Germany is the only country listed in all of the top 10 ranking lists followed by the U.S. the U.K. and France. Also China India and Canada have distinguished success in terms of fintech indicators while the growth in Japan is expected to be slow. Accordingly ROA in five emerging markets is much higher than some of the developed countries which can be explained by the Cancian Theory. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Analytical design models in construction engineering: artificial neural network and gene expression programming practices
(Elsevier, 2025) Ayşegül Erdoğan; Süleyman İpek; Kasım Mermerdaş; Esra Mete Güneyisi; Erhan Güneyisi; Erdoğan, Ayşegül; İpek, Süleyman; Mermerdaş, Kasım; Güneyisi, Esra Mete
One important aspect of experimental studies is to supply valuable raw data for the literature. However data at the base of the DIKW (data-information-knowledge-wisdom) pyramid lacks significance unless it has been condensed organized categorized structured and evaluated. In this way the data will be transformed into information. Then processing the information will enable progression to the knowledge stage of the DIKW pyramid and applying this knowledge in action will help to reach the wisdom stage. In this context it is crucial to transform the pure data obtained from the experimental studies into wisdom. Construction engineering a crucial and evolving field of civil engineering advances through experimental research and practical outcomes. Therefore it can be concluded that the core principles of construction engineering are founded on correctly and wisely expressing findings from experimental and practical research. In recent years there have been numerous efforts to gather data from both experimental and practical studies and apply soft-computing techniques to extract valuable insights. In this respect the paper presents empirical design models developed using artificial neural networks (ANNs) and gene expression programming (GEP) noteworthy soft computing methods to solve some engineering problems in the construction field. This chapter aims to explain the significance of evaluating data and transforming it into a clear analytical design model. Following that it examines both soft-computing methods in great detail. Ultimately analytical design models developed to solve construction engineering problems are presented. © 2025 Elsevier B.V. All rights reserved.
Antecedents of transnational entrepreneurial behaviour: Evidence from Turkish-German firms
(Taylor and Francis, 2016) Gönenç Dalgiç; Andreas Kuckertz; Cagri Kaderoglu Bulut; Dalgiç, Gönenç; Bulut, Çağri; Kuckertz, Andreas
[No abstract available]
Citation - Scopus: 7
Applying fuzzy logic to the assessment of latent economic features
(River Publishers, 2023) A. G. Yankovyi; Oksana Valentynivna Tsimoshynska; Viktor Koval; Yigit Kazancoglu; V. Kotlubai; Liliya M. Filipishyna; Koval, Viktor; Yankovyi, Oleksandr; Kotlubai, Viacheslav; Tsimoshynska, Oksana; Kazancoglu, Yigit; Filipishyna, Liliya
The impossibility of direct measurement of some economic features in the metric scale prompted researchers to use specific mathematical and statistical apparatus in their evaluation in particular the combination of expert scores with models and methods of fuzzy logic. Such latent features at the micro-level include financial condition competitiveness investment attractiveness the global criterion of optimality priority of the company's investment projects etc. The concepts and essence of latent economic signs are discussed their definition and connection with scales of measurement of indicators of commodity producers are given and also the four-level hierarchical model of latent sign "competitiveness" of the company is investigated. The methods of estimation of latent economic signs existing in modern science are considered and their classification is offered. In the example of the sign of "competitiveness" of the company methods of estimating latent indicators based on a combination of expert opinions and algorithms of fuzzy sets and fuzzy logic are considered. The method of determining the weights of the symptom factors of the desired latent economic indicator based on their pairwise comparison is discussed (Saaty process). © 2023 Elsevier B.V. All rights reserved.

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