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    A Conceptual Framework for Food Loss and Waste in Agri-Food Supply Chains: Circular Economy Perspective
    (Springer, 2021) 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, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Minimizing losses at red meat supply chain with circular and central slaughterhouse model
    (Emerald Group Publishing Ltd, 2020) Kayıkcı, Yaşanur; Özbiltekin, Melisa; Kazançoğlu, Yiğit
    Purpose - The purpose of this paper is to find solutions to improve the red meat sector in an emerging economy, Turkey, from the circular economy point of view, and taking sustainability approach. The need for circular management within the red meat sector in Turkey is emphasized by using Grey method. As theoretical contribution of this study, the investigation of the causes of losses at the slaughter stages of the red meat supply chain leads to proposals for sustainable and circular solutions. Design/methodology/approach - Grey method is used to predict the number of slaughtered cattle and the amount of bone and blood waste in the slaughtering process between 2018 and 2020. Findings - It is revealed that according to Grey prediction calculations, although the amount of slaughtered cattle, bone and blood waste seem have decreased between 2018 and 2020, there are still significant losses in Turkish red meat sector. For bone waste, this is expected to be 56,581,200 kg in 2018, 48,235,840 kg in 2019 and 41,121,380 kg in 2020. For blood waste, it is expected to be 24,754,275 kg in 2018, 21,103,180 kg in 2019 and 17,990,604 kg in 2020. Social implications - The proposed model in the study will contribute on sector revitalization, increase in product safety, quality and hygiene, development in the management of training and education centers for farmers/labors and increase in employment. Originality/value - This paper represents policymakers with a proposal for triple bottom line (TBL) based circular and central slaughterhouse model, based on TBL, which brings social, economic and environmental benefits for the red meat sector in Turkey.
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    Operational excellence in a green supply chain for environmental management: a case study
    (Wiley, 2020) Kazançoğlu, Yiğit; Sağnak, Muhittin; Kayıkcı, Yaşanur; Mangla, Sachin Kumar
    Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco-packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.
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    Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics
    (Wiley, 2020) Kazançoğlu, Yiğit; Ekinci, Esra; Mangla, Sachin Kumar; Sezer, Mürüvvet Deniz; Kayıkcı, Yaşanur
    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.