Minimizing losses at red meat supply chain with circular and central slaughterhouse model

dc.contributor.author Yasanur Kayikci
dc.contributor.author Melisa Ozbiltekin
dc.contributor.author Yigit Kazancoglu
dc.contributor.author Ozbiltekin, Melisa
dc.contributor.author Kayikci, Yasanur
dc.contributor.author Kazancoglu, Yigit
dc.date.accessioned 2025-10-06T16:20:50Z
dc.date.issued 2020
dc.description.abstract 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 56581200 kg in 2018 48235840 kg in 2019 and 41121380 kg in 2020. For blood waste it is expected to be 24754275 kg in 2018 21103180 kg in 2019 and 17990604 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.
dc.identifier.doi 10.1108/JEIM-01-2019-0025
dc.identifier.issn 1741-0398
dc.identifier.issn 1758-7409
dc.identifier.scopus 2-s2.0-85075156154
dc.identifier.uri http://dx.doi.org/10.1108/JEIM-01-2019-0025
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6577
dc.identifier.uri https://doi.org/10.1108/JEIM-01-2019-0025
dc.language.iso English
dc.publisher EMERALD GROUP PUBLISHING LTD
dc.relation.ispartof Journal of Enterprise Information Management
dc.rights info:eu-repo/semantics/closedAccess
dc.source JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
dc.subject Sustainability, Circular economy, Food supply chain, Emerging country, Grey prediction, Red meat loss
dc.subject GREY FORECASTING-MODEL, LIFE-CYCLE ASSESSMENT, FOOD WASTE, SUSTAINABILITY PRACTICES, MANAGEMENT, SAFETY, CHALLENGES, EMISSIONS, PRODUCTS, INDUSTRY
dc.subject Red Meat Loss
dc.subject Grey Prediction
dc.subject Emerging Country
dc.subject Food Supply Chain
dc.subject Sustainability
dc.subject Circular Economy
dc.title Minimizing losses at red meat supply chain with circular and central slaughterhouse model
dc.type Article
dspace.entity.type Publication
gdc.author.id Ozbiltekin-Pala, Melisa/0000-0002-1356-3203
gdc.author.id Kazancoglu, Yigit/0000-0001-9199-671X
gdc.author.id Kayikci, Yaşanur/0000-0003-2406-3164
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gdc.author.wosid Kayikci, Yaşanur/D-3681-2014
gdc.author.wosid Kazancoglu, Yigit/E-7705-2015
gdc.author.wosid Ozbiltekin-Pala, Melisa/AAA-2580-2019
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gdc.description.department
gdc.description.departmenttemp [Kayikci, Yasanur] Turkish German Univ, Dept Ind Engn, Istanbul, Turkey; [Ozbiltekin, Melisa; Kazancoglu, Yigit] Yasar Univ, Dept Int Logist Management, Izmir, Turkey
gdc.description.endpage 816
gdc.description.issue 4
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 791
gdc.description.volume 33
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gdc.virtual.author Kazançoğlu, Yiğit
gdc.virtual.author Özbiltekin, Melisa
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person.identifier.orcid Kazancoglu- Yigit/0000-0001-9199-671X, Ozbiltekin-Pala- Melisa/0000-0002-1356-3203, Kayikci- Yasanur/0000-0003-2406-3164
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