Browsing by Author "Turan, Cansu"

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Citation - WoS: 36
Citation - Scopus: 38
A conceptual framework model for an effective cold food chain management in sustainability environment
(Emerald Publishing, 2022) Cansu Turan; Yucel Yilmaz Ozturkoglu; Turan, Cansu; Ozturkoglu, Yucel
Purpose: There is a large number of perishable foodstuffs produced stored distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage it not only becomes risky for human health but also generates huge food waste for the environment and negative economic impact for food providers. Therefore this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers food providers and logistics parties for sustainable cold chain management. Design/methodology/approach: Considering tangible and intangible potential criteria the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next the importance order of each criterion and the causal relationships between them are determined. In this study this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors additionally to determine importance order. Finally suggestions for administrative implications are presented. Findings: Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1 C3 C8 C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally top three most important factors are traceability (C7) staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations suggestions for managerial implementations are presented. Practical implications: The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order. Originality/value: To the best of the authors’ knowledge this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 9
Citation - Scopus: 16
Investigating the performance of the sustainable cold supply chain in the pharmaceutical industry
(Emerald Group Holdings Ltd., 2022) Cansu Turan; Yucel Yilmaz Ozturkoglu; Turan, Cansu; Ozturkoglu, Yucel
Purpose: This study focuses on identifying potential challengers affecting cold chain performance in the pharmaceutical industry. Considering the history of humanity every pandemic experienced could only be controlled with the vaccine found. While the world is fighting the unforgettable epidemic called COVID-19 scientists are also working to find the therapeutic vaccine. The vaccines studied have different temperature storage and transport properties. In the pharmaceutical industry it is necessary to know and analyse every step of the cold supply chain to provide the most appropriate and safe cooling level. In addition it is important to understand the relationship between all the facilities equipment tools and materials needed to avoid mistakes along the chain. Design/methodology/approach: Hence this study focuses on identifying potential challengers affecting sustainable cold supply chain performance in the pharmaceutical industry and proposing a conceptual framework that involves these main challengers. In this study firstly different main and sub-factors are defined from the literature and fuzzy Decision Making Trial and Evaluation Laboratory method is applied to analyse the causal link between these factors for an effective application. Findings: Results showed that packaging transportation and shipping storage specifications and handling practices inventory management technical issues and delivery delay are the most affected factors during the sustainable cold supply chain performance in the pharmaceutical industry. This study offers both managerial implications and a roadmap that are designed with a holistic view to guide manufacturer logistics parties and even policymakers. Originality/value: Some of the studies related to the pharmaceutical industry are monitoring and controlling the temperature in the cold supply chain steps, the other part is the studies where the chain steps are examined with a focus on production or transportation. While these issues are the focus the requirements and conditions of each stage of the supply chain must be studied for a safe effective and sustainable cold chain beyond the current global pandemic crisis. To the best of the authors’ knowledge this is the first study that highlights identifying the potential challengers that affect cold supply chain performance for the pharmaceutical industry both theoretically and empirically solving the causal relationships among these challengers and designing a holistic framework. © 2022 Elsevier B.V. All rights reserved.