Selection of Plant Location for Hemp Fibre Production in TR72 Region
Selection of Plant Location for Hemp Fibre Production in TR72 Region
This study has emerged within the scope of the sectoral studies requested by the Ministry of Industry and Technology of Turkish Republic from the Development Agencies, and aims to select the optimal plant location among the organized industrial zones in the TR72 Region consisting of Kayseri, Sivas and Yozgat provinces in order to produce processed fibre from the raw fibre obtained as a by-product of hemp cultivation. The criteria such as parcel unit price, electricity unit price, service water unit price, waste water unit price, natural gas unit price, insurance premium employer's share support period, investment contribution rate for insurance premium employer’s share support, tax reduction rate, investment contribution rate for tax reduction, interest or profit share support, access to raw material sources, access to market and access to qualified labour supply that form the basis for the selection of plant location were determined and weighted according to the Stepwise Weight Assessment Ratio Analysis (SWARA) method The most available plant location among the emerging alternatives was determined by using Multi-Criteria Decision Making Methods consisting of Combined Comprimise Solution (COCOSO), Complex Proportional Assessment (COPRAS) and Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA). Consequently, it was concluded that Kaleseramik Private Organized Industrial Zone (OIZ) located in Yozgat province is the most available plant location among the other seven alternatives.
___
- Alinezhad A, Khalili J. 2019. New Methods and Applications in Multiple Attribute Decision Making (MADM). USA: Springer. ISBN 978-3-030-15008-2
- Aydoğan M, Terzi YE, Gizlenci Ş, Acar M, Esen A, Meral H. 2020. Economic Feasibility of Industrial Hemp Cultivation in Turkey: A Case Study of Vezirköprü District of Samsun Province. Anadolu Journal of Agricultural Sciences, 35(1): 35–50. https://doi.org/10.7161/omuanajas.602585
- Başer U, Bozoğlu M. 2020. Türkiye’nin Kenevir Politikası ve Piyasasına Bir Bakış. Tarım Ekonomisi Araştırmaları Dergisi, 6(2): 127–135.
- Belke M. 2020. CRITIC ve MAIRCA Yöntemleriyle G7 Ülkelerinin Makroekonomik Performansının Değerlendirilmesi. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, 19(Temmuz 2020(Özel Ek)): 120–139.
- Bismarck A, Mishra S, Lampke T. 2005. Natural Fibers, Biopolymers, and Biocomposites. In: Mohanty A, Misra M, Drzal L (editors). Plant Fibers as Reinforcement for Green Composites. USA: Taylor & Francis Group. pp. 37–108. ISBN: 978-1-135-49897-9
- Demir G. 2021. Evaluation of Financial Performance of Central and Eastern European Countries with Fuzzy DEMATEL and COCOSO Methods. XXI. International Symposium on Econometrics, Operational Research and Statistics. Çanakkale, 8-10 September 2021, Holistence Publications, pp. 226.
- Demir G, Kartal M. 2020. Güncel Çok Kriterli Karar Verme Teknikleri (1st ed., Vol. 1). Ankara: Akademisyen Kitabevi. ISBN: 978-605-258-936-6
- Demir G, Özyalçın A T, Bircan H. 2021. Çok Kriterli Karar Verme Yöntemleri ve ÇKKV Yazılımı ile Problem Çözümü. Ankara: Nobel Yayınevi. ISBN: 978-6-254-39390-7
- FAO, 2022. Food and Agriculture Organization of the United Nations. FAOSTAT. Available from: https://www.fao.org/faostat/en. [Accessed January 2022]
- Gizlenci Ş, Acar M, Yiğen Ç, Aytaç S. 2019. Kenevir Tarımı . T.C. Tarım ve Orman Bakanlığı Tarımsal Araştırmalar ve Politikalar Genel Müdürlüğü Karadeniz Tarımsal Araştırma Enstitüsü Müdürlüğü. https://arastirma.tarimorman.gov.tr/ ktae/belgeler/kenevir_tarimi_kitabi.pdf Law on Control of Narcotic Substances, 2313. 1933.
- Mohamed Zakriya G, Ramakrishnan G. 2021. Natural Fibre Composites—Manufacturing, Characterization, and Testing. USA: Taylor & Francis Group. ISBN: 978-0-367-34589-1
- Musio S, Müssig J and Amaducci S. 2018. Optimizing Hemp Fiber Production for High Performance Composite Applications. Front. Plant Sci. 9:1702. doi: 10.3389/fpls.2018.01702
- Needles HL.1986. Textile Fibers, Dyes, Finishes and Processes— A Concise Guide. USA: Nayes Publications. ISBN: 0-8155- 1076-4
- Pamucar D, Lukovac V, Božanić D, Komazec N. 2018. Multicriteria FUCOM-MAIRCA model for the evaluation of level crossings: Case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1): 108–129. doi:10.31181/oresta190120101108p
- Regulation on Cannabis Cultivation and Control. 2019 Salabun W, Watrobski J, Shekhovtsov A. 2020. Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods. Symmetry, 12(9): 1–55. https://doi.org/10.3390/sym12091549
- Stanujkic D, Karabasevic D, Zavadskas EK. 2015. A framework for the Selection of a packaging design based on the SWARA method. The Engineering Economics, 26(2): 181–187. https://doi.org/10.13140/RG.2.1.1350.9603
- Taşlıgil N, Şahin G. 2019. Developments and Restoration Of Hemp (Cannabis Sativa L.) Cultivation in Turkish Agriculture. In: Gönençgil B, Ertek TA, Akova İ, Elbaşı E (editors). 1st İstanbul International Geography Congress. İstanbul, 20-22 June 2019
- TİGEM, 2019. Kenevir üretim çalışmalarına ilişkin kamuoyuna bilgilendirme. https://www.tigem.gov.tr/haber/haberdetay/9079d190-1793- 44ec-958b-77d150b82094 Erişim: 16.09.2020. İstanbul University Press: pp. 457–478. TÜİK, 2022. Turkish Statistical Institute. Available from: www.tuik.gov.tr [Accessed January 2022]
- TÜİK, 2022. Turkish Statistical Institute. Available from: www.tuik.gov.tr [Accessed January 2022]
- Yazdani M, Zaraté P, Zavadskas EK, Turskis Z. 2018. A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9): 2501-2519. https://doi.org/10.1108/MD-05- 2017-0458
- Yozgat İli Kenevir Elyafı Üretim Tesisi Ön Fizibilite Raporu. 2021. [Ön Fizibilite Raporu]. ORAN Kalkınma Ajansı.
- Zavadskas EK, Kaklauskas A, Peldschus F, Turskis Z. 2007. Multi-Attribute Assesment of Road Design Solutions By Using The COPRAS Method. The Baltic Journal of Road and Bridge Engineering, 2(4): 195–203.