Research Article
BibTex RIS Cite

AGRICULTURAL-FOOD SUPPLY CHAIN DESIGN WITH THE CPFR APPROACH: AN APPLICATION

Year 2022, , 63 - 78, 30.06.2022
https://doi.org/10.17261/Pressacademia.2022.1554

Abstract

Purpose- Agri-food supply chain is an important supply chain for our country in terms of both cost and food safety. In this context, the selection
of suppliers, manufacturers and logistics companies that make up the chain and the relations between them are extremely important, and the
quality of the companies that make up the chain must be high in order to create effective and efficient supply chains. In this study, the author
aimed to conduct a research on the creation of an integrated supply chain with a collaborative approach. The framework of the study is limited
to the producers, suppliers and logistics enterprises, which are the main actors in the agriculture-food value chain.
Methodology- The author proposes an integrated methodology for collaborative work in the agri-food supply chain. Within the framework of the
methodology created within the framework of the CPFR method, the chains that enable the stakeholders included in the system to deliver the
product to the demand points at the most affordable cost were determined by the linear programming model. In the second stage, meeting the
demands created with random numbers was simulated. Finally, the suitability of the model was tested with the data of a company.
Findings- The findings show that the product moves less if the stakeholders in the chain are correctly matched within the framework of the
collaborative approach. In addition, it has been seen that the needs of both demand points are met thanks to the correct match. In addition, a
positive effect has been achieved in the use of the stakeholders' capacities.
Conclusion- This article is one of the first studies that looks at the agri-food supply chain in an integrated way and evaluates the processes within
the framework of a collaborative approach. The study also contributes to improvement in the sector in terms of including the stakeholders involved
in the collaborative process into the system according to the criteria determined.

References

  • Ahumada, O., ve Villalobos, J. (2009). Application of planning models in the agri-food supply chain: a review. European Journal of Operational Research, 1-20.
  • Ahumada, O., & Villalobos, J. (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 677-687
  • Aramyan, L., Vander Vorst, A. O. and Kooten, O. (2007). Performance measurement in agri-food supply chains: a case study. Supply Chain Management: An International (12/4): 304-315.
  • Behzadi, G., O'sullivan, M. J., Olsen, T. L., & Zhang, A. (2017). Agribusiness supply chain risk management: a review of quantitative decision models. Omega, 1-22.
  • Chen, J., & Y. Haihong. (2013). Performance simulation and optimization agricultural supply chains. 2013 International Conference on Information Science and Cloud Computing.
  • Chen, W., Li, J., & Jin, X. (2016). The replenishment policy of agri-products with stochastic demand in integrated agricultural supply chains. Expert System with Applications, 55-66.
  • Fang Du, X., & Leung, S. C. (2009). Procurement of agricultural products using the CPFR approach. Supply Chain Management: An International Journal, 253-258.
  • Ferreira, J., Batalha, M., & Domingos, J. (2016). Integrated planning model for citrus agribusiness system dynamics. Computers and Electronics in Agriculture, 1-11.
  • Folinas, D., Aidonis, D., Triantafillou, D., and Malindretos, G. (2013). Exploring the greening of the food supply chain with lean thinking techniques. 6th international conference on information and communication technologies in agriculture, 416-424.
  • Gigler, J., Hendrix, E., Heesen, R., Hazelkamp, V., & Meerdink, G. (2002). On optimizations of agri chains by dynamic programming. European Journal of Operational Research 139, 613-625.
  • Lamsal, K., Jones, P., & Thomas, B. (2016). harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage. Computers & Industrial Engieneering 91, s. 129-138.
  • Saaty, T. L. 1977. A Scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology.
  • Sanjaya, S., & Perdana, T. (2015). Logistics system model development on supply chain management of tomato commodities for structured market. Procedia Manufacturing, 4, 513-520.
  • Tsolakis, K., Keremydas, A., Toka, K., Aidonis, A., & Iakavou, T. (2014). Agrifood supply chain management: a compressive hierarchical decisionmaking framework and critical taxonomy. Biosystem Engineering, 47-64.
  • Zhong, B., Yang, F., & Chen, Y. (2015). Information empowers vegetable supply chain: a study of information needs and sharing among farmers and vendors. Computers and Electronics in Agriculture, 81-90
Year 2022, , 63 - 78, 30.06.2022
https://doi.org/10.17261/Pressacademia.2022.1554

Abstract

References

  • Ahumada, O., ve Villalobos, J. (2009). Application of planning models in the agri-food supply chain: a review. European Journal of Operational Research, 1-20.
  • Ahumada, O., & Villalobos, J. (2011). Operational model for planning the harvest and distribution of perishable agricultural products. International Journal of Production Economics, 677-687
  • Aramyan, L., Vander Vorst, A. O. and Kooten, O. (2007). Performance measurement in agri-food supply chains: a case study. Supply Chain Management: An International (12/4): 304-315.
  • Behzadi, G., O'sullivan, M. J., Olsen, T. L., & Zhang, A. (2017). Agribusiness supply chain risk management: a review of quantitative decision models. Omega, 1-22.
  • Chen, J., & Y. Haihong. (2013). Performance simulation and optimization agricultural supply chains. 2013 International Conference on Information Science and Cloud Computing.
  • Chen, W., Li, J., & Jin, X. (2016). The replenishment policy of agri-products with stochastic demand in integrated agricultural supply chains. Expert System with Applications, 55-66.
  • Fang Du, X., & Leung, S. C. (2009). Procurement of agricultural products using the CPFR approach. Supply Chain Management: An International Journal, 253-258.
  • Ferreira, J., Batalha, M., & Domingos, J. (2016). Integrated planning model for citrus agribusiness system dynamics. Computers and Electronics in Agriculture, 1-11.
  • Folinas, D., Aidonis, D., Triantafillou, D., and Malindretos, G. (2013). Exploring the greening of the food supply chain with lean thinking techniques. 6th international conference on information and communication technologies in agriculture, 416-424.
  • Gigler, J., Hendrix, E., Heesen, R., Hazelkamp, V., & Meerdink, G. (2002). On optimizations of agri chains by dynamic programming. European Journal of Operational Research 139, 613-625.
  • Lamsal, K., Jones, P., & Thomas, B. (2016). harvest logistics in agricultural systems with multiple, independent producers and no on-farm storage. Computers & Industrial Engieneering 91, s. 129-138.
  • Saaty, T. L. 1977. A Scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology.
  • Sanjaya, S., & Perdana, T. (2015). Logistics system model development on supply chain management of tomato commodities for structured market. Procedia Manufacturing, 4, 513-520.
  • Tsolakis, K., Keremydas, A., Toka, K., Aidonis, A., & Iakavou, T. (2014). Agrifood supply chain management: a compressive hierarchical decisionmaking framework and critical taxonomy. Biosystem Engineering, 47-64.
  • Zhong, B., Yang, F., & Chen, Y. (2015). Information empowers vegetable supply chain: a study of information needs and sharing among farmers and vendors. Computers and Electronics in Agriculture, 81-90
There are 15 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Articles
Authors

Atiye Tumenbatur This is me 0000-0002-5570-0501

Mehmet Tanyas This is me 0000-0001-8934-3787

Emre Cakmak This is me 0000-0002-3406-3144

Publication Date June 30, 2022
Published in Issue Year 2022

Cite

APA Tumenbatur, A., Tanyas, M., & Cakmak, E. (2022). AGRICULTURAL-FOOD SUPPLY CHAIN DESIGN WITH THE CPFR APPROACH: AN APPLICATION. Journal of Management Marketing and Logistics, 9(2), 63-78. https://doi.org/10.17261/Pressacademia.2022.1554

Journal of Management, Marketing and Logistics (JMML) is a scientific, academic, double blind peer-reviewed, quarterly and open-access online journal. The journal publishes four issues a year. The issuing months are March, June, September and December. The publication languages of the Journal are English and Turkish. JMML aims to provide a research source for all practitioners, policy makers, professionals and researchers working in the areas of management, marketing, logistics, supply chain management, international trade. The editor in chief of JMML invites all manuscripts that cover theoretical and/or applied researches on topics related to the interest areas of the Journal. JMML charges no submission or publication fee.


Ethics Policy - JMML applies the standards of Committee on Publication Ethics (COPE). JMML is committed to the academic community ensuring ethics and quality of manuscripts in publications. Plagiarism is strictly forbidden and the manuscripts found to be plagiarized will not be accepted or if published will be removed from the publication. Authors must certify that their manuscripts are their original work. Plagiarism, duplicate, data fabrication and redundant publications are forbidden. The manuscripts are subject to plagiarism check by iThenticate or similar. All manuscript submissions must provide a similarity report (up to 15% excluding quotes, bibliography, abstract, method).


Open Access - All research articles published in PressAcademia Journals are fully open access; immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Open access is a property of individual works, not necessarily journals or publishers. Community standards, rather than copyright law, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now.