Abstract
Geleneksel tarım-gıda tedarik zincirlerinde ürüne değer katmayan birden fazla aşama olup ürünlerin kalitesini ve fiyatını olumsuz yönde etkilemektedir. Ayrıca tarım-gıda ürünlerindeki enflasyon Tüketici Fiyat Endeksini de doğrudan etkilediğinden zincir üzerinde yapılacak iyileştirmelerin nihai tüketiciye katkısı yüksek olacaktır. Bu çalışma kapsamında tarım-gıda tedarik zincirinde değer yaratmayan katmanların olmadığı ve bütünleşik bir yaklaşımla iş birliğine dayalı bir metodoloji geliştirilmiştir. İlk aşamada ilgili paydaşlar sisteme kabulü ve operasyon süreçleri için Analitik Hiyerarşi Süreci (Analytic Hierarchy Process-AHP) yöntemi ile ayrı ayrı değerlendirilmiştir. Daha sonra Ortaklaşa Planlama, Tahmin ve İkmal (Collaborative Planning, Forecasting and Replenishment- CPFR) yaklaşımı çerçevesinde; doğrusal programlama yöntemiyle en uygun tedarik zincirleri belirlenerek kapasite dengelemesi yapılmıştır. Çalışmanın son kısmında ise metodoloji kapsamında kullanılan yöntemlerin doğrulanmasını gerçekleştirmek üzere domates ürünü üzerine bir uygulama AIMMS modelleme paketi üzerinde analiz edilmiş̧, elde edilen bulgular ve sonuçlar verilmiştir.
Keywords
Tarım-Gıda Tedarik Zinciri Tarım-Gıda Değer Zinciri Analitik Hiyerarşi Süreci Ortaklaşa Tahmin Planlama ve İkmal Doğrusal Programlama
References
- Ahumada, O., & Villalobos, J. (2009). Application of Planning Models in the Agri-Food Supply Chain: A Review. European Journal of Operatioanl Research, 1-20.
- Ahumada, O., & Villalobos, J. (2011). Operaitonal Model for Planning the Harvest and Distribution of Perishable Agricultrural Products. International Journal of Production Economics, 677-687.
- Behzadi, G., O'sullivan, M. J., Olsen, T. L., & Zhang, A. (2017). Agribusiness Supply Chain Risk Management: A Review of Quantitetive Decision Models. Omega, 1-22.
- Fang, D. X., & Leung, S. C. (2009). Procurement of Agricultural Products Using the CPFR Approach. Supply Chain management: An International Journal, 253-258.
- Ferreria, J., Batalha, M., & Domingos, J. (2016). Integrated Planning Model for Citrus Agribusiness System Dynamics. Computers and Electronics in Agriculture, 1-11.
- Chen, H., Hsueh, C., & Chang, M. (2009). Production Scheduling and Vehicle Routing with Time Windows for perishable Food Products. Computers Operations Reserach, 2311-2319.
- Chen, J., & Haihong, Y. (2013). Performance Simulation and Optimization of Agricultural Supply Chains. International Conference on Information Science and Cloud Computing, (s. 2311-2319).
- Folinas, D., Aidonis, D., Triantafillou, D., & Malindretos, G. (2013). Exploring the Greening of the Food Supply Chain Eith Lean Thinking Techniques. 6th International Conference Technologies in Agriculture, 416-424.
- Gigler, J., Hendrix, E., Heesen, R., Hazelkamp, V., & Meerdink, G. (2002). On Optimisaition of Agri Chains by Dynamic Programming. European Journal of Operational Research, 613-625.
- 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, 513-520.
- Tsolakis , K. N., Keramydas, A. C., Toka, K. A., Aidonis, A. D., & Iakovou, T. E. (2014). Agrifood Supply Chain Management: A Comphresive Hierarchical Decision Making Framework and Critical Taxonomy. Biosystem Engineering, 47-64.
Abstract
In traditional Agri-Food supply chains, there is more than one stage that does not add value to the product, which negatively affects the quality and price of the products. Since inflation in agri-food products directly affects the Consumer Price Index, improvements in the chain will have a high contribution to the consumer.Within the scope of this study, a collaborative methodology has been developed with an integrated approach and without layers that do not create value in the agri-food supply chain. At the first stage, the relevant stakeholders were evaluated separately for their acceptance into the system and the operation processes with the Analytic Hierarchy Process (AHP) method.Then, within the framework of the Collaborative Planning, Forecasting and Replenishment (CPFR) approach; The most suitable supply chains were determined by linear programming method and capacity balancing was made. Finally, an application on tomato product was analyzed on the AIMMS modeling package in order to verify the methodology, and the obtained findings and results were given.
Keywords
Agri-Food Supply Chain Agri-Food Value Chain Collaborative Planning Forecasting and Replenisment Analytics Hierarchy Process Lineer Programming
References
- Ahumada, O., & Villalobos, J. (2009). Application of Planning Models in the Agri-Food Supply Chain: A Review. European Journal of Operatioanl Research, 1-20.
- Ahumada, O., & Villalobos, J. (2011). Operaitonal Model for Planning the Harvest and Distribution of Perishable Agricultrural Products. International Journal of Production Economics, 677-687.
- Behzadi, G., O'sullivan, M. J., Olsen, T. L., & Zhang, A. (2017). Agribusiness Supply Chain Risk Management: A Review of Quantitetive Decision Models. Omega, 1-22.
- Fang, D. X., & Leung, S. C. (2009). Procurement of Agricultural Products Using the CPFR Approach. Supply Chain management: An International Journal, 253-258.
- Ferreria, J., Batalha, M., & Domingos, J. (2016). Integrated Planning Model for Citrus Agribusiness System Dynamics. Computers and Electronics in Agriculture, 1-11.
- Chen, H., Hsueh, C., & Chang, M. (2009). Production Scheduling and Vehicle Routing with Time Windows for perishable Food Products. Computers Operations Reserach, 2311-2319.
- Chen, J., & Haihong, Y. (2013). Performance Simulation and Optimization of Agricultural Supply Chains. International Conference on Information Science and Cloud Computing, (s. 2311-2319).
- Folinas, D., Aidonis, D., Triantafillou, D., & Malindretos, G. (2013). Exploring the Greening of the Food Supply Chain Eith Lean Thinking Techniques. 6th International Conference Technologies in Agriculture, 416-424.
- Gigler, J., Hendrix, E., Heesen, R., Hazelkamp, V., & Meerdink, G. (2002). On Optimisaition of Agri Chains by Dynamic Programming. European Journal of Operational Research, 613-625.
- 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, 513-520.
- Tsolakis , K. N., Keramydas, A. C., Toka, K. A., Aidonis, A. D., & Iakovou, T. E. (2014). Agrifood Supply Chain Management: A Comphresive Hierarchical Decision Making Framework and Critical Taxonomy. Biosystem Engineering, 47-64.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | June 1, 2022 |
| Submission Date | December 20, 2021 |
| Acceptance Date | May 30, 2022 |
| Published in Issue | Year 2022 Volume: 10 Issue: 1 |