Review
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Year 2023, Volume: 5 Issue: 2, 27 - 41, 30.05.2023

Abstract

References

  • Accorsi, R., Gallo, A., Manzini, R. (2017). A climate driven decision- A climate driven decision-support model for the distribution of perishable p support model for the distribution of perishable products. Cleaner Product, 165, 917-929. https://doi.org/10.1016/j.jclepro.2017.07.170
  • Ahumada, O., Villalobos, J.R., Mason, A.N. (2012). Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems, 112, 17-26. https://doi.org/10.1016/j.agsy.2012.06.002
  • Albrecht, W., Steinrücke, M. (2017). Coordinating continuous-time distribution and sales planning of perishable goods with quality grades. International Journal of Production Research, 56(7), 2646-2665. https://doi.org/10.1080/00207543.2017.1384584
  • Alkaabneh, F., Diabat, A., Gao, H.O. (2020). Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs. Computers and Operations Research, 113, 104751. https://doi.org/10.1016/j.cor.2019.07.009
  • Amorim, P., Günther, H.O., Lobo, B.A. (2012). Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics, 138(1), 89-101. https://doi.org/10.1016/j.ijpe.2012.03.005
  • Amorim, P., Meyr, H., Almeder, C., Lobo, B.A. (2013). Managing perishability in production-distribution planning: a discussion and review. Flexible Services and Manufacturing Journal, 25, 389-413. https://doi.org/10.1007/s10696-011-9122-3
  • Anitha, P., Patil, M.M. (2018). A review on data analytics for supply chain management: A case study. International Journal of Information Engineering and Electronic Business, 5, 30-39. DOI: 10.5815/ijieeb.2018.05.05
  • AriaNezhad, M.G., Makuie, A., Khayatmoghadam, S. (2013). Developing and solving two-echelon inventory system for perishable items in a supply chain: case study. Journal of Industrial Engineering Int., 39, 1-10. https://doi.org/10.1186/2251-712X-9-39
  • Azadeh, A., Elahi, S., Hosseinabadi Farahani, M., Nasirian, B. (2017). A genetic algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Computers and Industrial Engineering, 104, 124-133. https://doi.org/10.1016/j.cie.2016.12.019
  • Basset, M.A., Manograna, G. Mohamed, M. (2018). Internet of things and its impact on supply chain: A framework for building smart. secure and efficient systems. Future Generation Computer Systems, 86, 614-628. https://doi.org/10.1016/j.future.2018.04.051
  • Behzadi, G., Sullivan, M.J., Olsen, T.L., Zhang, A. (2017). Agribusiness supply chain risk management: A review of quantitative decision models. Omega, 79, 21-42. https://doi.org/10.1016/j.omega.2017.07.005
  • Biuki, M., Kazami, A., Alineshad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260(120842), 1-14. https://doi.org/10.1016/j.jclepro.2020.120842
  • Castro, J. A. O., Coronado, L. A. S., Lozano, A. M. P. (2017). Coupling facility location models in the supply chain of perishable fruits. Research in Transportation Business & Management, 24, 73-80. https://doi.org/10.1016/j.rtbm.2017.08.002
  • Chao, C., Zhihui, T., Baozhen, Y. (2019). Optimization of two-stage location-routing-inventory problem with time-windows in food distribution network. Annals of Operations Research, 273, 111-134. https://doi.org/10.1007/s10479-017-2514-3
  • Dai, Z., Aqlan, F., Zheng, X, Gao, K. (2018). A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints. Computers & Industrial Engineering, 119, 338-352. https://doi.org/10.1016/j.cie.2018.04.007
  • Demirtaş, N., Tuzkaya, U.R. (2012). Strategic planning of layout of the distribution center: an approach for fruits and vegetables hall. Procedia - Social and Behavioral Sciences, 58, 159-168. https://doi.org/10.1016/j.sbspro.2012.09.989
  • Diatha, K.S., Karumanchi, R., Garg, S. (2012). Mobile enabled operations management using multi-objective based logistics planning for perishable products. Computers and Industrial Engineering, 1-15.
  • Drezner, Z., Scott, C.H. (2013). Location of a distribution center for a perishable product. Mathematical Methods of Operations Research, 78, 301-314. https://doi.org/10.1007/s00186-013-0445-6
  • Dutta, P., Shrivastava, H. (2019). The design and planning of an integrated supply chain for perishable products under uncertainties case study in milk industry. Supply chain for perishable products, 15(4), 1301-1337. https://doi.org/10.1108/JM2-03-2019-0071
  • Esteso, A., Alemany, M.M.E., Ortiz, A. (2021). Impact of product perishability on agri-food supply chains design. Applied Mathematical Modelling, 96, 20-38. https://doi.org/10.1016/j.apm.2021.02.027
  • Etemadnia, H., Goetz, S.J., Canning, P., Tavallali, M.S. (2015). Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach. European Journal of Operational Research, 244(2), 648-661. https://doi.org/10.1016/j.ejor.2015.01.044
  • Farahani, P., Grunow, M., Günther, H.O. (2012). Integrated production and distribution planning for perishable food products. Flexible Services and Manufacturing Journal, 24, 28-51. https://doi.org/10.1007/s10696-011-9125-0
  • Flores, R.G., Filho, O.V.S., Martins, R.S., Martins, C.V.B., Juliao, P. (2015). Using logistic models to optimize the food supply chain (pp. 307-330). Modeling Food Processing Operations. https://doi.org/10.1016/B978-1-78242-284-6.00011-8
  • Ganeshkumar, C., Pachayappan, M., Madanmohan, G. (2017). Agri-food supply chain management: Literature review. Intelligent Information Management, 9, 68-96. http://dx.doi.org/10.2139/ssrn.3093241
  • Ge, H., Goetz, S., Canning, P., Perez, A. (2018). Optimal locations of fresh produce aggregation facilities in the United States with scale economies. International Journal of Production Economics, 197, 143-157. https://doi.org/10.1016/j.ijpe.2018.01.007
  • Ge, H., Goetz, S.J., Clary, R., Yi, J., Gomez, M.I. (2022). Facility locations in the fresh produce supply chain: An integration of optimization and empirical methods. International Journal of Production Economics, 249, 108534. https://doi.org/10.1016/j.ijpe.2022.108534
  • Ghezavati, V.R., Hooshyar, S., Moghaddam, R.T. (2015). A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. CEJOR, 25, 29-54. ttps://doi.org/10.1007/s10100-015-0418-3
  • Goli, A., Tirkolaee, E.B., Weber, G.W. (2020). A perishable product sustainable supply chain network design problem with lead time and customer satisfaction using a Hybrid Whale-Genetic Algorithm (pp. 99-124). Logistics Operations and Management for Recycling and Reuse. https://doi.org/10.1007/978-3-642-33857-1_6
  • Govindan, K., Jafarian, A., Khodaverdi, R., Devika, K. (2013). Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152, 9-28. https://doi.org/10.1016/j.ijpe.2013.12.028
  • Hiassat, A., Diabat, A., Rahwan, I. (2016). A genetic algorithm approach for location-inventory-routing problemwith perishable products. Journal of Manufacturing Systems, 42, 93-103. http://dx.doi.org/10.1016/j.jmsy.2016.10.004, 93–103
  • Huh, W.T., Lall, U. (2013). Optimal crop choice, irrigation allocation, and the impact of contract farming. Production and Operations Management, 22(5), 1126–1143. https://doi.org/10.1111/poms.12007
  • Ji, Y., Du, J., Han, X., Wu, X., Huang, R., Wang, S., Liu, Z. (2020). A mixed integer robust programming model for two-echelon inventory routing problem of perishable products. Physica A: Statistical Machanics and its Applications, 548, 124481. https://doi.org/10.1016/j.physa.2020.124481
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OPTIMIZATION STRATEGIES IN SUPPLY CHAIN MANAGEMENT OF PERISHABLE PRODUCTS : A LITERATURE REVIEW

Year 2023, Volume: 5 Issue: 2, 27 - 41, 30.05.2023

Abstract

This study involved a comprehensive review of academic articles on perishable food products published between 2012 and 2022. The classification of the products throughout the evaluation procedure took into account the supply, manufacture, processing, storage, and consumption locations. General analyses were conducted on the articles reviewed within the purview of the study, including the distribution of the articles in terms of time, geography, index information, and citation data. The scope of the study in perishable supply chain management, the methodologies, and the objective function were classified for the pertinent articles in the detailed analysis. This study is distinct from other literature reviews in that it divides research on perishable food goods into categories based on the supply chain impact area.

References

  • Accorsi, R., Gallo, A., Manzini, R. (2017). A climate driven decision- A climate driven decision-support model for the distribution of perishable p support model for the distribution of perishable products. Cleaner Product, 165, 917-929. https://doi.org/10.1016/j.jclepro.2017.07.170
  • Ahumada, O., Villalobos, J.R., Mason, A.N. (2012). Tactical planning of the production and distribution of fresh agricultural products under uncertainty. Agricultural Systems, 112, 17-26. https://doi.org/10.1016/j.agsy.2012.06.002
  • Albrecht, W., Steinrücke, M. (2017). Coordinating continuous-time distribution and sales planning of perishable goods with quality grades. International Journal of Production Research, 56(7), 2646-2665. https://doi.org/10.1080/00207543.2017.1384584
  • Alkaabneh, F., Diabat, A., Gao, H.O. (2020). Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs. Computers and Operations Research, 113, 104751. https://doi.org/10.1016/j.cor.2019.07.009
  • Amorim, P., Günther, H.O., Lobo, B.A. (2012). Multi-objective integrated production and distribution planning of perishable products. International Journal of Production Economics, 138(1), 89-101. https://doi.org/10.1016/j.ijpe.2012.03.005
  • Amorim, P., Meyr, H., Almeder, C., Lobo, B.A. (2013). Managing perishability in production-distribution planning: a discussion and review. Flexible Services and Manufacturing Journal, 25, 389-413. https://doi.org/10.1007/s10696-011-9122-3
  • Anitha, P., Patil, M.M. (2018). A review on data analytics for supply chain management: A case study. International Journal of Information Engineering and Electronic Business, 5, 30-39. DOI: 10.5815/ijieeb.2018.05.05
  • AriaNezhad, M.G., Makuie, A., Khayatmoghadam, S. (2013). Developing and solving two-echelon inventory system for perishable items in a supply chain: case study. Journal of Industrial Engineering Int., 39, 1-10. https://doi.org/10.1186/2251-712X-9-39
  • Azadeh, A., Elahi, S., Hosseinabadi Farahani, M., Nasirian, B. (2017). A genetic algorithm-Taguchi based approach to inventory routing problem of a single perishable product with transshipment. Computers and Industrial Engineering, 104, 124-133. https://doi.org/10.1016/j.cie.2016.12.019
  • Basset, M.A., Manograna, G. Mohamed, M. (2018). Internet of things and its impact on supply chain: A framework for building smart. secure and efficient systems. Future Generation Computer Systems, 86, 614-628. https://doi.org/10.1016/j.future.2018.04.051
  • Behzadi, G., Sullivan, M.J., Olsen, T.L., Zhang, A. (2017). Agribusiness supply chain risk management: A review of quantitative decision models. Omega, 79, 21-42. https://doi.org/10.1016/j.omega.2017.07.005
  • Biuki, M., Kazami, A., Alineshad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260(120842), 1-14. https://doi.org/10.1016/j.jclepro.2020.120842
  • Castro, J. A. O., Coronado, L. A. S., Lozano, A. M. P. (2017). Coupling facility location models in the supply chain of perishable fruits. Research in Transportation Business & Management, 24, 73-80. https://doi.org/10.1016/j.rtbm.2017.08.002
  • Chao, C., Zhihui, T., Baozhen, Y. (2019). Optimization of two-stage location-routing-inventory problem with time-windows in food distribution network. Annals of Operations Research, 273, 111-134. https://doi.org/10.1007/s10479-017-2514-3
  • Dai, Z., Aqlan, F., Zheng, X, Gao, K. (2018). A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints. Computers & Industrial Engineering, 119, 338-352. https://doi.org/10.1016/j.cie.2018.04.007
  • Demirtaş, N., Tuzkaya, U.R. (2012). Strategic planning of layout of the distribution center: an approach for fruits and vegetables hall. Procedia - Social and Behavioral Sciences, 58, 159-168. https://doi.org/10.1016/j.sbspro.2012.09.989
  • Diatha, K.S., Karumanchi, R., Garg, S. (2012). Mobile enabled operations management using multi-objective based logistics planning for perishable products. Computers and Industrial Engineering, 1-15.
  • Drezner, Z., Scott, C.H. (2013). Location of a distribution center for a perishable product. Mathematical Methods of Operations Research, 78, 301-314. https://doi.org/10.1007/s00186-013-0445-6
  • Dutta, P., Shrivastava, H. (2019). The design and planning of an integrated supply chain for perishable products under uncertainties case study in milk industry. Supply chain for perishable products, 15(4), 1301-1337. https://doi.org/10.1108/JM2-03-2019-0071
  • Esteso, A., Alemany, M.M.E., Ortiz, A. (2021). Impact of product perishability on agri-food supply chains design. Applied Mathematical Modelling, 96, 20-38. https://doi.org/10.1016/j.apm.2021.02.027
  • Etemadnia, H., Goetz, S.J., Canning, P., Tavallali, M.S. (2015). Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach. European Journal of Operational Research, 244(2), 648-661. https://doi.org/10.1016/j.ejor.2015.01.044
  • Farahani, P., Grunow, M., Günther, H.O. (2012). Integrated production and distribution planning for perishable food products. Flexible Services and Manufacturing Journal, 24, 28-51. https://doi.org/10.1007/s10696-011-9125-0
  • Flores, R.G., Filho, O.V.S., Martins, R.S., Martins, C.V.B., Juliao, P. (2015). Using logistic models to optimize the food supply chain (pp. 307-330). Modeling Food Processing Operations. https://doi.org/10.1016/B978-1-78242-284-6.00011-8
  • Ganeshkumar, C., Pachayappan, M., Madanmohan, G. (2017). Agri-food supply chain management: Literature review. Intelligent Information Management, 9, 68-96. http://dx.doi.org/10.2139/ssrn.3093241
  • Ge, H., Goetz, S., Canning, P., Perez, A. (2018). Optimal locations of fresh produce aggregation facilities in the United States with scale economies. International Journal of Production Economics, 197, 143-157. https://doi.org/10.1016/j.ijpe.2018.01.007
  • Ge, H., Goetz, S.J., Clary, R., Yi, J., Gomez, M.I. (2022). Facility locations in the fresh produce supply chain: An integration of optimization and empirical methods. International Journal of Production Economics, 249, 108534. https://doi.org/10.1016/j.ijpe.2022.108534
  • Ghezavati, V.R., Hooshyar, S., Moghaddam, R.T. (2015). A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. CEJOR, 25, 29-54. ttps://doi.org/10.1007/s10100-015-0418-3
  • Goli, A., Tirkolaee, E.B., Weber, G.W. (2020). A perishable product sustainable supply chain network design problem with lead time and customer satisfaction using a Hybrid Whale-Genetic Algorithm (pp. 99-124). Logistics Operations and Management for Recycling and Reuse. https://doi.org/10.1007/978-3-642-33857-1_6
  • Govindan, K., Jafarian, A., Khodaverdi, R., Devika, K. (2013). Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food. International Journal of Production Economics, 152, 9-28. https://doi.org/10.1016/j.ijpe.2013.12.028
  • Hiassat, A., Diabat, A., Rahwan, I. (2016). A genetic algorithm approach for location-inventory-routing problemwith perishable products. Journal of Manufacturing Systems, 42, 93-103. http://dx.doi.org/10.1016/j.jmsy.2016.10.004, 93–103
  • Huh, W.T., Lall, U. (2013). Optimal crop choice, irrigation allocation, and the impact of contract farming. Production and Operations Management, 22(5), 1126–1143. https://doi.org/10.1111/poms.12007
  • Ji, Y., Du, J., Han, X., Wu, X., Huang, R., Wang, S., Liu, Z. (2020). A mixed integer robust programming model for two-echelon inventory routing problem of perishable products. Physica A: Statistical Machanics and its Applications, 548, 124481. https://doi.org/10.1016/j.physa.2020.124481
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Bozulabilir Ürünlerin Tedarik Zinciri Yönetiminde Optimizasyon Stratejileri: Bir Literatür Taraması

Year 2023, Volume: 5 Issue: 2, 27 - 41, 30.05.2023

Abstract

Bu çalışma, 2012 ile 2022 yılları arasında çabuk bozulan gıda ürünleri hakkında yayınlanan akademik makalelerin kapsamlı bir incelemesini içermektedir. Değerlendirme prosedürü boyunca ürünlerin sınıflandırılmasında tedarik, üretim, işleme, depolama ve tüketim yerleri dikkate alınmıştır. Çalışma kapsamında incelenen makaleler üzerinde, makalelerin zaman, coğrafya, indeks bilgileri ve atıf verilerine göre dağılımlarını içeren genel analizler yapılmıştır. Bozulabilir tedarik zinciri yönetiminde çalışmanın kapsamı, metodolojileri ve amaç fonksiyonu, detaylı analizde ilgili maddeler için sınıflandırılmıştır. Bu çalışma, çabuk bozulan gıda ürünleriyle ilgili araştırmaları tedarik zinciri etki alanına göre kategorilere ayırması bakımından diğer literatür incelemelerinden farklıdır.

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There are 67 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Articles
Authors

Mesut Samastı 0000-0002-4900-8279

Tarık Küçükdeniz 0000-0002-6670-1809

Early Pub Date May 31, 2023
Publication Date May 30, 2023
Submission Date January 24, 2023
Published in Issue Year 2023 Volume: 5 Issue: 2

Cite

APA Samastı, M., & Küçükdeniz, T. (2023). OPTIMIZATION STRATEGIES IN SUPPLY CHAIN MANAGEMENT OF PERISHABLE PRODUCTS : A LITERATURE REVIEW. Uluslararası Anadolu Ziraat Mühendisliği Bilimleri Dergisi, 5(2), 27-41.