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A Literature Review of Mathematical Programming Applications in the Fresh Agri-Food Supply Chain

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Industrial Engineering and Operations Management II (IJCIEOM 2018)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 281))

Abstract

This work presents a literature review of mixed integer programming (MIP) applications in the fresh agri-food supply chain (ASC). The agricultural products attract great attention because it is an issue related to public health, subject to strict regulations and inspections. Due to the strong need to increase the efficiency of the supply chain, the planning models have become of increasing importance to producers and companies. Among the concerns of ASC problems, perishability is very critical for horticultural products, whose shelf life is significantly lower than of traditional crops, like grains and other vegetables. This research comes up first with a tertiary study of ASC publications, i.e., a review of reviews to investigate the core themes that have been studied. Thus, a secondary study on the primary literature was conducted. The use of mathematical models for applications in crop planning can be found since the early 1950 years, even in a tenuous way, but it became more widespread during the decade of 1980, with growing interest in the 1990s. In particular, the perishability of fresh products and risk management are two themes which have gained importance and visibility among recent research and publications, highlighting the relevance of the present study.

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References

  1. Abedinnia, H., Glock, C.H., Schneider, M., Grosse, E.H.: Machine scheduling problems in production: a tertiary study. Comput. Ind. Eng. (in press) (2017)

    Google Scholar 

  2. Ahumada, O., Villalobos, J.R.: Applications of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 195, 1–20 (2009)

    Article  Google Scholar 

  3. Ahumada, O., Villalobos, J.R.: A tactical model for planning the production and distribution of fresh produce. Ann. Oper. Res. 190, 339–358 (2011)

    Article  MathSciNet  Google Scholar 

  4. Ahumada, O., Villalobos, J.R.: Operational model for planning the harvest and distribution of perishable agricultural products. Int. J. Prod. Econ. 133, 677–687 (2011)

    Article  Google Scholar 

  5. Apaiah, R.K., Hendrix, E.M.T.: Design of a supply chain network for pea-based novel protein foods. J. Food Eng. 70, 383–391 (2005)

    Article  Google Scholar 

  6. Aramyan, C., Ondersteijn, O., van Kooten, O., Lansink, A.O.: Performance indicators in agri-food production chains. In: Quantifying the Agri-Food Supply Chain, pp. 49–66. Springer, Netherlands, Chapter 5 (2006)

    Google Scholar 

  7. Bixby, R., Fenelon, M., Gu, Z., Rothber, E., Wunderling, R.: MIP: theory and practice—closing the gap. In: Powell, M., Scholtes, S. (eds.) System Modeling and Optimization: Methods, Theory and Applications. Kluwer Academic Publishers, Hingham (2000)

    Google Scholar 

  8. Blanco, V., Carpente, L., Hinojosa, Y., Puerta, J.: Planning for agricultural forage harvesters and trucks: model, heuristics, and case study. Netw. Spat. Econ. 10(3), 321–343 (2010)

    Article  Google Scholar 

  9. Blanco, A.M., Masini, G., Petracci, N., Bandoni, J.A.: Operations management of a packaging plant in the fruit industry. J. Food Eng. 70, 299–307 (2005)

    Article  Google Scholar 

  10. Broekmeulen, R.A.C.M.: Operations management of distribution centers for vegetables and fruits. Int. Trans. Oper. Res. 5(6), 501–508 (1998)

    Article  Google Scholar 

  11. Carpente, L., Casas-Méndez, B., Jácome, C., Puerto, J.: A model and two heuristic approaches for a forage harvester planning problem: a case study. Top 10, 122–139 (2010)

    Article  Google Scholar 

  12. Ferrer, J.C., MacCawley, A., Maturana, S., Toloza, S., Vera, J.: An optimization approach for scheduling wine grape harvest operations. Int. J. Prod. Econ. 112(2), 985–999 (2008)

    Article  Google Scholar 

  13. Ganeshkumar, C., Pachayappan, M., Madanmohan, G.: Agri-food supply chain management: literature review. Intell. Inform. Manag. 9, 68–96 (2017)

    Google Scholar 

  14. Glen, J.J.: Mathematical-models in farm-planning – a survey. Oper. Res. 35(5), 641–666 (1987)

    Article  Google Scholar 

  15. Handayati, Y., Simatupang, T.M., Perdana, T.: Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Res 8(5), 1–15 (2015)

    Google Scholar 

  16. Higgins, A.: Scheduling of road vehicles in sugarcane transport: a case study at an Australian sugar mill. Eur. J. Oper. Res. 170, 987–1000 (2006)

    Article  Google Scholar 

  17. Kader, A.A.: Postharvest Technology of Horticultural Crops. ANR, Oakland (2002)

    Google Scholar 

  18. Kusumastuti, R.D., Donk, D.P., Teunter, R.: Crop-related harvesting and processing planning: a review. Int. J. Prod. Econ. 174, 76–92 (2016)

    Article  Google Scholar 

  19. Lowe, T.J., Preckel, P.V.: Decision technologies for agribusiness problems: a brief review of selected literature and a call for research. Manuf. Serv. Oper. Manag. 6(3), 201–208 (2004)

    Article  Google Scholar 

  20. Lucas, M.T., Chhajed, D.: Applications of location analysis in agriculture: a survey. J. Oper. Res. Soc. 55(6), 561–578 (2004)

    Article  Google Scholar 

  21. Maia, L.O.A., Lago, R.A., Qassim, R.Y.: Selection of postharvest technology routes by mixed-integer linear programming. Int. J. Prod. Econ. 49, 85–90 (1997)

    Article  Google Scholar 

  22. Mason, N., Flores, H., Villalobos, J.R., Ahumada, O.: Planning the planting, harvest, and distribution of fresh horticultural products. In: Plà-Aragonés, L.M.: Handbook of Operations Research in Agriculture and the Agri-Food Industry, pp. 19–54. Springer Science, New York, Chapter 3 (2015)

    Chapter  Google Scholar 

  23. Paam, P., Berretta, R., Heydar, M., Middleton, R.H., García-Flores, R., Juliano, P.: Planning models to optimize the agri-fresh food supply chain for loss minimization: a review. In: Reference Module in Food Science, pp. 19–54. Elsevier (2016)

    Google Scholar 

  24. Quadra, P.R.B., Rodriguez, J.M., Terol, M.C.R., Cruz, D.E.: A three level multi-period multi-location and multi-crop sustainable supply chain model. In: IEEE International Conference on Industrial Engineering and Engineering Management (2009)

    Google Scholar 

  25. Rantala, J.: Optimizing the supply chain strategy of a multi-unit Finnish nursery company. Silva Fennica 38(2), 203–215 (2004)

    Article  Google Scholar 

  26. Rong, A., Akkerman, R., Grunow, M.: An optimization approach for managing fresh food quality throughout the supply chain. Int. J. Prod. Econ. 131, 421–429 (2011)

    Article  Google Scholar 

  27. Salin, V.: Information technology in agri-food supply chains. Int. Food Agribus. Manag. Rev. 1(3), 329–334 (1998)

    Article  Google Scholar 

  28. Septiani, W., Marimin, M., Herdiyeni, Y., Haditjaroko, L.: Method and approach mapping for agri-food supply chain risk management: a literature review. Int. J. Supply Chain Manag. 5(2), 51–64 (2016)

    Google Scholar 

  29. Siddh, M.M., Soni, G., Jain, R., Sharma, M.K., Yadav, V.: Agri-fresh food supply chain quality (AFSCQ): a literature review. Ind. Manage. Data Syst. 117(9), 2015–2044 (2017)

    Article  Google Scholar 

  30. Soto-Silva, W.E., González-Araya, M.C., Oliva-Fernández, M.A., Plà-Aragonés, L.M.: Optimizing fresh food logistics for processing: application for a large Chilean apple supply chain. Comput. Electron. Agric. 136, 42–57 (2017)

    Article  Google Scholar 

  31. Stray, B.J., Vuuren, J.H., Bezuidenhout, C.N.: An optimisation-based seasonal sugarcane harvest scheduling decision support system for commercial growers in South Africa. Comput. Electron. Agric. 18, 21–31 (2012)

    Article  Google Scholar 

  32. Tavella, E., Hjortsø, C.N.: Enhancing the design and management of a local organic food supply chain with soft systems methodology. Int. Food Agribus. Manag. Rev. 15(2), 47–68 (2012)

    Google Scholar 

  33. Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Agrifood supply chain management: a comprehensive hierarchical decision-making framework and a critical taxonomy. Biosys. Eng. 120, 47–64 (2014)

    Article  Google Scholar 

  34. Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Supply chain management for the agri-food sector: a critical taxonomy. In: 2nd International Conference on Supply Chains (2012)

    Google Scholar 

  35. Yandra, A., Marimin, M., Jamaran, I., Tamura, H.: An integration of multi-objective genetic algorithm and fuzzy logic for optimization of agroindustrial supply chain design. In: Annual Meeting of the ISSS (2007)

    Google Scholar 

  36. Zhang, W., Wilhelm, W.E.: OR/MS decision support models for the specialty crops industry: a literature review. Ann. Oper. Res. 190(1), 131–148 (2011)

    Article  MathSciNet  Google Scholar 

  37. Zhao, X., Lv, Q.: Optimal design of agri-food chain network: an improved particle swarm optimization approach. In: International Conference on Management and Service Science (2011)

    Google Scholar 

  38. Zuo, M., Kuo, W., McRoberts, K.L.: Application of mathematical programming to a large-scale agricultural production and distribution system. J. Oper. Res. Soc. 43(8), 639–648 (1991)

    Article  Google Scholar 

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Acknowledgements

This work was supported by Newton Fund (British Council), CNPq (National Council of Technological and Scientific Development, Brazil) and FAPEG (Goias State Research Foundation, Brazil).

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Authors and Affiliations

  1. Federal University of Goias (UFG), Rua Mucuri, s/n, Conde dos Arcos, Aparecida de Goiania, 74968-755, Brazil

    Helio Yochihiro Fuchigami, Maico Roris Severino, Lie Yamanaka & Meire Ramalho de Oliveira

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  1. Helio Yochihiro Fuchigami
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  2. Maico Roris Severino
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  3. Lie Yamanaka
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  4. Meire Ramalho de Oliveira
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Correspondence to Helio Yochihiro Fuchigami .

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Editors and Affiliations

  1. Department of Military Science and Technology, Portuguese Military Academy, Amadora, Portugal

    João Reis

  2. Department of Exact Sciences and Engineering, Portuguese Military Academy, Amadora, Portugal

    Sandra Pinelas

  3. School of Technology and Management, Polytechnic Institute of Viseu, Viseu, Portugal

    Nuno Melão

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Fuchigami, H.Y., Severino, M.R., Yamanaka, L., de Oliveira, M.R. (2019). A Literature Review of Mathematical Programming Applications in the Fresh Agri-Food Supply Chain. In: Reis, J., Pinelas, S., Melão, N. (eds) Industrial Engineering and Operations Management II. IJCIEOM 2018. Springer Proceedings in Mathematics & Statistics, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-14973-4_4

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