A Decision Support System for Planning New Products Introductions in Fresh Produce Supply Chains
Published
May 6, 2020
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Omar Ahumada Valenzuela
http://orcid.org/0000-0002-0181-3578
Jesus Rene Villalobos
http://orcid.org/0000-0003-2530-9760
Juan Carlos Leyva López
http://orcid.org/0000-0002-4821-6324
Jesús Jaime Solano Noriega
http://orcid.org/0000-0002-8762-1453
http://orcid.org/0000-0002-0181-3578
Jesus Rene Villalobos
http://orcid.org/0000-0003-2530-9760
Juan Carlos Leyva López
http://orcid.org/0000-0002-4821-6324
Jesús Jaime Solano Noriega
http://orcid.org/0000-0002-8762-1453
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Abstract
This research develops an initial proposal of a Decision Support System –DSS– to plan the production and distribution of new fresh agricultural products. This system is based on a hierarchical approach, which can be applied to enterprises as a planning module or as a stand-alone system for crop production. In this paper is stressed the importance of the DSS for small and medium-sized companies, or for small group of growers that need to improve coordination between their growing and market decisions. The DSS covers the strategic, tactical and operational decisions for every season, focusing on new product introduction. The aim of DSS is increasing the competitiveness of growers in a highly variable and complex marketplace. The agri-food sector still needs evolving to meet increasing demands, understand particular tastes of new consumers and evaluating the requirements of new players.
Keywords
Sistemas de apoio à tomada de decisões, introdução de novos produtos, cadeia de fornecimento agrícola, produção e distribuição planificada de produtos perecíveisSistemas de apoyo a la toma de decisiones, introducción de nuevos productos, cadena de suministro agrícola, producción y distribución planificada de productos pereciblesDecision Support Systems, new product introduction, agri-food supply chain, production and distribution planning of perishable products.
References
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Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196(1), 1-20. https://doi.org/10.1016/j.ejor.2008.02.014
Ahumada, O., & Villalobos, J. R. (2011). A tactical model for planning the production and distribution of fresh produce. Annals of Operations Research, 190(1), 339-358. https://doi.org/10.1007/s10479-009-0614-4
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.
Alexandratos, N., & Bruinsma, J. (2012). World agriculture towards 2030/2050: The 2012 revision. ESA Working Papers 12-03. Food and Agriculture Organization of the United Nations. https://doi.org/10.22004/ag.econ.288998
Allaoui, H., Guo, Y., Choudhary, A., & Bloemhof, J. (2018). Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach. Computers & Operations Research, 89, 369-384. https://doi.org/10.1016/J.COR.2016.10.012
Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., & van der Vorst, J. G. A. (2018). Multi-criteria decision making approaches for green supply chains: A review. Flexible Services and Manufacturing Journal, 30(3), 366-396. https://doi.org/10.1007/s10696-016-9263-5
Burstein, F., & Holsapple, C. W. (2008). Handbook on decision support systems 2: Variations. Springer Science & Business Media.
Dantzig, G. B. (2010). Linear programming under uncertainty. In Stochastic programming (pp. 1-11). Springer.
Farahani, P., Grunow, M., & Günther, H.-O. (2012). Integrated production and distribution planning for perishable food products. Flexible Services and Manufacturing Journal, 24(1), 28-51.
Flores, H., Villalobos, J. R., Ahumada, O., Uchanski, M., Meneses, C., & Sanchez, O. (2019). Use of supply chain planning tools for efficiently placing small farmers into high-value, vegetable markets. Computers and Electronics in Agriculture, 157, 205-217.
Glen, J. J. (1987). Mathematical models in farm planning: A survey. Operations Research, 35(5), 641-666.
Grunert, K. G., Jensen, B. B., Sonne, A.-M., Brunsø, K., Byrne, D. V, Clausen, C. (2008). User-oriented innovation in the food sector: Relevant streams of research and an agenda for future work. Trends in Food Science & Technology, 19(11), 590-602.
Kader, A. A. (2002). Postharvest technology of horticultural crops (Vol. 3311). University of California Agriculture and Natural Resources.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179-194. https://doi.org/10.1016/J.IJPE.2019.05.022
Kaufman, P. R. (2000). Understanding the dynamics of produce markets consumption and consolidation grow. London: Diane Publishing.
Linnemann, A., Hendrix, E., Apaiah, R., & van Boekel, T. (2015). Food chain design using multi criteria decision making, an approach to complex design issues. NJAS-Wageningen Journal of Life Sciences, 72-73, 13-21. http://dx.doi.org/10.1016/j.njas.2014.10.002
Little, C., Aqueveque, C., & Aguilera, J. M. (2015). Producer–consumer misalignment as a possible cause for new food failure: empirical evidence from Chile. Journal of international food & agribusiness marketing, 27(3), 228-253. https://doi.org/10.1080/08974438.2014.940120
Lowe, T. & Preckel, P. (2004). Decision technologies for agribusiness problems: A brief review of selected literature and a call for research. Manufacturing & Service Operations Management, 6(3), 201-208. https://doi.org/10.1287/msom.1040.0051
Moskowitz, H. R., Saguy, I. S., & Straus, T. (2009). An integrated approach to new food product development. London: CRC Press.
Perosio, D., McLaughlin, E., Cuellar, S., & Park, K. (2001). Supply chain management in the produce industry. New York: Cornell University. https://doi.org/10.22004/ag.econ.122645
Rae, A. N. (1971). An empirical application and evaluation of discrete stochastic programming in farm management. American Journal of Agricultural Economics, 53(4), 625-638. https://doi.org/10.2307/1237827
Rae, A. N. (1977). Crop management economics. London: Crosby Lockwood Staples. 525 p.
Rezaeian, J., Haghayegh, S., & Mahdavi, I. (2016). Designing an integrated production/distribution and inventory planning model of fixed-life perishable products. Journal of Optimization in Industrial Engineering, 9(19), 47-60. https://doi.org/10.22094/JOIE.2016.229
Sagarpa. (2010). Retos y oportunidades del sistema agroalimentario de México en los próximos 20 años. Working Paper, s.n. http://www.sagarpa.gob.mx/agronegocios/Documents/pablo/retosyoportunidades.pdf
Vidal, C. J., & Goetschalckx, M. (2001). A global supply chain model with transfer pricing and transportation cost allocation. European Journal of Operational Research, 129(1), 134-158. https://doi.org/10.1016/S0377-2217(99)00431-2
Villalobos, J. R., Soto-Silva, W. E., González-Araya, M. C., & González–Ramirez, R. G. (2019). Research directions in technology development to support real-time decisions of fresh produce logistics: A review and research agenda. Computers and Electronics in Agriculture, 167, 105092. https://doi.org/10.1016/J.COMPAG.2019.105092
Zuurbier, P. J. (1999). Supply chain management in the fresh produce industry: A mile to go? Journal of Food Distribution Research, 30(856-2016–57418), 20-30. https://doi.org/ 10.22004/ag.econ.26781
Ahumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196(1), 1-20. https://doi.org/10.1016/j.ejor.2008.02.014
Ahumada, O., & Villalobos, J. R. (2011). A tactical model for planning the production and distribution of fresh produce. Annals of Operations Research, 190(1), 339-358. https://doi.org/10.1007/s10479-009-0614-4
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.
Alexandratos, N., & Bruinsma, J. (2012). World agriculture towards 2030/2050: The 2012 revision. ESA Working Papers 12-03. Food and Agriculture Organization of the United Nations. https://doi.org/10.22004/ag.econ.288998
Allaoui, H., Guo, Y., Choudhary, A., & Bloemhof, J. (2018). Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach. Computers & Operations Research, 89, 369-384. https://doi.org/10.1016/J.COR.2016.10.012
Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., & van der Vorst, J. G. A. (2018). Multi-criteria decision making approaches for green supply chains: A review. Flexible Services and Manufacturing Journal, 30(3), 366-396. https://doi.org/10.1007/s10696-016-9263-5
Burstein, F., & Holsapple, C. W. (2008). Handbook on decision support systems 2: Variations. Springer Science & Business Media.
Dantzig, G. B. (2010). Linear programming under uncertainty. In Stochastic programming (pp. 1-11). Springer.
Farahani, P., Grunow, M., & Günther, H.-O. (2012). Integrated production and distribution planning for perishable food products. Flexible Services and Manufacturing Journal, 24(1), 28-51.
Flores, H., Villalobos, J. R., Ahumada, O., Uchanski, M., Meneses, C., & Sanchez, O. (2019). Use of supply chain planning tools for efficiently placing small farmers into high-value, vegetable markets. Computers and Electronics in Agriculture, 157, 205-217.
Glen, J. J. (1987). Mathematical models in farm planning: A survey. Operations Research, 35(5), 641-666.
Grunert, K. G., Jensen, B. B., Sonne, A.-M., Brunsø, K., Byrne, D. V, Clausen, C. (2008). User-oriented innovation in the food sector: Relevant streams of research and an agenda for future work. Trends in Food Science & Technology, 19(11), 590-602.
Kader, A. A. (2002). Postharvest technology of horticultural crops (Vol. 3311). University of California Agriculture and Natural Resources.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179-194. https://doi.org/10.1016/J.IJPE.2019.05.022
Kaufman, P. R. (2000). Understanding the dynamics of produce markets consumption and consolidation grow. London: Diane Publishing.
Linnemann, A., Hendrix, E., Apaiah, R., & van Boekel, T. (2015). Food chain design using multi criteria decision making, an approach to complex design issues. NJAS-Wageningen Journal of Life Sciences, 72-73, 13-21. http://dx.doi.org/10.1016/j.njas.2014.10.002
Little, C., Aqueveque, C., & Aguilera, J. M. (2015). Producer–consumer misalignment as a possible cause for new food failure: empirical evidence from Chile. Journal of international food & agribusiness marketing, 27(3), 228-253. https://doi.org/10.1080/08974438.2014.940120
Lowe, T. & Preckel, P. (2004). Decision technologies for agribusiness problems: A brief review of selected literature and a call for research. Manufacturing & Service Operations Management, 6(3), 201-208. https://doi.org/10.1287/msom.1040.0051
Moskowitz, H. R., Saguy, I. S., & Straus, T. (2009). An integrated approach to new food product development. London: CRC Press.
Perosio, D., McLaughlin, E., Cuellar, S., & Park, K. (2001). Supply chain management in the produce industry. New York: Cornell University. https://doi.org/10.22004/ag.econ.122645
Rae, A. N. (1971). An empirical application and evaluation of discrete stochastic programming in farm management. American Journal of Agricultural Economics, 53(4), 625-638. https://doi.org/10.2307/1237827
Rae, A. N. (1977). Crop management economics. London: Crosby Lockwood Staples. 525 p.
Rezaeian, J., Haghayegh, S., & Mahdavi, I. (2016). Designing an integrated production/distribution and inventory planning model of fixed-life perishable products. Journal of Optimization in Industrial Engineering, 9(19), 47-60. https://doi.org/10.22094/JOIE.2016.229
Sagarpa. (2010). Retos y oportunidades del sistema agroalimentario de México en los próximos 20 años. Working Paper, s.n. http://www.sagarpa.gob.mx/agronegocios/Documents/pablo/retosyoportunidades.pdf
Vidal, C. J., & Goetschalckx, M. (2001). A global supply chain model with transfer pricing and transportation cost allocation. European Journal of Operational Research, 129(1), 134-158. https://doi.org/10.1016/S0377-2217(99)00431-2
Villalobos, J. R., Soto-Silva, W. E., González-Araya, M. C., & González–Ramirez, R. G. (2019). Research directions in technology development to support real-time decisions of fresh produce logistics: A review and research agenda. Computers and Electronics in Agriculture, 167, 105092. https://doi.org/10.1016/J.COMPAG.2019.105092
Zuurbier, P. J. (1999). Supply chain management in the fresh produce industry: A mile to go? Journal of Food Distribution Research, 30(856-2016–57418), 20-30. https://doi.org/ 10.22004/ag.econ.26781
How to Cite
Ahumada Valenzuela, O., Villalobos, J. R., Leyva López, J. C., & Solano Noriega, J. J. (2020). A Decision Support System for Planning New Products Introductions in Fresh Produce Supply Chains. Cuadernos De Administración, 33. https://doi.org/10.11144/Javeriana.cao33.adssp
Section
Special Knowledge management innovation through fuzzy methodologies
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