You are here

Dynamic Impact of the Structure of the Supply Chain of Perishable Foods on Logistics Performance and Food Security

Journal Name:

Publication Year:

DOI: 
doi.org/10.3926/jiem.2147
Abstract (2. Language): 
Purpose: Understanding how the structure affects logistical performance and food security is critical in the supply chains of perishable foods (PFSC). This research proposes a system dynamics model to analyse the effects of structures: lean, agile, flexible and responsive, in the overall performance and of each agent of the PFSC. Design/methodology/approach: Using a system dynamics model and design of experiments it is studied how the different structures and their combination, affect the behaviour of inventory, transportation, responsiveness, efficiency, availability and quality-safety of the fresh fruits supply chain and each echelon. Findings: The studies of supply chains have been done for each structure in an independent way; investigations are scarce in supply chains of perishable foods. The structures modelled in this research do not show the better performance in all the metrics of the chain, neither in all agents for each structure. The above implies the presence of trade-offs. Research limitations/implications: The results show the need to investigate mixed structures with the PFSC´s own characteristics; the model can be applied in other supply chains of perishable foods.Practical implications: Management by combining structures in the PFSC, improves logistics performance and contributes to food security. Social implications: The agents of the FFSC can apply the structures found in this study, to improve their logistics performance and the food security. Originality/value: The dynamics of individual and combined structures were identified, which constitutes a contribution to the discussion in the literature of such problems for FFSC. The model includes six echelons: farmers, wholesalers, agro-industry, third-party logistics operators and retailers. The dynamic contemplates deterioration rate to model perishability and others losses.
687
710

REFERENCES

References: 

Agarwal, A., Shankar, R., & Tiwari, M.K. (2006). Modeling the metrics of lean, agile and leagile
supply chain: An ANP-based approach. European Journal of Operational Research, 211-225.
https://doi.org/10.1016/j.ejor.2004.12.005
Agronet. http://www.agronet.gov.co/estadistica/Paginas/default.aspx
Aragón-Correa, J.A., Senise-Barrio, M.E., & Matías-Reche, F. (1998). Estrategia, Estructura organizativa y
desempeño medioambiental: repercusiones del ajuste. Investigaciones Europeas de Dirección y Economía de la
Empresa, 41-56.Aramyan, L., Ondersteijn, C., Van Kooten, O., & Lansink, A. (2006). Performance indicators in agri-food
production chains. Quantifying the Agri-food Supply Chain, 47-64. https://doi.org/10.1007/1-4020-4693-6_5
Asohofrucol (2014). http://www.asohofrucol.com.co/fruta_detalle.php?id=64
Bourlakis, M., Maglaras, G., & Fotopoulos, C. (2012). Creating a “best value supply chain”? Empirical
evidence from the Greek food chain. The International Journal of Logistics Management, 23(3), 360382.
https://doi.org/10.1108/09574091211289228
Bourlakis, M., Maglaras, G., Aktas, E., Gallear, D., & Fotopoulos, C. (2014). Firm size and sustainable
performance in food supply chains: Insights from Greek SMEs. International Journal of Production
Economics, 152, 112-130. https://doi.org/10.1016/j.ijpe.2013.12.029
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journla of Logistics
Management, 1-13. https://doi.org/10.1108/09574090410700275
Cozzolino, A., Rossi, S., & Conforti, A. (2012). Agile and lean principles in the humanitarian supply
chain: The case of the United Nations World Food Programme. Journal of Humanitarian Logistics and
Supply Chain Management, 2(1), 16-33. https://doi.org/10.1108/20426741211225984
Cook, R.L. (2002). The U.S. fresh produce industry: an industry in transition. Postharvest Technology of
Horticultural Crops, (third ed.). Vol. 3311. Oakland, CA, USA: University of California Agriculture &
Natural Resources,.
Dabbene, F., Gay, P., & Sacco, N. (2008a). Optimisation of fresh-food supply chains in uncertain
environments. Part II: A case study. Biosystems Engineering, 99(3), 360-371.
https://doi.org/10.1016/j.biosystemseng.2007.11.012
Dabbene, F., Gay, P., & Sacco, N. (2008b). Optimisation of fresh-food supply chains in uncertain
environments. Part I: Background and methodology. Biosystems Engineering, 99(3), 348-350.
https://doi.org/10.1016/j.biosystemseng.2007.11.012
DANE. (2014). Encuesta Nacional Agropecuaria.
www.dane.gov.co, https://www.dane.gov.co/index.php/agropecuario-alias/estadisticas-agrico...
DANE. (s.f.). Estimación y proyección de población nacional, departamental y municipal total por área
1985-2020. http://www.dane.gov.co/files/investigaciones/poblacion/proyepobla06_20/M...
Faostat. http://statistics.amis-outlook.org/data/index.htm l
Fisher, M. (1997). What is the Right Supply Chain for Your Product? Harvard Business Review, 105-116.
Forrester, J.W. (1958). Industrial Dynamics: A Major Break through for Decision Makers. Harvard
Business Review, 36(4), 37-66.Gattorna, J. (2015). Dynamic Supply Chain (Vol. 3). Edingurgh, UK: Pearson Education Limited.
Giachetti, R., Martinez, L., Sáenz, O., & Chin-Seng, C. (2003). Analysis of the structural measures of
flexibility and agility using a measurement theoretical framework. International Journal of Production
Economics, 47-62. https://doi.org/10.1016/S0925-5273(03)00004-5
Gunasekaran, A., Lai, K.H., & Cheng, E. (2008). Responsive supply chain: A competitive strategy in a
networked economy. Omega The International Journal of Management Science, 549-564.
https://doi.org/10.1016/j.omega.2006.12.002
Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R., & Meybeck, A. (2011). Global food losses
and food waste. Food and Agriculture Organization of the United Nations, Rome.
Harrison, A., & Van Hoek, R. (2008). Logistics Management and Strategy (3 ed.). Harlow: Pearson.
Lee, H. (2002). Aligning Supply Chain Strategies with Product Uncertainties. California Management Review
Reprint Series. https://doi.org/10.2307/41166135
Lyons, A.C., & Ma’aram, A. (2014). An examination of multi-tier supply chain strategy alignment in the
food industry. International Journal of Production Research, 527, 911-1925.
https://doi.org/10.1080/00207543.2013.787172
Lowe, T.J., & Preckel, P.V. (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
Malorgio, G., & Felice, A. (2014). Trade and logistics: The fruit and vegetables industry. Mediterra 2014,
149-171.
Manjavacas, M. & FAO (2012). La producción mundial de fruta tropical. http://www.fao.org/agronoticias/agronoticias/
detalle/es/c/159358/ (Accessed: February 2017).
Manson-Jones, R., & Towill, D.R. (1999). Total cycle time compression and the agile supply chain.
International journal of production economics, 61-73. https://doi.org/10.1016/S0925-5273(98)00221-7
Miranda, D. (2011). Estado actual de fruticultura colombiana y perspectivas para su desarrollo. Revista
Brasileira de Fruticultura, 199-205.
Myerson, P. (2012). Lean Supply Chain and Logistics Management. New York, EEUU: McGraw Hill.
Naim, M.M., & Gosling, J. (2011). On leanness, agility and leagile supply chains. International Journal
Production Economics, 342-354. https://doi.org/10.1016/j.ijpe.2010.04.045Rong, A., Akkerman, R., & Grunow, M. (2011). An optimization approach for managing fresh food
quality throughout the supply chain. International Journal of Production Economics, 131(1), 421-429.
https://doi.org/10.1016/j.ijpe.2009.11.026
Ruiz-Moreno, A.F., Caicedo-Otavo, A.L., & Orjuela-Castro, J.A. (2015). Integración Externa en las
Cadenas de Suministro Agroindustriales: Una Revisión al Estado del Arte. Ingeniería, 20(2), 9-30.
Simchi-Levi, D. (2010). Operations Rules: delivering customer, value through, flexible operations. Cambridge: The
Mit Press.
Simchi-Levi, D., Schmidt, W., & Wei, Y. (2014). From superstorms to factory fires: managing unpredictable supplychain
disruptions. Harvard Bursiness Review.
Srinivasan, M.M. (2012). Building Lean Supply Chain with the Theory of Constraints. New York, EEUU:
McGraw Hill.
Sterman, J. (2000). Bussiness Dynamics: Systems Thinking. United States: McGraw Hill.
Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain perspective: definition and review.
International Journal of Operations & Production Management, 27(7), 685-713.
https://doi.org/10.1108/0144357071075+6956
Van der Vorst, J.G., Van Dijk, S.J., & Beulens, A.J. (2001). Supply chain design in the food industry. The
International Journal of Logistics Management, 12(2), 73-85. https://doi.org/10.1108/09574090110806307
Van der Vorst, J. (2005). Performance measurement in agri-food supply chain networks. An overview.
In Quantifying the Agri-food Supply Chain. Springer. 15-26.
Widodo, K.H., Nagasawa, H., Morizawa, K., & Ota, M. (2006). A periodical flowering– harvesting
model for delivering agricultural fresh products. European Journal of Operational Research, 170(1), 24-43.
https://doi.org/10.1016/j.ejor.2004.05.024
Yu, M., & Nagurney, A. (2013). Competitive food supply chain networks with application to fresh
produce. European Journal of Operational Research, 224(2), 273-282. https://doi.org/10.1016/j.ejor.2012.07.033
Zanoni, S., & Zavanella, L. (2012). Chilled or frozen? Decision strategies for sustainable food supply
chains. International Journal of Production Economics, 140(2), 731-736. https://doi.org/10.1016/j.ijpe.2011.04.028
Zhang, G., Habenicht, W., & Spieß, W. (2003). Improving the structure of deep frozen and chilled food chain
with tabu search procedure. Journal of Food Engineering, 60(1), 67-79. https://doi.org/10.1016/S0260-
8774(03)00019-0

Thank you for copying data from http://www.arastirmax.com