Titulo:
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain
.
Guardado en:
1794-1237
2463-0950
14
2017-10-26
Revista EIA/ English version - 2017
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
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Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain Volume flexibility is used in this article to determine responsiveness to changes in the deterioration factors of perishable stages in a supply chain. The main objective of this study is to evaluate the impact of this strategy on two key indicators for network performance, such as logistics costs and service levels. The research involves the operation of a papaya distribution network formed by a producer and a retailer, which is simulated through System Dynamics. A policy of flexibility is achieved, which dramatically improves volume indicators such as the level of service and costs considered in the study. However, using this strategy involves taking on a higher cost of inventory storage and an additional cost of capacity increase. Paredes Rodríguez, Andrés Mauricio Salazar Ramos, Andrés Felipe Capacity Flexibility Volume Perishables Supply Chain Papaya System Dynamics. 14 27 Artículo de revista Journal article 2017-10-26 15:20:25 2017-10-26 15:20:25 2017-10-26 application/pdf Revista EIA / English version Revista EIA / English version 1794-1237 2463-0950 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1204 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1204 eng https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista EIA/ English version - 2017 Bhunia, a. K., & Maiti, M. (1999). An inventory model of deteriorating items with lot-size dependent replenishment cost and a linear trend in demand. Applied Mathematical Modelling, 23(4), 301–308. http://doi.org/10.1016/S0307-904X(98)10089-6 Blome, C., Schoenherr, T., & Eckstein, D. (2014). The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view. International Journal of Production Economics, 147, 307–316. http://doi.org/10.1016/j.ijpe.2013.02.028 Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of Operations Management, 27(2), 119–140. http://doi.org/10.1016/j.jom.2008.09.006 Castellanos, O., Fúquene, A., Fonseca, S., Ramírez, D., Giraldo, E., & Valencia, M. (2011). ESTUDIO DE LA CADENA PRODUCTIVA DE LA PAPAYA EN LA REGIÓN DEL NORTE DEL VALLE-BRUT. Croom, S., Romano, P., & Giannakis, M. (2000). Supply chain management: an analytical framework for critical literature review. European Journal of Purchasing & Supply Management, 6(1), 67–83. http://doi.org/10.1016/S0969-7012(99)00030-1 Disney, S. M., & Towill, D. R. (2003). The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains. International Journal of Production Economics, 85(2), 199–215. http://doi.org/10.1016/S0925-5273(03)00110-5 Higuchi, T., & Troutt, M. D. (2004). Dynamic simulation of the supply chain for a short life cycle product—Lessons from the Tamagotchi case. Computers & Operations Research, 31(7), 1097–1114. http://doi.org/10.1016/S0305-0548(03)00067-4 Jack, E. P., & Raturi, A. (2002). Sources of volume flexibility and their impact on performance. Journal of Operations Management, 20(5), 519–548. http://doi.org/10.1016/S0272-6963(01)00079-1 Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. MIT Sloan Management Review, 38(3), 93–102. Li, R., Hongjie, L., & Mawhinney, J. (2010). A Review on Deteriorating Inventory Study. Journal of Service Science and Management, 03(01), 117–129. Minegishi, S., & Thiel, D. (2000). System dynamics modeling and simulation of a particular food supply chain. Simulation Practice and Theory, 8(5), 321–339. http://doi.org/10.1016/S0928-4869(00)00026-4 Nita.H. Shah. (1993). Probabilistic time-scheduling model for an exponentially decaying inventory when delays in payments are permissible. International Journal of Production Economics, 32(1), 77–82. Padmanabhan, G., & Vrat, P. (1995). EOQ models for perishable items under stock dependent selling rate. European Journal of Operational Research, 86(2), 281–292. Paredes, A. M., & Salazar, A. F. (2014). Visión sistémica del análisis de la flexibilidad en cadenas de suministro de productos perecederos. Sistemas & Telemàtica, 63–86. Sicilia, J., González, M., Febles, J., & Alcaide, D. (2014). An inventory model for deteriorating items with shortages and time-varying demand. International Journal of Production Economics, (2003), 1–8. Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain Flexibility perspective : definition and review. International Journal of Operations & Production Management, 27(7), 685–713. http://doi.org/10.1108/01443570710756956 Vickery, S., Calantone, R., & Dröge, C. (1999). Supply Chain Flexibility : An empirical study. Journal of Supply Chain Management, 35(3), 16–24. Zhang, Q., Vonderembse, M. A., & Lim, J.-S. (2003). Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction. Journal of Operations Management, 21(2), 173–191. http://doi.org/10.1016/S0272-6963(02)00067-0 https://revistas.eia.edu.co/index.php/Reveiaenglish/article/download/1204/1125 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
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UNIVERSIDAD EIA |
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Revista EIA / English version |
| title |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain |
| spellingShingle |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain Paredes Rodríguez, Andrés Mauricio Salazar Ramos, Andrés Felipe Capacity Flexibility Volume Perishables Supply Chain Papaya System Dynamics. |
| title_short |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain |
| title_full |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain |
| title_fullStr |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain |
| title_full_unstemmed |
Systemic Evaluation of a Policy of Volume Flexibility in a Papaya Distribution Supply Chain |
| title_sort |
systemic evaluation of a policy of volume flexibility in a papaya distribution supply chain |
| description_eng |
Volume flexibility is used in this article to determine responsiveness to changes in the deterioration factors of perishable stages in a supply chain. The main objective of this study is to evaluate the impact of this strategy on two key indicators for network performance, such as logistics costs and service levels. The research involves the operation of a papaya distribution network formed by a producer and a retailer, which is simulated through System Dynamics. A policy of flexibility is achieved, which dramatically improves volume indicators such as the level of service and costs considered in the study. However, using this strategy involves taking on a higher cost of inventory storage and an additional cost of capacity increase.
|
| author |
Paredes Rodríguez, Andrés Mauricio Salazar Ramos, Andrés Felipe |
| author_facet |
Paredes Rodríguez, Andrés Mauricio Salazar Ramos, Andrés Felipe |
| topic |
Capacity Flexibility Volume Perishables Supply Chain Papaya System Dynamics. |
| topic_facet |
Capacity Flexibility Volume Perishables Supply Chain Papaya System Dynamics. |
| citationvolume |
14 |
| citationissue |
27 |
| publisher |
Revista EIA / English version |
| ispartofjournal |
Revista EIA / English version |
| source |
https://revistas.eia.edu.co/index.php/Reveiaenglish/article/view/1204 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista EIA/ English version - 2017 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references_eng |
Bhunia, a. K., & Maiti, M. (1999). An inventory model of deteriorating items with lot-size dependent replenishment cost and a linear trend in demand. Applied Mathematical Modelling, 23(4), 301–308. http://doi.org/10.1016/S0307-904X(98)10089-6 Blome, C., Schoenherr, T., & Eckstein, D. (2014). The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view. International Journal of Production Economics, 147, 307–316. http://doi.org/10.1016/j.ijpe.2013.02.028 Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of Operations Management, 27(2), 119–140. http://doi.org/10.1016/j.jom.2008.09.006 Castellanos, O., Fúquene, A., Fonseca, S., Ramírez, D., Giraldo, E., & Valencia, M. (2011). ESTUDIO DE LA CADENA PRODUCTIVA DE LA PAPAYA EN LA REGIÓN DEL NORTE DEL VALLE-BRUT. Croom, S., Romano, P., & Giannakis, M. (2000). Supply chain management: an analytical framework for critical literature review. European Journal of Purchasing & Supply Management, 6(1), 67–83. http://doi.org/10.1016/S0969-7012(99)00030-1 Disney, S. M., & Towill, D. R. (2003). The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains. International Journal of Production Economics, 85(2), 199–215. http://doi.org/10.1016/S0925-5273(03)00110-5 Higuchi, T., & Troutt, M. D. (2004). Dynamic simulation of the supply chain for a short life cycle product—Lessons from the Tamagotchi case. Computers & Operations Research, 31(7), 1097–1114. http://doi.org/10.1016/S0305-0548(03)00067-4 Jack, E. P., & Raturi, A. (2002). Sources of volume flexibility and their impact on performance. Journal of Operations Management, 20(5), 519–548. http://doi.org/10.1016/S0272-6963(01)00079-1 Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. MIT Sloan Management Review, 38(3), 93–102. Li, R., Hongjie, L., & Mawhinney, J. (2010). A Review on Deteriorating Inventory Study. Journal of Service Science and Management, 03(01), 117–129. Minegishi, S., & Thiel, D. (2000). System dynamics modeling and simulation of a particular food supply chain. Simulation Practice and Theory, 8(5), 321–339. http://doi.org/10.1016/S0928-4869(00)00026-4 Nita.H. Shah. (1993). Probabilistic time-scheduling model for an exponentially decaying inventory when delays in payments are permissible. International Journal of Production Economics, 32(1), 77–82. Padmanabhan, G., & Vrat, P. (1995). EOQ models for perishable items under stock dependent selling rate. European Journal of Operational Research, 86(2), 281–292. Paredes, A. M., & Salazar, A. F. (2014). Visión sistémica del análisis de la flexibilidad en cadenas de suministro de productos perecederos. Sistemas & Telemàtica, 63–86. Sicilia, J., González, M., Febles, J., & Alcaide, D. (2014). An inventory model for deteriorating items with shortages and time-varying demand. International Journal of Production Economics, (2003), 1–8. Stevenson, M., & Spring, M. (2007). Flexibility from a supply chain Flexibility perspective : definition and review. International Journal of Operations & Production Management, 27(7), 685–713. http://doi.org/10.1108/01443570710756956 Vickery, S., Calantone, R., & Dröge, C. (1999). Supply Chain Flexibility : An empirical study. Journal of Supply Chain Management, 35(3), 16–24. Zhang, Q., Vonderembse, M. A., & Lim, J.-S. (2003). Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction. Journal of Operations Management, 21(2), 173–191. http://doi.org/10.1016/S0272-6963(02)00067-0 |
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