Abstract
We propose a strategy for dynamic temperature management inside reefer containers in banana supply chains, with the objective of reducing energy consumption and deliver bananas with good quality. In this paper a model is developed to determine optimal temperature profiles for the future days during shipment. To assure the right quality in a dynamic environment, continuous monitoring inside reefers can be used to check the status of bananas. The optimization takes into consideration of disturbances of banana quality and estimated arrival time. Therefore, decisions are updated each day to cope with the possible disturbances. Simulation experiments compare the proposed approach and currently used approach. Results show that with the proposed approach, bananas can be delivered with right quality and reduced energy consumption.
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References
Achterberg, T.: SCIP: solving constraint integer programs. Math. Program. Comput. 1(1), 1–41 (2009)
Akkerman, R., Farahani, P., Grunow, M.: Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges. OR Spectr. 32, 863–904 (2010)
Aung, M.M., Chang, Y.S.: Temperature management for the quality assurance of a perishable food supply chain. Food Control 40, 198–207 (2014)
Bureau for the Appraisal of Social Impacts for Citizen information: Banana value chains in Europe. Technical report (2015). http://www.makefruitfair.org/wp-content/uploads/2015/11/banana_value_chain_research_FINAL_WEB.pdf
Fitzgerald, W.B., Howitt, O.J.A., Smith, I.J., Hume, A.: Energy use of integral refrigerated containers in maritime transportation. Energy Policy 39(4), 1885–1896 (2011)
Global Coldchain Alliance: WFLO commodity storage manual bananas. Technical report (2008). http://www.gcca.org/wp-content/uploads/2012/09/Bananas.pdf. Accessed 20 Sept 2016
Haass, R., Dittmer, P., Veigt, M., Lütjen, M.: Reducing food losses and carbon emission by using autonomous control - a simulation study of the intelligent container. Int. J. Prod. Econ. 164, 400–408 (2015)
Jedermann, R., Lang, W.: Computational fluid dynamics modelling of deviating airflow and cooling conditions in banana containers. In: ISHS Acta Horticulturae 1154, Wageningen, The Netherlands, vol. 99, pp. 193–200 (2017)
Jedermann, R., Praeger, U., Geyer, M., Lang, W.: Remote quality monitoring in the banana chain. Philos. Trans. R. Soc. A 372(2017), 20130303 (2014)
Jedermann, R., Praeger, U., Lang, W.: Challenges and opportunities in remote monitoring of perishable products. Food Packag. Shelf Life 14, 18–25 (2017)
Lin, X., Negenborn, R.R., Duinkerken, M.B., Lodewijks, G.: Quality-aware modeling and optimal scheduling for perishable good distribution networks: the case of banana logistics. In: Proceedings of the 8th International Conference on Computational Logistics, Southampton, UK, pp. 483–497 (2017)
Mendoza, F., Aguilera, J., Dejmek, P.: Predicting ripening stages of bananas (Musa Cavendish) by computer vision. In: V International Postharvest Symposium, vol. 682, pp. 1363–1370 (2004)
Rong, A., Akkerman, R., Grunow, M.: An optimization approach for managing fresh food quality throughout the supply chain. Int. J. Prod. Econ. 131(1), 421–429 (2011)
TIS: Reefers, technical aspects during transportation. Technical report (2016). http://www.containerhandbuch.de/chb_e/wild/index.html?/chb_e/wild/wild_08_01_02.html
Zanoni, S., Zavanella, L.: Chilled or frozen? Decision strategies for sustainable food supply chains. Int. J. Prod. Econ. 140, 731–736 (2012)
Acknowledgment
Part of this research is supported by the China Scholarship Council under grant 201406950004, entitled: “Controlled cool logistics: real-time coordination for fresher agricultural products”.
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Mees, H.O., Lin, X., Negenborn, R.R. (2018). Towards a Flexible Banana Supply Chain: Dynamic Reefer Temperature Management for Reduced Energy Consumption and Assured Product Quality. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_31
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DOI: https://doi.org/10.1007/978-3-319-74225-0_31
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