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Distribution Design to Reduce Transportation Cost towards Successful Capacity Planning

Sazid Abdul, Sinthia Amin

Abstract


For the lacking of warm cloths, poverty audiences face a lot of problems as they feel cold a lot. This problem occurs because of not being the proper distributions in every district within a low expenditure. But a lot of NGOs generally have ignored the logistic distributions as the transportation cost becomes high. As a result, for not getting these products, every poor people suffer a lot and, it creates a negative impact in our country. This article figures a model of logistic distribution in which the products are distributed to the people at a low cost by locating the targeted points and coordinating with different NGOs according to their storage capacities.


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References


Kovács, G., & Spens, K., "Identifying Challenges in Humanitarian Logistics", International Journal of Physical Distribution and Logistics Management, 39(6), 506–528. https://doi.org/10.1108/09600030910985848

Tatham, P. H., Spens, K. M., Taylor, D., Jahre, M., Jensen, L. M., & Listou, T., "Theory Development in Humanitarian Logistics: A Framework and Three Cases", Management Research News, 32(11), 1008–1023. https://doi.org/10.1108/01409170910998255

Social, E. C., TÍTOL 5 Estudiants. May, 90–91.

Holguín-Veras, J., Jaller, M., Van Wassenhove, L. N., Pérez, N., & Wachtendorf, T., "On The Unique Features of Post-Disaster Humanitarian Logistics", Journal of Operations Management, 30(7–8), 494–506. https://doi.org/10.1016/j.jom.2012.08.003

Berkoune, D., Renaud, J., Rekik, M., & Ruiz, A., "Transportation In Disaster Response Operations", Socio-Economic Planning Sciences, 46(1), 23–32. https://doi.org/10.1016/j.seps.2011.05.002

De la Torre, L. E., Dolinskaya, I. S., & Smilowitz, K. R., "Disaster Relief Routing: Integrating Research and Practice", Socio-Economic Planning Sciences, 46(1), 88–97. https://doi.org/10.1016/j.seps.2011.06.001

Safeer, M., Anbuudayasankar, S. P., Balkumar, K., & Ganesh, K., "Analyzing Transportation and Distribution in Emergency Humanitarian Logistics", Procedia Engineering, 97, 2248–2258. https://doi.org/10.1016/j.proeng.2014.12.469

Roghanian, E., Sadjadi, S. J., & Aryanezhad, M. B., "A Probabilistic Bi-Level Linear Multi-Objective Programming Problem to Supply Chain Planning", Applied Mathematics and Computation, 188(1), 786–800. https://doi.org/10.1016/j.amc.2006.10.032

Sun, H., Gao, Z., & Wu, J., "A Bi-Level Programming Model and Solution Algorithm for The Location of Logistics Distribution Centers", Applied Mathematical Modelling, 32(4), 610–616. https://doi.org/10.1016/j.apm.2007.02.007

Yu, B., Kong, L., Sun, Y., Yao, B., & Gao, Z., "A Bi-Level Programming for Bus Lane Network Design", Transportation Research Part C: Emerging Technologies, 55, 310–327. https://doi.org/10.1016/j.trc.2015.02.014

Liv, T., Ai, Q., & Zhao, Y., "A Bi-Level Multi-Objective Optimal Operation of Grid-Connected Microgrids", Electric Power Systems Research, 131, 60–70. https://doi.org/10.1016/j.epsr.2015.09.018

`Graeml, A. R., Industrial distribution logistics and its adjustment to Internet times [004-0366].

Clauûen, H., Buning, C., Rarey, M., & Lengauer, T., F LEX E : Efficient Molecular Docking Considering Protein Structure Variations. https://doi.org/10.1006/jmbi.2001.4551

Lin, C., Choy, K. L., Chung, S. H., & Lam, H. Y., "Survey of Green Vehicle Routing Problem : Past and Future Trends". https://doi.org/10.1016/j.eswa.2013.07.107

Programming, L., For, U. S. E., & Water, E., "Water Resources Bulletin", JAWRA Journal of the American Water Resources Association, 9(6), 1289–1289. https://doi.org/10.1111/j.1752-1688.1973.tb05876.x

Widmer, M., & Hertz, A., "A New Heuristic Method for The Flow Shop Sequencing Problem", European Journal of Operational Research, 41(2), 186–193. https://doi.org/10.1016/0377-2217(89)90383-4

Ziliaskopoulos, A. K., & Ziliaskopoulos, A. K., "Single Destination System Optimum", Transportation Science, October 2016, 36–49

Sariklis, D., & Powell, S., "A Heuristic Method for The Open Vehicle Routing Problem", Journal of the Operational Research Society, 51(5), 564–573. https://doi.org/10.1057/palgrave.jors.2600924

Wang, R. C., & Liang, T. F., "Application of Fuzzy Multi-Objective Linear Programming to Aggregate Production Planning", Computers and Industrial Engineering, 46(1), 17–41. https://doi.org/10.1016/j.cie.2003.09.009

Antunes, C. H., Martins, A. G., & Brito, I. S., "A Multiple Objective Mixed Integer Linear Programming Model for Power Generation Expansion Planning", Energy, 29(4), 613–627. https://doi.org/10.1016/j.energy.2003.10.012

Bellabdaoui, A., & Teghem, J., "A Mixed-Integer Linear Programming Model for The Continuous Casting Planning", International Journal of Production Economics, 104(2), 260–270. https://doi.org/10.1016/j.ijpe.2004.10.016

Mete, H. O., & Zabinsky, Z. B., "Stochastic Optimization of Medical Supply Location and Distribution in Disaster Management", International Journal of Production Economics, 126(1), 76–84. https://doi.org/10.1016/j.ijpe.2009.10.004

Ben-Tal, A., Chung, B. Do, Mandala, S. R., & Yao, T., "Robust Optimization for Emergency Logistics Planning: Risk Mitigation in Humanitarian Relief Supply Chains", Transportation Research Part B: Methodological, 45(8), 1177–1189. https://doi.org/10.1016/j.trb.2010.09.002

Bozorgi-Amiri, A., Jabalameli, M. S., & Mirzapour Al-e-Hashem, S. M. J. "A Multi-Objective Robust Stochastic Programming Model for Disaster Relief Logistics Under Uncertainty", OR Spectrum, 35(4), 905–933. https://doi.org/10.1007/s00291-011-0268-x


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