In this paper, we present a Linear Programming Problem (LPP) to minimize the cost of transportation of NBC, PLC products from three distribution centres to ten depots. Three methods of analysis were considered namely: Integer Programming, simplex method and transportation method via computer packages. The result of the analysis revealed that, the cost of transportation from these distribution centres to all the 10 depots are the same. That is, the optimal cost is N9, 127, 776.
Published in | American Journal of Theoretical and Applied Statistics (Volume 4, Issue 3) |
DOI | 10.11648/j.ajtas.20150403.13 |
Page(s) | 85-88 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2015. Published by Science Publishing Group |
Constraints, Algorithm, Simplex Methods, Objective Function, Minimizes
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APA Style
Ayansola Olufemi Aderemi, Oyenuga Iyabode Favour, Abimbola Latifat Adebisi. (2015). Comparative Study of Efficiency of Integer Programming, Simplex Method and Transportation Method in Linear Programming Problem (LPP). American Journal of Theoretical and Applied Statistics, 4(3), 85-88. https://doi.org/10.11648/j.ajtas.20150403.13
ACS Style
Ayansola Olufemi Aderemi; Oyenuga Iyabode Favour; Abimbola Latifat Adebisi. Comparative Study of Efficiency of Integer Programming, Simplex Method and Transportation Method in Linear Programming Problem (LPP). Am. J. Theor. Appl. Stat. 2015, 4(3), 85-88. doi: 10.11648/j.ajtas.20150403.13
AMA Style
Ayansola Olufemi Aderemi, Oyenuga Iyabode Favour, Abimbola Latifat Adebisi. Comparative Study of Efficiency of Integer Programming, Simplex Method and Transportation Method in Linear Programming Problem (LPP). Am J Theor Appl Stat. 2015;4(3):85-88. doi: 10.11648/j.ajtas.20150403.13
@article{10.11648/j.ajtas.20150403.13, author = {Ayansola Olufemi Aderemi and Oyenuga Iyabode Favour and Abimbola Latifat Adebisi}, title = {Comparative Study of Efficiency of Integer Programming, Simplex Method and Transportation Method in Linear Programming Problem (LPP)}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {4}, number = {3}, pages = {85-88}, doi = {10.11648/j.ajtas.20150403.13}, url = {https://doi.org/10.11648/j.ajtas.20150403.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150403.13}, abstract = {In this paper, we present a Linear Programming Problem (LPP) to minimize the cost of transportation of NBC, PLC products from three distribution centres to ten depots. Three methods of analysis were considered namely: Integer Programming, simplex method and transportation method via computer packages. The result of the analysis revealed that, the cost of transportation from these distribution centres to all the 10 depots are the same. That is, the optimal cost is N9, 127, 776.}, year = {2015} }
TY - JOUR T1 - Comparative Study of Efficiency of Integer Programming, Simplex Method and Transportation Method in Linear Programming Problem (LPP) AU - Ayansola Olufemi Aderemi AU - Oyenuga Iyabode Favour AU - Abimbola Latifat Adebisi Y1 - 2015/03/31 PY - 2015 N1 - https://doi.org/10.11648/j.ajtas.20150403.13 DO - 10.11648/j.ajtas.20150403.13 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 85 EP - 88 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20150403.13 AB - In this paper, we present a Linear Programming Problem (LPP) to minimize the cost of transportation of NBC, PLC products from three distribution centres to ten depots. Three methods of analysis were considered namely: Integer Programming, simplex method and transportation method via computer packages. The result of the analysis revealed that, the cost of transportation from these distribution centres to all the 10 depots are the same. That is, the optimal cost is N9, 127, 776. VL - 4 IS - 3 ER -