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A Model of Linear Programming for Profit Optimization and Share Profit between Investment Partners and Seller: A Case Study of Bangladesh Cookies Company

by Nahida Islam, Muhammed Hanif, Ashraf Uddin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 2
Year of Publication: 2023
Authors: Nahida Islam, Muhammed Hanif, Ashraf Uddin
10.5120/ijca2023922662

Nahida Islam, Muhammed Hanif, Ashraf Uddin . A Model of Linear Programming for Profit Optimization and Share Profit between Investment Partners and Seller: A Case Study of Bangladesh Cookies Company. International Journal of Computer Applications. 185, 2 ( Apr 2023), 7-10. DOI=10.5120/ijca2023922662

@article{ 10.5120/ijca2023922662,
author = { Nahida Islam, Muhammed Hanif, Ashraf Uddin },
title = { A Model of Linear Programming for Profit Optimization and Share Profit between Investment Partners and Seller: A Case Study of Bangladesh Cookies Company },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2023 },
volume = { 185 },
number = { 2 },
month = { Apr },
year = { 2023 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number2/32675-2023922662/ },
doi = { 10.5120/ijca2023922662 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:02.585756+05:30
%A Nahida Islam
%A Muhammed Hanif
%A Ashraf Uddin
%T A Model of Linear Programming for Profit Optimization and Share Profit between Investment Partners and Seller: A Case Study of Bangladesh Cookies Company
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 2
%P 7-10
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present a linear programming model to optimize the profit and share profit between investment partners and sellers of a Cookies company. A model has been proposed that considers the product cost, sales price and the investment as constraints to share the profit between seller and company. The object is to find the optimal combination of prices that maximizes the profit and share profit while satisfying all the constraints. The result show that the model can provide useful insights and recommendation for the company to improve its profitability, share profit and competitiveness.

References
  1. Dantzig G.B., Programming of interdependent activities: II Mathematical Model, Econometrical, 17 (3), pp. 200–211, 1949. doi:10.2307/1905523
  2. "Linear Programming and Network Flows" by Mokhtar S. Bazaraa, John J. Jarvis, and Hanif D. Sherali
  3. Dantzig, G.B.: Compact basis triangularization for the simplex method, R.L. Graves and P. Wolfe (eds.), Recent Advances in Mathematical Programming, McGraw-Hill, New York, pp.125–132, 1963.
  4. Drayer, W. and Seabury, S.: Linear programming - A case example, strategy & leadership, 3(5), pp.24-26, 1975.
  5. Kim, C.: Parametrizing an activity vector in linear programming, Operations Research, 19, pp.1632-1646, 1971.
  6. Mehdipoor, E.; Sadr-ol-ashraafi, S.M. and Karbaasi, A.: A comparison of canonical linear programming techniques, Meaty Chicken’ Feed Farming with Linear Programming Models, Scientific-Research Magazine of Agriculture, 12(3), 2006.
  7. Misra, R.B.: Numerical Analysis for solution of ordinary differential equations, Lambert Academic Published
Index Terms

Computer Science
Information Sciences

Keywords

Profit Share Linear Programming Profit Optimization Cookies Industry.

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