American Journal of Operations Management and Information Systems

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Application of Linear Programming Technique on Bread Production Optimization in Rufus Giwa Polytechnic Bakery, Ondo State, Nigeria

Received: 30 October 2016    Accepted: 30 December 2016    Published: 21 January 2017
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Abstract

The paper examined the optimization of bread production in Rufus Giwa Polytechnic Bakery, Owo, Ondo State, Nigeria, using linear programming technique. Three types of bread produced by the bakery were considered in the research and which are medium bread (X1), large bread (X 2) and extra-large bread (X 3) respectively. Data were collected for four (4) weeks based on temperature per unit of production of the breads using a pocket infrared thermometer so as to know if there will be any deviation in the mode of operation but everything proved to be the same since the process follows a repetitive process of production. The data was analyzed using LINGO software version 15. The findings revealed that optimal solution was attained at X3=1.175 and Zmax =47572.28. It is therefore recommended that the institution bakery should stop producing medium and large bread and produce 235pieces of extra-large bread only from 1.175unit (i.e. 1bag of flour) per day for them to make a maximum profit of #47572.28($239.19) per day or the unit profit on the medium bread and large bread must increase to #39474.87($198.48) and #37450.52($188.30) before it becomes economical to produce.

DOI 10.11648/j.ajomis.20170202.11
Published in American Journal of Operations Management and Information Systems (Volume 2, Issue 2, May 2017)
Page(s) 32-36
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.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Linear Programming Technique, Bread Production, Optimization, Bakery, Ondo State

References
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[2] Junaid, A. A., and Mukhtar, H. S., (2010): Development of Optimal Cutting Plan using Linear Programming Tools and MATLAB Algorithm. International Journal of Innovation, Management and Technology, Vol.1, No.5, pp.483-492, December.
[3] Adebiyi, S. O., Amole, B. B., and Soile, I. O., (2014): Linear Optimization Techniques for Product-Mix of Paints Production in Nigeria. AUDCE, Vol.10, No.1, pp.181-190.
[4] Ibitoye, O., Atoyebi, K. O., Genevieve, K., and Kadiri, K., (2015): Entrepreneur Decision Making Process and Application of Linear Programming Technique. European Journal of Business, Economics and Accountancy, Vol.3, No.5, pp.1-5.
[5] Vakilifard, H., Esmalifalak, H., and Behzadpoor, M., (2013): Profit Optimization and Post Optimality Analysis using Linear Programming. World Journal of Social Sciences, Vol.3, No.2, pp.127-137, March.
[6] Rajeiyan, K., Nejati, F. K., Hajati, R., Safari, H. R., and Alizadeh, E., (2013): Using Linear Programming in Solving the Problem of Services Company’s Costs. Singaporean Journal of Business Economics and Management Studies, Vol.1, No.10, pp.68-73.
[7] Balogun, O. S., Jolayemi, E. T., Akingbade, T. J., and Muazu, H. G., (2012): Use of Linear Programming for Optimal Production in a Production Line in Coca-Cola Bottling Company, Ilorin. International Journal of Engineering Research and Applications, Vol.2, Issue 5, Sept.,-Oct., pp.2004-2007.
[8] Veselovska, L., (2014): A Linear Programming Model of Integrating Flexibility Measures into Production Processes with Cost Minimization. Journal of Small Business and Entrepreneurship Development, Vol.2, No.1, pp.67-82, March.
[9] Felix, M., Judith, M., Jonathan, M., and Munashe, S., (2013): Modelling a Small Farm Livelihood System using Linear Programming in Bindura, Zimbabwe. Research Journal of Management Sciences, 2 (5), 20-23.
[10] Anieting, A. E., Ezugwu, V. O., and Ologun, S., (2013): Application of Linear Programming Technique in the Determination of Optimum Production Capacity. IOSR Journal of Mathematics (IOSR-JM), 5 (6), 62-65.
[11] Iheagwara, A. I., Opara, J., Esemokumo, P. A., and Lebechi, J. I., (2014): Application of Linear Programming Problem on Niger Mills Company Plc, Calabar. International Journal of Innovation and Research in Educational Sciences, 1 (2), 105-114.
Author Information
  • Postgraduate Research Student at the Department of Mechanical Engineering, Federal University of Technology, Akure, Nigeria

  • Department of Banking and Finance, Rufus Giwa Polytechnic, Owo, Nigeria

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    Raimi Oluwole Abiodun, Adedayo Olawale Clement. (2017). Application of Linear Programming Technique on Bread Production Optimization in Rufus Giwa Polytechnic Bakery, Ondo State, Nigeria. American Journal of Operations Management and Information Systems, 2(2), 32-36. https://doi.org/10.11648/j.ajomis.20170202.11

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    Raimi Oluwole Abiodun; Adedayo Olawale Clement. Application of Linear Programming Technique on Bread Production Optimization in Rufus Giwa Polytechnic Bakery, Ondo State, Nigeria. Am. J. Oper. Manag. Inf. Syst. 2017, 2(2), 32-36. doi: 10.11648/j.ajomis.20170202.11

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    AMA Style

    Raimi Oluwole Abiodun, Adedayo Olawale Clement. Application of Linear Programming Technique on Bread Production Optimization in Rufus Giwa Polytechnic Bakery, Ondo State, Nigeria. Am J Oper Manag Inf Syst. 2017;2(2):32-36. doi: 10.11648/j.ajomis.20170202.11

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  • @article{10.11648/j.ajomis.20170202.11,
      author = {Raimi Oluwole Abiodun and Adedayo Olawale Clement},
      title = {Application of Linear Programming Technique on Bread Production Optimization in Rufus Giwa Polytechnic Bakery, Ondo State, Nigeria},
      journal = {American Journal of Operations Management and Information Systems},
      volume = {2},
      number = {2},
      pages = {32-36},
      doi = {10.11648/j.ajomis.20170202.11},
      url = {https://doi.org/10.11648/j.ajomis.20170202.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajomis.20170202.11},
      abstract = {The paper examined the optimization of bread production in Rufus Giwa Polytechnic Bakery, Owo, Ondo State, Nigeria, using linear programming technique. Three types of bread produced by the bakery were considered in the research and which are medium bread (X1), large bread (X 2) and extra-large bread (X 3) respectively. Data were collected for four (4) weeks based on temperature per unit of production of the breads using a pocket infrared thermometer so as to know if there will be any deviation in the mode of operation but everything proved to be the same since the process follows a repetitive process of production. The data was analyzed using LINGO software version 15. The findings revealed that optimal solution was attained at X3=1.175 and Zmax  =47572.28. It is therefore recommended that the institution bakery should stop producing medium and large bread and produce 235pieces of extra-large bread only from 1.175unit (i.e. 1bag of flour) per day for them to make a maximum profit of #47572.28($239.19) per day or the unit profit on the medium bread and large bread must increase to #39474.87($198.48) and #37450.52($188.30) before it becomes economical to produce.},
     year = {2017}
    }
    

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    AU  - Raimi Oluwole Abiodun
    AU  - Adedayo Olawale Clement
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    JO  - American Journal of Operations Management and Information Systems
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    AB  - The paper examined the optimization of bread production in Rufus Giwa Polytechnic Bakery, Owo, Ondo State, Nigeria, using linear programming technique. Three types of bread produced by the bakery were considered in the research and which are medium bread (X1), large bread (X 2) and extra-large bread (X 3) respectively. Data were collected for four (4) weeks based on temperature per unit of production of the breads using a pocket infrared thermometer so as to know if there will be any deviation in the mode of operation but everything proved to be the same since the process follows a repetitive process of production. The data was analyzed using LINGO software version 15. The findings revealed that optimal solution was attained at X3=1.175 and Zmax  =47572.28. It is therefore recommended that the institution bakery should stop producing medium and large bread and produce 235pieces of extra-large bread only from 1.175unit (i.e. 1bag of flour) per day for them to make a maximum profit of #47572.28($239.19) per day or the unit profit on the medium bread and large bread must increase to #39474.87($198.48) and #37450.52($188.30) before it becomes economical to produce.
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