IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/98226.html
   My bibliography  Save this paper

Application of linear programming in production planning

Author

Listed:
  • Solaja, Oluwasegun Abraham
  • Abiodun, Joachim Abolaji
  • Abioro, Matthew Adekunle
  • Ekpudu, Jonathan Ehimen
  • Olasubulumi, Olajide Moses

Abstract

Optimum utilization of limited resources in the production floor demands that the production manager makes decisions on the best allocation of limited resources. Linear programming techniques are applied in this study to a production planning problem in a feed mill producing company. The linear Programming model was formulated based on data obtained from the company operations’ diary. Data was processed with the help of Management Scientist Version 5.0. The study reveals improved profit through streamlining of the product range and cutting off the less productive products. This suggests the company may adopt the outcome of the linear programming techniques in production planning to improve monthly profit. This study has shown that linear programming techniques are powerful tools that can be of help to managers in decision making and allocation of limited resources and indicate operations and profit improvement.

Suggested Citation

  • Solaja, Oluwasegun Abraham & Abiodun, Joachim Abolaji & Abioro, Matthew Adekunle & Ekpudu, Jonathan Ehimen & Olasubulumi, Olajide Moses, 2019. "Application of linear programming in production planning," MPRA Paper 98226, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:98226
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/98226/8/MPRA_paper_98226.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sulaimon Olanrewaju Adebiyi & Bilqis Bolanle Amole & Ismail Oladimeji Soile, 2014. "Linear Optimization Techniques for Product-Mix of Paints Production in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 1(1), pages 181-190, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      Production; Optimization; Planning; Feed; Linear Programming.;
      All these keywords.

      JEL classification:

      • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
      • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

      NEP fields

      This paper has been announced in the following NEP Reports:

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:98226. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.