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
Volume 2, Issue 2, May 2017, Pages: 32-36
Received: Oct. 30, 2016; Accepted: Dec. 30, 2016; Published: Jan. 21, 2017
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Raimi Oluwole Abiodun, Postgraduate Research Student at the Department of Mechanical Engineering, Federal University of Technology, Akure, Nigeria
Adedayo Olawale Clement, Department of Banking and Finance, Rufus Giwa Polytechnic, Owo, Nigeria
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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.
Linear Programming Technique, Bread Production, Optimization, Bakery, Ondo State
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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, American Journal of Operations Management and Information Systems. Vol. 2, No. 2, 2017, pp. 32-36. doi: 10.11648/j.ajomis.20170202.11
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