Linear programming model for optimum mixing the flour from sieve passages in flour mill industry
Article Sidebar
Main Article Content
Abstract
This study is to design a linear programming model for optimising the mixtures of flour which comes from different sieve passages in flour mill industry. There are different kinds of flour in the market which have different market prices and each has different properties and used for different purposes. The flour obtained from the sieve passages which can be more than 100 in flour milling factories. The characteristics of flour in each sieve passage are different. The main problem is to find out flour mixture plan from sieve passages of the factory in order to maximise the company sales revenue by taking into account the market demand for flour, market prices of flour, sieve passage flour flows and each sieve passage flour properties. In this study, a linear programming model has been developed to support the decision makers for sieve passage flour mixtures optimisation.
Keywords: Linear programming, flour mill ındustry, sieve passage, flour mixture optimisation.
Downloads
Article Details
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).