Comparison of Flour Mill Stream Blending Approaches: Linear Programming vs Ash Curve

2021 ◽  
Author(s):  
John Kalitsis ◽  
Budiman Minasny ◽  
Ken Quail ◽  
Alexander McBratney
Author(s):  
Huseyin Avunduk

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.


1997 ◽  
Vol 48 (7) ◽  
pp. 757-758
Author(s):  
B Kolman ◽  
R E Beck ◽  
M J Panik
Keyword(s):  

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1447-1452
Author(s):  
Vincent Mazauric ◽  
Ariane Millot ◽  
Claude Le Pape-Gardeux ◽  
Nadia Maïzi

To overcome the negative environemental impact of the actual power system, an optimal description of quasi-static electromagnetics relying on a reversible interpretation of the Faraday’s law is given. Due to the overabundance of carbon-free energy sources, this description makes it possible to consider an evolution towards an energy system favoring low-carbon technologies. The management for changing is then explored through a simplified linear-programming problem and an analogy with phase transitions in physics is drawn.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 165-172
Author(s):  
Dongge Deng ◽  
Mingzhi Zhu ◽  
Qiang Shu ◽  
Baoxu Wang ◽  
Fei Yang

It is necessary to develop a high homogeneous, low power consumption, high frequency and small-size shim coil for high precision and low-cost atomic spin gyroscope (ASG). To provide the shim coil, a multi-objective optimization design method is proposed. All structural parameters including the wire diameter are optimized. In addition to the homogeneity, the size of optimized coil, especially the axial position and winding number, is restricted to develop the small-size shim coil with low power consumption. The 0-1 linear programming is adopted in the optimal model to conveniently describe winding distributions. The branch and bound algorithm is used to solve this model. Theoretical optimization results show that the homogeneity of the optimized shim coil is several orders of magnitudes better than the same-size solenoid. A simulation experiment is also conducted. Experimental results show that optimization results are verified, and power consumption of the optimized coil is about half of the solenoid when providing the same uniform magnetic field. This indicates that the proposed optimal method is feasible to develop shim coil for ASG.


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