Abstract
The proposed study was carried out at Pahrianwali Sugar Mills, Lalian District Jhang. Data was collected for sugar lost and moisture content in bagasse at different milling parameters like mills settings, cane imbibition, hydraulic pressure on top rollers of the mills and index of cane preparation separately. This data was used to develop constraint equations for linear programming model. An objective function of linear programming (LP) model was also developed to minimize the cost of steam production and sugar lost in bagasse. Quantitative System Business (QSB) software was used to solve the linear programming model. The results of the LP model indicated an optimum cane crushing capacity of 5000 tons/day for mill setting of 58.3 mm against a hydraulic pressure of 0.225 x 103 kg/cm2 to earn maximum profit of Rs. 58312/hr. Key words: Sugar mill, linear programming, mill setting, imbibition, bagasse
