A multi-period model for optimal planning of an integrated, resource-efficient rice mill

Abstract Rice is one of the world's most important staple foods. Previous studies have focused on the yield improvement for an individual rice mill. There is a need to develop a framework to address the multitude of variables influencing the design of a rice mill complex, which include fluctuating thermal and electrical energy demands, diverse energy supply options, fluctuating product demands, resource availability and product degradation. The objective of this study is to develop a framework for the optimal design and planning of the product portfolio and processing route of an integrated, resource-efficient (IRE) rice mill complex. The objective function is to maximise the profitability of the rice mill by using the developed multi-period mathematical model. Sensitivity analysis was performed on the case study to evaluate the impact of fluctuating product demands, product prices and electricity cost on the production throughput, process configuration and profitability of the IRE rice mill complex.

[1]  F. Andreola,et al.  Effect of rice husk ash (RHA) in the synthesis of (Pr,Zr)SiO4 ceramic pigment , 2007 .

[2]  G. Gregorio,et al.  Iron-biofortified rice improves the iron stores of nonanemic Filipino women. , 2005, The Journal of nutrition.

[3]  M. Alizadeh,et al.  Optimization of enzymatic degumming process for rice bran oil using response surface methodology , 2008 .

[4]  M. A. Mujeebu,et al.  Husk-Fueled Steam Turbine Cogeneration for a Rice Mill with Power Export—A Case Study , 2011 .

[5]  T. Kahlon.  Rice Bran: Production, Composition, Functionality and Food Applications, Physiological Benefits , 2009 .

[6]  Christos A. Frangopoulos,et al.  Operation optimization of an industrial cogeneration system by a genetic algorithm , 1997 .

[7]  C. Zetzl,et al.  A process line for the production of raffinated rice oil from rice bran , 2005 .

[8]  Takeo Shiina,et al.  Effect of processing conditions on overall energy consumption and quality of rice (Oryza sativa L.) , 2008 .

[9]  Yiping Dai,et al.  Exergy analyses and parametric optimizations for different cogeneration power plants in cement industry , 2009 .

[10]  R. L. Evans,et al.  Optimization of a wood-waste-fuelled, indirectly fired gas turbine cogeneration plant , 1996 .

[11]  Hoseyn Sayyaadi,et al.  Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system , 2009 .

[12]  G. Khush.  What it will take to Feed 5.0 Billion Rice consumers in 2030 , 2005, Plant Molecular Biology.

[13]  Scott Rozelle,et al.  Rice in the Global Economy: Strategic Research and Policy Issues for Food Security , 2010 .

[14]  Thananchai Leephakpreeda,et al.  Fluidized bed paddy drying in optimal conditions via adaptive fuzzy logic control , 2006 .

[15]  Guangnan Chen,et al.  Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying , 2009 .

[16]  A. E. Ghaly,et al.  Thermal degradation of rice husks in nitrogen atmosphere , 1998 .

[17]  Eva Thorin,et al.  Long-term optimization of cogeneration systems in a competitive market environment , 2005 .

[18]  K. Koba,et al.  Health benefits of rice bran oil. , 1999, Anticancer research.

[19]  C. Arumughan,et al.  Phytochemical characterization of defatted rice bran and optimization of a process for their extraction and enrichment. , 2007, Bioresource technology.

[20]  Sharifah Rafidah Wan Alwi,et al.  Optimal Design of a Rice Mill Utility System with Rice Husk Logistic Network , 2012 .

[21]  R. Jariwalla.  Rice-bran products: phytonutrients with potential applications in preventive and clinical medicine. , 2001, Drugs under experimental and clinical research.

[22]  S. Songsermpong,et al.  The effects of freeze, dry, and wet grinding processes on rice flour properties and their energy consumption , 2011 .

[23]  W. Martin,et al.  Implications of Higher Global Food Prices for Poverty in Low-Income Countries , 2008 .

[24]  T. K. Goswami,et al.  Modelling and optimization of drying variables in thin layer drying of parboiled paddy , 2007 .

[25]  Christianne E. C. Rodrigues,et al.  Optimization of the rice bran oil deacidification process by liquid–liquid extraction , 2006 .