U S I N G S T O C H A S T I C L I N E A R F R A C T I O N A L P R O G R A M M I N G F O R W A S T E M A N A G E M E N T (C A S E S T U D Y: Y A Z D C I T Y)
Author(s):
Abstract:
The purpose of implementing a sustainable waste management system to select the most appropriate options for waste disposal according to the environmental, social, and economical issues that lead to the optimization of the waste management system.
Yazd includes 3 residential area where waste generated by the citizens (people of the city)are carried to the landfill or recycling for processing or disposal.In order for a better operation of recycling facility, the waste is separated into two ways: separation in the beginning and separation at the end. Separation in the beginning means sending wastes directly to the recycling facility and separation at the end means sending waste to the recycling facilities from landfills location. Also, based on the conducted researchers, approximately 10% of the total waste input at recycling facilities is sent to the landfills as a whole.
In this research we have tried to use Zho & Hung model and their associates concerning the application of stochastic linear fractional programming to waste management discussion. This model can help us solve the predicament in which the objective function is formed by two different amounts of ratio and the right-hand of limitations which is random. Regarding the dates and results of solving stochastic linear fractional programming model by using Lingo software, it is concluded that stochastic programming model has higher efficiency and cost than cost-based mode. So if the main purpose is efficiency it is better to use stochastic programming model: if the main purpose is to decrease cost, chance-constrained programming model is better and practical, because this model minimize the cost. This model has highly sensitive to income parameters obtained from recycling. By increasing income, performance is transferred to a higher level and if it decreases, the difference between stochastic programming model and chance-constrained programming (by the purpose of minimizing cost) decreases.
Yazd includes 3 residential area where waste generated by the citizens (people of the city)are carried to the landfill or recycling for processing or disposal.In order for a better operation of recycling facility, the waste is separated into two ways: separation in the beginning and separation at the end. Separation in the beginning means sending wastes directly to the recycling facility and separation at the end means sending waste to the recycling facilities from landfills location. Also, based on the conducted researchers, approximately 10% of the total waste input at recycling facilities is sent to the landfills as a whole.
In this research we have tried to use Zho & Hung model and their associates concerning the application of stochastic linear fractional programming to waste management discussion. This model can help us solve the predicament in which the objective function is formed by two different amounts of ratio and the right-hand of limitations which is random. Regarding the dates and results of solving stochastic linear fractional programming model by using Lingo software, it is concluded that stochastic programming model has higher efficiency and cost than cost-based mode. So if the main purpose is efficiency it is better to use stochastic programming model: if the main purpose is to decrease cost, chance-constrained programming model is better and practical, because this model minimize the cost. This model has highly sensitive to income parameters obtained from recycling. By increasing income, performance is transferred to a higher level and if it decreases, the difference between stochastic programming model and chance-constrained programming (by the purpose of minimizing cost) decreases.
Keywords:
Language:
Persian
Published:
Industrial Engineering & Management Sharif, Volume:33 Issue: 1, 2017
Pages:
3 to 12
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