Optimal Municipal Solid Wastes Management with Uncertainty Characterization Using Fuzzy Theory

  • Nekram Rawal
  • Raj Mohan Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 202)


There is an increasing concern by environmental managers and planners to follow a sustainable approach to municipal solid waste management (SWM) and to integrate strategies that will produce the comprehensive optimal practicable option. The selection of a suitable SWM process is driven by the type of waste source and quality of waste produced. This study demonstrates application of optimization based methodology that would facilitate optimal management of collection and transportation of solid waste in urban cities. Uncertainty in solid waste management due to uncertain amount of solid wastes is characterized using fuzzy logic. Uncertainty analysis result shows that uncertainty in the optimal waste management (in terms of total optimal cost) is approximately 1.5 times uncertainty in waste amount.


Municipal solid waste (MSW) Optimization formulation Landfills Fuzzy logic and uncertainty characterization 


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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Department of Civil EngineeringMotilal Nehru National Institute of TechnologyAllahabadIndia

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