SLFP: A stochastic linear fractional programming approach for sustainable waste management

• Published in: Waste management (Elmsford) Vol. 31; no. 12; pp. 2612 - 2619
• Main Authors: Zhu, H., Huang, G.H.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.12.2011; Elsevier
• Subjects: Algorithms; ALLOCATIONS; Applied sciences; Chance-constrained programming; Cities; COMPARATIVE EVALUATIONS; COST; Dealing; Decision Support Techniques; EFFICIENCY; Environment; EVALUATION; Exact sciences and technology; General treatment and storage processes; HAZARDS; Linear fractional programming; MANAGEMENT; MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; OPTIMIZATION; Other wastes and particular components of wastes; Pollution; PROBABILITY; PROGRAMMING; RANDOMNESS; Refuse Disposal - methods; RELIABILITY; Risk; Solid waste management; SOLID WASTES; Stochastic; STOCHASTIC PROCESSES; Stochasticity; Sustainability; Uncertainty; Urban and domestic wastes; WASTE MANAGEMENT; Waste Management - economics; Waste Management - methods; WASTES; Environment; Chance-constrained programming; Stochastic; Solid waste management; Sustainability; Linear fractional programming; Waste management; Uncertainty; Urban waste; Solid waste; Probability distribution; Reliability; Optimization

► A new fractional programming (SLFP) method is developed for waste management. ► SLFP can solve ratio optimization problems associated with random inputs. ► A case study of waste flow allocation demonstrates its applicability. ► SLFP helps compare objectives of two aspects and reflect system effici...