Development of a Fuzzy-Queue-Based Interval Linear Programming Model for Municipal Solid Waste Management

摘要

In this study, a fuzzy-queue-based interval linear programming (FQ-ILP) model was first developed throughnintroducing FQ model into an ILP framework. The FQ-ILP model can not only address system uncertaintiesnwith complex presentations, but also reflect the influence of FQ in decision-making problems. Moreover,nit can be used for analyzing various policy scenarios that are associated with different waiting costs, fuzzynwaiting times, and different operation costs. The method has been applied to a typical case study areanfor long-term municipal solid waste management planning. Interval solutions associated with fuzzy arrivalnrate, fuzzy service rate, and different waiting costs have been generated. They can be further usednfor generating decision alternatives and thus help waste managers to identify desired policies under variousnenvironmental, economic, and fuzzy queuing problems. Compared with the conventional optimizationnmethods, the developed FQ-ILP model can more actually reflect the complexity of municipal solidnwaste management systems and provide more useful information for decision makers under uncertainty,nresulting in increased system robustness. Results also suggest that the proposed method is applicablento other environment problems that involve uncertainties presented in multiple formats in the queuingnmodels.