A queuing-theory-based interval-fuzzy robust two-stage programming model for environmental management under uncertainty

作者：Sun Y; Li Y P^*; Huang G H

来源：Engineering Optimization, 2012, 44(6): 707-724.

DOI：10.1080/0305215X.2011.604317

• decision making
• environment
• fuzzy robust
• management
• queuing theory
• two-stage
• stochastic analysis
• uncertainty

In this study, a queuing-theory-based interval-fuzzy robust two-stage programming (QB-IRTP) model is developed through introducing queuing theory into an interval-fuzzy robust two-stage (IRTP) optimization framework. The developed QB-IRTP model can not only address highly uncertain information for the lower and upper bounds of interval parameters but also be used for analysing a variety of policy scenarios that are associated with different levels of economic penalties when the promised targets are violated. Moreover, it can reflect uncertainties in queuing theory problems. The developed method has been applied to a case of long-term municipal solidwaste (MSW) management planning. Interval solutions associated with different waste-generation rates, different waiting costs and different arriving rates have been obtained. They can be used for generating decision alternatives and thus help managers to identify desired MSW management policies under various economic objectives and system reliability constraints.

• 出版日期2012
• 单位华北电力大学