Based on the target analysis of the operation optimization for power plants, a novel system scheme called operation optimization decision support system (OODSS) is brought forward. According to the structure and desig...Based on the target analysis of the operation optimization for power plants, a novel system scheme called operation optimization decision support system (OODSS) is brought forward. According to the structure and design thinking of decision support system (DSS), the overall structure of the OODSS is studied, and the scheme of the sub systems in the OODSS such as the user interface system, the problem processing system, the database system, the model base system, the expert system (ES) and the data mining sy...展开更多
This paper presents a case study that demonstrates how models can be used to support water management decisions before sufficient data to verify the model are available. In developing areas, and for new reservoirs, ex...This paper presents a case study that demonstrates how models can be used to support water management decisions before sufficient data to verify the model are available. In developing areas, and for new reservoirs, extensive data for model calibration and validation are often not available. As a case study we developed a CE-QUAL-W2 model of Aguamilpa Reservoir using minimal data and used the model to create a data acquisition plan to support early planning decisions. We based the model on a two-year period and compared the model results to data recently collected with our acquisition plan. We present how we developed and used the model to design the data acquisition plan which identifies and collects data to update and calibrate the model to support future decisions. We show that a minimally calibrated model based on scarce data can support management decisions and be the first step in a spiral engineering approach to system management. Spiral engineering uses models and data to both support early decisions and to iteratively improve this information to support subsequent decisions and models. This case study can be used as a guide for developing water quality models with minimal data and uses the models to support early decision requirements.展开更多
The authors analyze a finite horizon,single product,period review model in which pricingand inventory decisions are made simultaneously.Demands in different periods are random variablesthat are independent of each oth...The authors analyze a finite horizon,single product,period review model in which pricingand inventory decisions are made simultaneously.Demands in different periods are random variablesthat are independent of each other and their distributions depend on the product price.Pricing andordering decisions are made at the beginning of each period and all shortage are backlogged.Orderingcost is a convex function of the amount ordered.The objective is to find an inventory and pricing policymaximizing expected discounted profit over the finite horizon.The authors characterize the structure ofthe optimal combined pricing and inventory strategy for this model.Moreover,the authors demonstratehow the profit-to-go function,order up to level,reorder point and optimal price change with respectto state and time.展开更多
文摘Based on the target analysis of the operation optimization for power plants, a novel system scheme called operation optimization decision support system (OODSS) is brought forward. According to the structure and design thinking of decision support system (DSS), the overall structure of the OODSS is studied, and the scheme of the sub systems in the OODSS such as the user interface system, the problem processing system, the database system, the model base system, the expert system (ES) and the data mining sy...
文摘This paper presents a case study that demonstrates how models can be used to support water management decisions before sufficient data to verify the model are available. In developing areas, and for new reservoirs, extensive data for model calibration and validation are often not available. As a case study we developed a CE-QUAL-W2 model of Aguamilpa Reservoir using minimal data and used the model to create a data acquisition plan to support early planning decisions. We based the model on a two-year period and compared the model results to data recently collected with our acquisition plan. We present how we developed and used the model to design the data acquisition plan which identifies and collects data to update and calibrate the model to support future decisions. We show that a minimally calibrated model based on scarce data can support management decisions and be the first step in a spiral engineering approach to system management. Spiral engineering uses models and data to both support early decisions and to iteratively improve this information to support subsequent decisions and models. This case study can be used as a guide for developing water quality models with minimal data and uses the models to support early decision requirements.
基金supported by the National Natural Science Foundation of China under Grant Nos.70621061,70671100,70501014Beijing Philosophy and Social Science, Research Center for Beijing Transportation Development
文摘The authors analyze a finite horizon,single product,period review model in which pricingand inventory decisions are made simultaneously.Demands in different periods are random variablesthat are independent of each other and their distributions depend on the product price.Pricing andordering decisions are made at the beginning of each period and all shortage are backlogged.Orderingcost is a convex function of the amount ordered.The objective is to find an inventory and pricing policymaximizing expected discounted profit over the finite horizon.The authors characterize the structure ofthe optimal combined pricing and inventory strategy for this model.Moreover,the authors demonstratehow the profit-to-go function,order up to level,reorder point and optimal price change with respectto state and time.
