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Applicable to Internet systems Discrete and con dential for U.S. businesses Waste monitoring and control tool Serves as an incentive for companies to increase recycling by calculating the potential cost bene ts from waste reduction

dense and therefore wants to float above denser air this provides a lifting force. Simple really!

The integrated environmental model and subsequent programs were utilized to facilitate the validation process and to conduct the case studies discussed in the next chapter.

Measurement Sales Cost of Goods Sold R&D Inventory SGA Expenses Profits Long-Term Debt Plant and Equipment Shareholders Equity Retained Earnings Total Assets

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Model Inputs Independent variables for the business or government agency to be analyzed (SIC code, number of employees, landfill disposal cost, ISO 14001 certification)

Model Processes Allocate business or government agency to one of the 20 significant waste groups based on the SIC code input (based on the waste characterization/ cluster analysis)

Waste Group 1 Predict annual solid waste generation tonnage (based on multivariable regression analysis)

of which is where does the energy come from to propel a vehicle all that distance through space One possible answer could come in the form of a solar sail (Figure 15-24).

Predict waste stream material tonnages (based on cluster analysis compositions percentages and regression analysis)

Dow 30 Average $58,114 33,044 2,045 4,928 8,977 4,350 16,015 19,226 25,167 22,505 $133,635

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Model Outputs Outputs for the business or government agency analyzed: Tonnage predictions for total annual waste generation Tonnage predictions for major annual waste stream components Annual solid waste performance parameters

This chapter discusses the validation and provides a demonstration of the integrated environmental model. Two case studies are discussed that demonstrate the application of the performance parameters. The process used to conduct the validation and demonstration of the model is listed below:

1 Collect additional data from existing sources to validate model outputs (a discus-

Space travel has long been a dream of futurists and science fiction lovers alike. However, traversing the voids of space presents a number of problems one

Low $13,234 3,455 203 105 1,276 1,204 0 1,903 2,894 3,484 $13,362

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sion of the additional data collected from the U.S. government and university solid waste programs is provided). 2 Apply the developed regression model using the additional data for several waste groups and conduct hypothesis tests of the regression coef cients at the 95 percent con dence level to validate the developed model regression coef cients. 3 Predict the annual solid waste generation of a business using the developed model and compare the results to actual data to demonstrate the developed model. 4 Conduct two case studies that establish performance parameters for annual waste generation and discuss ndings (one company in control and one out of control).

A total of 1173 additional solid waste records of U.S. businesses and government agencies were gathered from existing sources other than the research survey data. The waste records are de ned as annual solid waste tonnage and compositions as well as the independent variables required for the environmental model. These sources were not collected from the national survey used for this research, but from waste management of ces around the United States. The data sources were U.S. government (14 sources) and universities solid waste assessment programs (6 sources). An overview of the additional data

Arkansas Department of Pollution Control and Ecology Bradley University Industrial Assessment Center Carroll-Columbiana-Harrison Counties Cornell Waste Management Institute (CWMI) Darke-Marion County Solid Waste District Erie County Solid Waste District Fayette-Highland-Pickaway-Ross Counties Solid Waste District Florida Department of Environmental Protection Geauga-Trumbull Solid Waste District Green County Solid Waste District Hancock County Solid Waste District Indiana Institute on Recycling Mahoning County Solid Waste District Montgomery County Solid Waste District New Hampshire Department of Environmental Service The University of Toledo Waste Analyses and Minimization Research Project Warren County Solid Waste District West Virginia University Industrial Assessment Center Wisconsin Department of Natural Resources Youngstown State University Waste Minimization Research Project

Arkansas Peoria, IL Carrollton, Ohio Cornell University Marion, Ohio Sandusky, Ohio Chillicothe, Ohio Tallahassee, Florida Warren, Ohio Xenia, Ohio Findley, Ohio Indiana State University Youngstown, Ohio Dayton, Ohio New Hampshire Toledo, Ohio

High $217,799 171,562 5,290 22,614 32,173 15,320 121,631 89,602 81,247 95,718 $1,051,450

The sail shown in Figure 15-25 would be estimated to be half a kilometer across! Although the push provided by solar radiation is small, being harnessed over such a large area it is strong enough to provide propulsion.

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