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This chapter discusses the process utilized to determine the signi cant variables that in uence annual solid waste quantities for the individual businesses within each of the 22 waste groups determined from the cluster analysis. The cluster analysis provided the SIC code numbers that were grouped into the 22 waste groups. A discussion and analysis of the results are also provided. A three-step process was utilized and it is listed below:

Sometimes, on a hot sunny day, the black tarmac can almost seem painful to walk on barefoot as it is so hot. If you keep moving, your feet feel fine; however, if you stand in the same place for the same time, your feet feel very uncomfortable. This is because the tarmac road surface has the ability to act as a thermal mass and store heat. If you were to stand on say a flimsy piece of black card that had been left in the sun, it would feel warm to the touch; however, you would find that as soon as you stood on it, the heat would be quickly dissipated the card doesn t have the ability to store the heat. So, if we want to cook an egg on a sunny day . . . Take a peek at Figure 6-5 for the ridiculously simple method. Take a frying pan, put it on a black tarmac surface on a hot sunny day, put a drop of oil in the pan and cover the frying pan for a while with a sheet of glass. The pan is black, the tarmac is black and so will have absorbed the sun s energy. All of this heat via one process or another will transfer to the oil, and pretty soon you should have hot oil. Now crack an egg, and you will find that it cooks once again cover the pan with a sheet of glass. Of course, this trick requires the right sort of day don t expect fried egg on a cloudy day in

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1 Prepare and consolidate the waste records for the 22 selected waste groups for step-

wise regression. 2 Perform stepwise regression analysis on the 22 waste groups (using Minitab). 3 Determine the signi cant variables for the 22 waste groups that in uence solid waste quantities using t-tests and F-tests at the 95 percent con dence level. The remainder of this chapter discusses an overview of the data, multivariable stepwise regression methodology, and the ndings from the analysis.

At least they think so! In the current business environment, the supply chain relationship plays a critical role in the success of a company; employees, however, have limited interaction with their suppliers Supplier relationships have become very important as businesses become increasingly dependent on their suppliers These employees know what they are supposed to do, but they have a difficult time figuring out how well they are doing Whether they are in engineering, sales, purchasing, production, quality, or another department, they do not have measures of performance for the various aspects of their jobs They believe that their company has measurements for the short term but does not care about long-term performance They have measurements about the function of the company, but they do not have the measurements about the company s strategic intent.

The rst step in the signi cant variable analysis was to prepare and understand the data. The waste records for each of the 22 waste groups determined from the multivariate cluster analysis were consolidated and initially analyzed to determine basic comparison statistics. Speci cally, the following items were calculated for each of the 22 waste groups and are displayed in Table 16.1.

TABLE 16.1 DATA UTILIZED TO DETERMINE ANNUAL SOLID WASTE QUANTITIES FOR INDIVIDUAL COMPANIES FOR THE 20 WASTE GROUPS (SORTED BY AVERAGE WASTE PER COMPANY)

The following link is a great solar cooker site written specifically for younger kids. pbskids.org/zoom/activities/sci/solarcookers.html

262 ABB. NUMBER OF COMPANIES ANALYZED AVERAGE SOLID WASTE PER COMPANY PER YEAR (TONS) AVERAGE NUMBER OF EMPLOYEES PER COMPANY AVERAGE SOLID WASTE PER EMPLOYEE PER YEAR (TONS)

Employees are unaware of the competitive position of their products and services, mission and values, and results achieved In summary, employees feel good about their products and services; however, they are not informed of the performance levels expected or what rate of improvement they are supposed to achieve..

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