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Signi cant research was conducted at the University of Toledo regarding solid waste estimation. This research provided valuable insights into the nature of solid waste generation of individual companies. From 1996 through August of 2002 the Environmentally Conscious Design and Manufacturing Lab (ECDML) located at the University of Toledo, College of Engineering has conducted 24 solid waste assessments for manufacturing and service companies in Lucas County, Ohio. The largest research project at the ECDML was the Waste Minimization Research Project, which provides no-cost solid waste assessments to businesses operating in Lucas County. The purpose of the waste assessments was to quantify waste streams by annual weight and composition and to provide economical solutions to reduce, reuse, or recycle components of the waste stream. The companies surveyed included a broad range from manufacturing to hospitals. This section discusses the methodology utilized to conduct the waste assessments, the bene ts and drawbacks of this data for this research, and a brief overview of the data. The ECDML solid waste assessment data was used as the

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To improve on RPC, two paths have been taken. The first method involves distributed objects, also known as Object Request Broker (ORB), and the second method involves asynchronous messaging. The distributed objects approach focuses on code reuse and language independence, whereas asynchronous messaging addresses the problem of tight coupling between applications. We discuss the distributed objects (or ORBs) approach in the next chapter because it is more closely aligned with RPC. ORB essentially takes the encapsulation of all system-level calls into a library a step further by making this a separate software component (or executable). Today, most of the application servers such as WebSphere, WebLogic, and JBoss are based on ORB technology.

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stronger predictor. This is logical because ISO 14001 is an environmental quality system and ISO 9000 is a general quality system. Finally, the recycling level of a company also did not signi cantly in uence the quantity of solid waste generated (before subtracting recyclables). Research results indicated the recycling level was positively correlated with disposal cost per ton and positively correlated with ISO 14001 certi cation. Cost per ton to dispose and ISO 14001 certi cation had stronger in uences on the quantity of solid waste and were included in the equations. The correlation of recycling level forced this variable out in favor of cost per ton to dispose and ISO 14001 certi cation. Table 16.15 and Fig. 16.16 display the correlation of the recycling level of a company to the cost to dispose for the wood and lumber manufacturing waste group. Table 16.16 and Fig. 16.17 display the correlation of the recycling level of the company to whether or not the company is ISO 14001 certi ed for the wood and lumber manufacturing waste group. These results were typical for other groups.

Fourteen Parameters of an identi erBag Description This parameter is mandatory and points to a tModel. For example, the distinct tModel represents the DUNS or GLN identi er system. The keyName is a human-readable form of the identi er system plus the business entity. This parameter is also mandatory and contains the identi er according to the selected identi er system.

0.5 0.45 Overall recycling level 0.4 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 0 10 20 30 40 Landfill disposal cost ($/ton) 50 60