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MODEL SUMMARY AND RECOMMENDATIONS FOR FUTURE RESEARCH
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to environmental regulators and businesses. However, the majority of the research to date has several critical gaps including a focus on aggregate solid waste analyses for entire regions, not individual companies. In addition, most studies lack empirical support and rigorous statistical support speci cally related to waste generation performance. In this research, a survey was developed to gather data necessary to develop an integrated model to predict and evaluate solid waste generation rates of businesses and government agencies. The conclusions of this research were
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U.S. businesses can be grouped based on waste generation compositions (estab-
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lished 22 waste generating groups). Solid waste quantities of individual companies can be predicted and evaluated using statistical techniques and quality control concepts. Incentives for businesses to increase recycling levels can be effectively and ef ciently determined (in particular cost-bene ts). One important result from this research is the strong evidence that U.S. businesses and government agencies can be statistically grouped based upon business functions and waste stream compositions. Furthermore, the research identi ed the variables that signi cantly in uence solid waste quantities and should be monitored to predict and control generation rates. Variables that do not aid in the prediction of solid waste were also identi ed, such as ISO 9000 registration or location. The ndings of this research offer companies and regulators an effective means to improve environmental performance and allow them to predict and evaluate waste generation rates. Using the results of the research, companies can learn more about the strengths and weaknesses in their waste generation performance and assess their performance versus industry speci c benchmarks. The results of this study also can form a foundation for further research. Recommendations for further study include conducting a broader study with more data, incorporating an economic evaluation module into the environmental model, and further applying arti cial intelligence to improve the model.
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Part 4
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CASE STUDIES
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INTRODUCTION TO CASE STUDIES
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This part provides an in-depth analysis of the relevant solid waste generation characteristics and minimization tools for 21 industries and business sectors. The data were provided from the environmental model and survey discussed in Part 3. In addition to the data provided, a case study for each sector is also provided. Rather than focusing only on large samples and following a rigid protocol to examine a limited number of variables, the case study method presented in this chapter involves an indepth, longitudinal examination of single instances. They provide a systematic way of looking at the speci c waste generating industries, collecting data, analyzing information, and reporting the results. This will aid the readers in gaining a sharpened understanding of why the instance happened as it did, and what might become important to examine more extensively in terms of waste reduction goals in real-life instances. The case studies research multiple waste minimization examples in a broad cross section of industries. When selecting the case studies, information-oriented sampling, as opposed to random sampling was utilized. This was done because the typical or average case is often not the richest in information. Also, extreme or atypical cases were not included in this analysis. The industries examined in the case studies were determined based on the North American Industry Classi cation System (NAICS) and the U.S. Standard Industrial Classi cation (SIC) system. The NAICS replaced the SIC system and allows for a standardized categorization of businesses and provides an industry breakdown to evaluate the economy. NAICS was developed jointly by the United States, Canada, and Mexico to provide new comparability in statistics about business activity across North America. The U.S. Census Bureau conducts and prepares Economic Census pro les of American business every 5 years, from the national to the local level. At the time of the study, data for 2002 were available. The U.S. Census Bureau sent 2007 Economic Census forms to more than 4 million businesses in December 2007, asking for information about business activity during calendar year 2007. The forms were due back in February 2008. Follow-up is currently underway with businesses from which forms have not been received. Results will be published
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