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When lumping the eight manufacturing groups, detail was lost and land ll disposal costs (t = 1465) and ISO 14001 Certi cation (t = 1907) were no longer signi cant at the 95 percent con dence level Also the coef cient of determination was only 30 percent, indicating the relationship is poor An ANOVA analysis on waste groups with three signi cant variables based on average waste per company using Bonferroni paired t-tests was conducted to examine differences between the eight manufacturing waste groups Bonferroni paired t-tests is an approach for adjusting the selected alpha level to control the overall Type I error rate (Hair et al, 1998) The Type I error rate is also known as a false positive or the error of rejecting the null hypothesis when it is actually true.

This procedure involves computing the adjusted rate as alpha divided by the number of statistical tests to be performed and then using the adjusted rate as the critical value in each separate test Table 1612 shows the data used for this analysis..

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To achieve dramatic improvement in performance, awareness training must be conducted with all employees to establish a common base of understanding of performance expectations Employees have the potential to produce expected results once they understand the direction from the leadership and their roles in achieving corporate success The main distractions in achieving corporate success are conflicting priorities and hidden agendas Corporate leaders must clarify the importance of a corporate strategy and the role of the Six Sigma Business Scorecard in achieving results Data integrity at all critical processes, timely interpretation, and reaction when necessary are critical to maintain and improve process performance Performance levels, trends, and patterns and their significance are important components of data analysis During the analysis, if one unsatisfactory incidence of performance is noted, it might be attributed to data inaccuracy, human error, or chance error.

Organizations can save money by diverting solid waste streams from the land ll back to the company through reuse or to an off-site recycler. The monetary savings are derived from no longer paying a waste hauler to remove the trash and dispose of it at the land ll. Recycling revenue. Substantial additional revenue can be earned by selling recyclables to third-party processors or recycling commodity brokers. For example, 1 ton of baled cardboard sells for $100 to $180 on the market. Reduced raw material costs. When an organization is able to utilize in-process or on-site recycling they reduce their raw material needs directly by replacing virgin material purchases with in-house scrap, rework, or process by-products. Reduced energy costs. By reducing the amount of materials within a facility through reduction and reuse, material-handling costs can be minimized. Increased sales. Many consumers and businesses look favorably on organizations that are environmentally conscious and purchase products or services from them. Increased productivity. As workers are engaged in efforts that they see as meaningful, many of them take pride and put additional efforts into their work. In addition, absenteeism may reduce as well.

The following case study highlights several typical nancial bene ts associated with waste minimization. This case study involves an automobile battery manufacturer that

employs 430 employees and produces approximately 20,000 batteries per day. At the time of the study the company was recycling over 76 percent of its solid waste. The solid waste minimization audit found that an additional 221 tons of solid waste could be recycled per year, saving the company over $62,000 annually. Table 1.1 highlights the existing recycling and the savings by waste stream.

If two unacceptable data points exist, they represent a potential for change and indicate that the process needs some adjustment However, if three data points are unacceptable, process change for one or more patterns is required Therefore, the rule of thumb for interpreting data is this: One error is a point that can happen randomly, two errors create a line that sets a direction, and three points indicate a pattern that shows a behavior; one is a go (green), two are a caution.

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