Industrialization INDEX

The Marshall and Swift (M S) Equipment Cost Index (6), formerly Marshall and Stevens, for installed equipment costs is pubHshed monthly in the ChemicalPngineering]om n. A. The indexes reported are the all-industries, process industries, and several specific industry indexes. The yearly all-industries index, given in Table 1, is based on 47 industrial categories. This is commonly used for the translation of purchased process equipment costs, even though... 

The Marshall and Swift indexes are based on an index value of 100 for the year 1926. These indexes take into consideration the cost of machinery and major equipment plus costs for installation, fixtures, tools, office furniture, and other minor equipment. All costs reported in this text are based on a Marshall and Swift all-industry index of 904 as reported for January 1, 1990 unless indicated otherwise. 

Solution. If Eq. (8) is used with a 0.6 power factor and the Marshall and Swift all-industry index (Table 3), the fixed-capital investment is... 

Interestingly, in a comparison of excellent companies with those that perform less well (in terms of their capital market performance), the excellent companies achieved superior returns for shareholders not by avoiding bad years, but rather by achieving really good years - that is, years in which they statistically outperformed the industry index by a significant margin - more than three times as often as the average companies. 

Two major characteristics of the electrochemical industry index are apparent ... 

The index fell relatively more than the index for all commodities except farm products and foods during the most recent period. Between 1960 and 1963, the all commodity—except farm index—fell from 101.3 to 100.7, whereas the electrochemical industry index fell from 102.7 to 98.8. 

All of the components fluctuate more than the all commodity except farm index. In addition, there is a strong positive correlation between the movements of all three components of the electrochemical industry index. 

The assembly used for the corrosivity measurements consists of preweighed 1100 aluminum wire fastened to and tightly wound on threaded lengths of steel, copper, and nylon. Figure 3 shows a completed assembly. The details of preparation are given in ASTM G 116. The data derived fiom the individual wire-hoh combinations are used to develop corrosion indices the aluminum-nylon results reflect the general atmospheric corrosion (ACI), the aluminum-steel the marine index (MCI), and the aluminum-copper the industrial index (ICI). 

Sulfuric acid production was for decades the industrialization index of any country due to its use for the production of a number of chemicals from dyes to explosives. The first method available was the lead chambers by Rosenbrock in 1746. The need for more concentrated sulfuric acid improved the process with the addition of the Gay-Lussac Tower in 1835 and the Glover tower in 1859. However, the concentration of sulfuric acid, around 60%, was not enough for the growing ch ical industry. Thus, the contact method was developed based on heterogeneous catalysis. The method consists of obtaining SO2 from sulfur or pyrite by burning them. The next stage involves the equilibrium ... 

Nonmetallic Mineral Products Industry Indexes http //minerals.usgs.gov/minerals/pubs/ imii/ (accessed July 11, 2010). The USGS has prepared leading and coincident indexes for the Nonmetallic Mineral Products Industry (NAICS 327). The former name for this industry was the Stone, Clay, Glass, and Concrete Products Industry (SIC 32) under the Standard Industrial Classification (SIC) system. The SIC has been replaced by the North American Industry Classification System (NAICS). These indexes are similar to the ones in Metal Industry Indicators. The latest report for these indexes, November 2004, is available in PDF format. Historical data for these new indexes are available back to 1948. See also the section on Statistics for a discussion on the Statistical Compendium (U.S. Bureau of Mines) and the USGS Commodity Statistics and Information. 

There are many occurrences in which a decision maker is required to express his beliefs about a known quantity (e.g., the value of the Dow-Jones Industrial Index on a particular day), in the form of a probability distribn-tion. Such a distribution is usually obtained by asking the decision maker to select values of the quantity that correspond to specified percentiles of his subjective probability distribution. Tests have shown that decision makers do not properly calibrate their selections. 

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