Production statistics traditional

As a crop plant, the Jerusalem artichoke has languished behind most traditional crop species. Its production worldwide is not considered sufficient to be monitored by the Food and Agriculture Organization (FAO) in its annual production statistics of agricultural crops. Lack of production in the past is in part due to the fact that uses for the crop could be readily fulfilled by other species. As indicated, however, periodic surges in production have been common. For example, during, and for a period after, the Second World War production of Jerusalem artichoke increased in Europe,... 

In years past, broadly available capabilities never seemed to match the visions proffered, especially in terms of the time frame of their availability. Consequently, despite these compelling predictions, traditional methods of information access and utilization continued their dominance. As a result of this, comments something hke computers are appearing everywhere except in productivity statistics have often been made (Brynjolfsson and Yang 1996). In just the past few years, the pace has quickened quite substantially, and the need for integration of information technology issues with organizational issues has led to the creation of related fields of study that have as their objectives ... 

The following characterization of starch crops describes maize, potatoes, wheat, and other cereals in more detail. Another significant source for starch is rice. However, cultivation is both technically and traditionally concentrated in Asia, so rice is mainly imported into Europe as food and so far does not play a role as renewable raw material (for rice straw, see Section 4.2.2.4). Table 4.3 gives an overview for selected starch crops in terms of characteristics and production statistics. 

Prequency and size of broth fills must be clearly defined. The size of fill is usually based upon the statistical probability of detecting an acceptably low incidence of microbial contamination. Tables have been published to this effect [4], but the BPS operator has to decide both size and frequency of broth fills based upon their speeifie facility, routine product batch sizes, and operation. Por high speed BPS maehines used for filling routine produet batehes in excess of 100,000 units, broth fill batehes larger than traditional aseptic filling lines are both feasible and appropriate. 

The traditional approach to quality control is to generate charts of various kinds to monitor the performance of a production unit. At a superficial level, statistical process control (SPC) and statistical quality control (SQC) [9] are terms used interchangeably to describe traditional... 

The last twenty years of the last millennium are characterized by complex automatization of industrial plants. Complex automatization of industrial plants means a switch to factories, automatons, robots and self adaptive optimization systems. The mentioned processes can be intensified by introducing mathematical methods into all physical and chemical processes. By being acquainted with the mathematical model of a process it is possible to control it, maintain it at an optimal level, provide maximal yield of the product, and obtain the product at a minimal cost. Statistical methods in mathematical modeling of a process should not be opposed to traditional theoretical methods of complete theoretical studies of a phenomenon. The higher the theoretical level of knowledge the more efficient is the application of statistical methods like design of experiment (DOE). 

Nine factors that influence the choice of themes can be identified in the interviews experience, the media, unfortunate developments, special commissions from the Government, budget documents, production of statistics, tips from other authorities, tradition and annual activity plans. The choice of inspection objects is influenced by eight corresponding factors random sampling, what you can find, geographical site, hearsay, long time ago, piecework, self-prioritisation and previous problem kids.2... 

Trend analysis of results at individual sample locations may be more useful than statistical analysis of data summaries because each sampling location probably reflects a unique situation. Non-traditional groupings of data may also be valuable. For example, grouping all locations where a specific activity was noted on the sample collection form, grouping all data collected during a specific time frame (i.e., just after lunch, or near the end of a production cycle), or grouping all data for each operator may reveal specific problem areas. 

---