By Jett Alcock at January 11 2019 23:49:36
In the last few years a lot has been written about Business Process Management, and about technologies supporting it such as BPMS, SOAP and Web Services. Most of these theories, tools and techniques refer to processes of a highly structured nature. Typically, BPM theorists and practitioners have focused on highly structured processes, like back-office processes of industrial or administrative nature. These processes are highly standardized and repeatable, produce a consistent output and are likely to be automated in part or end-to-end (STP).
The possibility of developing some such artifact has intrigued human beings since ancient times. With the growth of modern science, the search for AI has taken two major directions: psychological and physiological research into the nature of human thought, and the technological development of increasingly sophisticated computing systems. In the latter sense, the term AI has been applied to computer systems and programs capable of performing tasks more complex than straightforward programming, although still far from the realm of actual thought. The most important fields of research in this area are information processing, pattern recognition, game-playing computers, and applied fields such as medical diagnosis.
Flowcharts can be very useful for a technical writer. If you're working on a complex process, a flowchart can show you the various steps involved in that process. For example, you could be working on a manual on how to troubleshoot the Autopilot Flight Director system for the Boeing 747 aircraft. There are various steps involved in troubleshooting this system. Each step has multiple sub-steps. By creating a flowchart, you can quickly see which step takes place at what stage in the process.
Knowledge workers carry out these processes by taking into account multiple inputs (generally a wide set of unstructured data and information) to perform difficult tasks and make complex decisions among multiple possible ways of doing the work, each one implying different levels of risk and possible benefits. They are dependent on individuals and it is not possible to automate them. One example of a knowledge process is "Marketing a new product". The same steps are followed each time a new product is launched (benchmarking competitors, deciding pricing strategy, planning promotion, etc...), but it is the experience, knowledge and intuition of the people that drive the process to success.
Tables : When your data doesn't clearly show a trend, use a table. You may have this data in Excel, and can even link to the Excel file. Quotations : Quotes are very powerful when they come from authorities or well-known individuals. In a persuasive presentation, you can use testimonials from other customers, for example. Stories : Stories are powerful when they support your message. They can be personal, related to current events, examples from other customers, and so on. They can be full-blown situations, or simple examples. Collect stories as you hear them and keep them in a file for use later.
This method seems to be the inefficient method as the chances or the profits to rise at the higher level often degrades. The marketing costs and the net returns tend to decrease that prevents the consumers from earning accountable outputs in time. Further, the latest and modern rice milling units make use of more efficient technology that hep them yield a large net return and the calculated costs become better for the large quantity of paddy. Roughly, we can say that capacity utilization using the modern methods is approximately 70% in comparison to the conventional methods used (approx. 45%). Rice is the staple food and is one of the man source among all the food grains.