By Jett Alcock at October 11 2018 23:33:36
It is usual that knowledge processes take the form of projects to manage their execution. If the output of the process is a unique product, managing work as a project will result in obvious advantages. There are certain guidelines that can help an organization willing to improve their knowledge processes: Provide process description on how to approach work Try to figure out the best way to carry out a knowledge process, by making the best practices existing in your organization (or in your industry) explicit. Publish process definitions in a format that is easy to consult and understand. Provide tools that facilitate and standardize work Decide which tools are best to help knowledge workers carry out their work. Involving all affected knowledge workers in the process of deciding which tools will be used is very convenient, in order to obtain user buy in.
Rice Huskers: These huskers remove the husk (outer covering) from the paddy rice during the processing. Paddy Separators: It makes the brown rice more efficient. Plano-Shifters: This makes the rice more uniform and give rice proper size and grading with a high speed. Color Sorters: These color sorters give a proper color to the rice and define its shade. The basic structure and the process followed in the rice milling industries and rice milling plants include: 1. Quantity of Rice (In Abundance) ; 2. Pre - Cleaning ; 3. Steaming ; 4. Drying ; 5. Packaging ; 6. Grading and Sorting ; 7. Polishing ; 8. Removal of Husk
In the last years some organizations have emerged with the aim of creating professional communities around specific disciplines such as Software Development (SEI, ESI, etc...), Project Management (PMI), Business Process Management (BPMI), IT Service Management (ITSMF), etc... One of the objectives of these groups is to develop a body of knowledge that compiles the discipline's best practices in the form of reference frameworks, methodologies and maturity models. These assets should be considered by any organization interested in knowledge process management.
In all cases, however, the task that the algorithm is to accomplish must be definable. That is, the definition may involve mathematical or logic terms or a compilation of data or written instructions, but the task itself must be one that can be stated in some way. In terms of ordinary computer usage, this means that algorithms must be programmable, even if the tasks themselves turn out to have no solution. In computational devices with a built-in microcomputer logic, this logic is a form of algorithm. As computers increase in complexity, more and more software-program algorithms are taking the form of what is called hard software.