Advanced recipe—a knowledge based information system for production processes

A computerized method comprising:

• receiving a production recipe that includes a set of actions for combining ingredients of a batch of product;
• receiving knowledge associated with the batch of product from one or more sources;
• and
• generating through computer automated operations an advanced recipe comprising the set of actions and a purpose of an underlying process.

A computerized method for controlling a production process, the method comprising:

• receiving data from multiple knowledge sources;
• storing the data in a structured knowledge repository;
• and
• modifying a recipe for a batch processing situation using the data stored in the knowledge repository, wherein the recipe contains steps and purposes, wherein the recipe is for producing a quantity of a product, and wherein the steps are steps for combining ingredients of the quantity of the product.

A computerized system comprising:

• a Knowledge Builder to derive from multiple knowledge sources;
• a Structured Knowledge Repository to store and organize the knowledge, wherein the Structured Knowledge Repository organizes knowledge and provides links between specific pieces of information and the functional purposes to which the knowledge can be put;
• and
• a Decision Maker to use the knowledge stored in the structured knowledge repository to identify one or more modifications of recipe steps of a recipe, wherein the recipe steps are steps for combining ingredients of a quantity of a product.

A computer-readable medium having computer-executable instructions for a method of managing a production process, the method comprising:

• receiving one or more desired purposes for the production process;
• receiving a recipe, wherein the recipe is a set of actions for producing a quantity of a product, wherein the set of actions includes actions for combining ingredients of the quantity of product;
• and
• generating an advanced recipe comprising the set of actions and the one or more desired purposes for the production process.

A system comprising:

• a Knowledge Builder to extract a number of knowledge types from a number of sources, wherein one of the number of sources is a source based on a symbolic learning approach to extract reasons for an outcome of a step of a recipe and wherein a different one of the number of sources is a source based on an empirical approach to extract results based on what happened from a step of a recipe;
• a Structured Knowledge Repository to organize and store the number of knowledge types from the number of sources in a scaffolding structure, wherein an abstraction-decomposition technique is used to organize the number of knowledge types based on an analysis of a physical domain in which the steps of the recipe are executed and how functional purposes are to be achieved within constraints provided by the physical domain;
• and
• a Decision Maker to use the knowledge stored in the structured knowledge repository to identify one or more modifications of steps of the recipe.

A computerized method comprising:

• extracting a number of knowledge types from a number of sources, wherein one of the number of sources is a source based on a symbolic learning approach to extract reasons for an outcome of a step of a recipe, and wherein a different one of the number of sources is a source based on an empirical approach to extract results based on what happened from a step of a recipe;
• storing the number of knowledge types from the number of sources in a scaffolding structure, wherein an abstraction-decomposition technique is used to organize the number of knowledge types based on an analysis of a physical domain in which the steps of the recipe are executed and how functional purposes are to be achieved within constraints provided by the physical domain;
• and
• identifying one or more modifications of the steps of the recipe based on the knowledge types.

A computer-readable medium having computer-executable instructions for a method comprising:

• extracting a number of knowledge types from a number of sources, wherein one of the number of sources is a source based on a symbolic learning approach to extract reasons for an outcome of a step of a recipe and wherein a different one of the number of sources is a source based on an empirical approach to extract results based on what happened from a step of a recipe;
• storing the number of knowledge types from the number of sources in a scaffolding structure, wherein an abstraction-decomposition technique is used to organize the number of knowledge types based on an analysis of a physical domain in which the steps of the recipe are executed and how functional purposes are to be achieved within constraints provided by the physical domain;
• and
• identifying one or more modifications of the steps of the recipe based on the knowledge types.