A Method for Assessing Manufacturability of Products Using Semantic Models in Digital Manufacturing

Abstract

The efficiency of machine-building production is largely determined by the development time of new types of high-tech products and their modifications. In these conditions, the time of evaluating product manufacturability at the manufacturing planning stage is crucial. As this evaluation requires processing a substantial amount of information, the process becomes very time consuming. This problem can be resolved through automation. To increase automation of the manufacturability assessment, a method based on a three-stage algorithm for analyzing the availability of design and technological solutions with the production and technological capabilities of the enterprise is developed. The proposed algorithm allows step-by-step identification of structural and technological problems of product manufacturing at a specific enterprise and creation of possible solutions while simultaneously managing modifications of the product and the production system of the enterprise. The method can also be used for identification and exclusion from further analysis of enterprises that require vast investments to prepare and master manufacturing of a product or its components. This will significantly shorten the development time of new types of high-tech products and their modifications.