By Cornelius Leondes, Cornelius T. Leondes
Within the aggressive company area businesses needs to always attempt to create new and higher items speedier, extra successfully, and extra affordably than their opponents to achieve and maintain the aggressive virtue. Computer-aided layout (CAD), computer-aided engineering (CAE), and computer-aided production (CAM) at the moment are the average. those seven volumes supply the reader a finished remedy of the strategies and functions of CAD, CAE, and CAM.
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Additional resources for Computer-Aided Design, Engineering, and Manufacturing: Systems Techniques and Applications, Volume V, The Design of Manufacturing Systems
They feel that establishing standards will enable feature data exchange between two feature modelers and allow the transfer of feature information from a feature modeler to an application. The FFIM (Form Feature Information Model) developed by the PDES committee has the capability of exchanging geometric and topological information. FFIM is not well suited for exchanging semantic information such as design intent and product type. Shah and Mathew  identified some of the problems in FFIM, such as the lack of relational positioning/location information, multiple representations of a single feature, representation of some commonly used profiles using complex data structures, loss of semantic information, minor numerical inaccuracies, and nonunique mapping of features.
How to represent the knowledge base and data base regarding the limitations and capabilities of the manufacturing technology in a computer interpretable format? How to build incremental manufacturing process models? Most of the manufacturability systems cited in literature are not current with the rapid advances in machine tool technology. Fast-paced technological advances may make some of the current manufacturing knowledge base outdated. • Many companies use in-house manufacturing technology domains to determine the product manufacturability.
Thus, there is considerable motivation for the development of heuristics or approximation schemes. Worst- and average-case performance measures of these heuristics for the process planning problem could be an important contribution. Liu and Sahinidis  recently initiated some work in this area, such as high variability settings, that could also be explored. In conclusion, the problem of long-range planning in the chemical industry is a very intriguing one. The complexity of the problem holds considerable challenge for researchers, while its application potential is attractive to practitioners.