The system generates a sorted list of other options for compatible materials and manufacturing techniques. This approach has advantages over current systems that are either deficient in decision modules or are not coupled with databases. Decisions on materials and manufacturing techniques must be determined before design for manufacture can begin. The prototype material and manufacturing process selection system known as MAMPS, which integrates a relational database and a formal multi-attribute decision model, is introduced in this paper. The decision model allows the designer's preferences in connection to the deciding elements to be represented. The needs of the product profile and the alternatives stored in the database are rated for compatibility with each choice criterion using possibility theory. The vector of compatibility ratings is used to calculate a single compatibility rating for the alternative. The possibility theory is used to produce choice criteria. It rates how well the alternatives stack up against the needs of the product profile. The vector of compatibility ratings is used to calculate a single compatibility rating for the alternative. A prioritized list of compatible material and manufacturing process alternatives is generated by the system. This approach has advantages over existing systems that either don't have a decisionmodule or aren't linked to a database. The choice of manufacturing processes has a significant impact on product quality, cost-effectiveness, and sustainability, which makes it an important research topic. Researchers can improve production processes, increase efficiency, decrease waste, and develop cutting-edge techniques by researching various process options, which helps to advance the manufacturing industries around the world. Evaluation of various factors, including cost, quality requirements, production volume, material properties, and equipment capabilities, is necessary when choosing a manufacturing process methodology. Finding the best strategy that maximises efficiency, complies with requirements, and supports business goals requires careful analysis and consideration. Taken as Alternative parameters for Process, Sand casting, Gravity die casting, Investment casting, Pressure die casting, Additive manufacturing. Taken as Evaluation parameter for Productivity, Accuracy, Complexity, Flexibility, Material utilization, Quality, Operation cost. The first ranking training is obtained with the lowest quality of compensation.
A Sat, study studied this question.