Abstract
In manufacturing industries, digitization of design and manufacturing processes adds competitiveness to business in terms of automation, interconnectedness, better user experience, easier process analysis, and machine intelligence. In this paper, we have delineated our experience of estimating efforts required for digitizing design and manufacturing processes of large complex products prevalent in industries where myriad of such processes exist along with their individual complexities. We have analyzed process complexities and reconstructed use case points method of estimation. Prediction error analysis has been performed based on various established methods while validating estimation model. Historical data has been used for model training and validation. A sustained productivity factor of 28.5 consultant-hour/use case point exhibits acceptable average estimation error. We also delve into the replication of digitization effort estimation of homologous components. Analysis of an automotive sheet metal component realization process and its digitization effort estimation has been presented as a proof of concept. The method can be adopted for process digitization in both design and manufacturing realms.
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