Shortening time to market through digital twins.
Shortening time to market through digital twins.
This document summarizes a case where Accenture worked with a major materials manufacturing client to shorten the time to market by utilizing digital twins. The client was conducting trial runs on actual machines before mass production, which led to a reliance on specific expertise for verification know-how, dependence on actual machines and trial runs, and verification data confined to specific locations, resulting in prolonged startup times. Accenture provided support focusing on three key areas: "building digital twins," "establishing decision-making processes," and "calculating return on investment (planning and conceptualization)." By conducting pre-mass production operations through simulation and designing verification items and acceptance criteria for pre-mass production trial runs, the process was transformed to allow decision-making to be replicated without experts. As a result, the mass production startup period was shortened from 9 months to 3 months, a reduction of approximately 65%. The expected benefits include a 5.5% increase in total sales per product lifecycle and a 50% cost reduction through operation without actual machines during trial runs.
basic information
Building a digital twin environment Simulation of pre-mass production trial runs (verification without physical equipment) Design of verification items and acceptance criteria for pre-mass production trial runs Simulation of the effect of AI on reducing time to market Verification of optimal market launch timing
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Applications/Examples of results
【Purpose】 Shortening the mass production startup period for new products Improving the efficiency of trial operations during design changes and reducing production downtime Standardizing verification know-how and expanding it to other locations 【Achievements】 Reduced mass production startup period from 9 months to 3 months, approximately a 65% reduction Increased total sales amount per product lifecycle by 5.5% Achieved a 50% cost reduction through operation without actual equipment during trial runs
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