8/10/2023 0 Comments Production line download meaningMcKinsey believes collecting and exploiting high-value data about the entire production process, or incremental segments at least can help companies assess and improve their production practices. But as we increasingly push the bounds of what is possible by applying novel and game-changing technologies, it is essential to maintain a granular understanding of manufacturing processes and where the most significant improvements can occur. How we understand and apply best practices is based on evolving knowledge about the relevant industries and the science state at the time. ” Even in industries where best practices have become standardized from all input stages to the final product, PDA still offers significant benefits. Variability in the manufacturing process remains a fact of life in several industries, such as mining, pharmaceuticals, and chemicals.Īs McKinsey notes, “ the sheer number and complexity of production activities that influence yield ” in these industries require “ a more granular approach to diagnosing and correcting process flaws. Although the past half-century has witnessed incremental innovations that have allowed manufacturers to reduce waste and variability while dramatically improving quality and yield, there is still some way to go. PDA’s purpose is to collect data that helps make the production process leaner, more flexible, and sustainably more profitable. It is the deliberate monitoring, tracking, and collection of production or operating data in ways that make it useful and relevant in attaining macro production or productivity goals in an organization. Production data acquisition (PDA), also called BDE or PDC, data collection about a company’s processes. This is where production data acquisition, and its related tools, are vital. In that case, more effort must be made to acquire a pool of data that is representative of the entire production process. ![]() ![]() Estimates are that less than 5% of machines and shops are digitally monitored, with the primary emphasis being on end-stage or high-value processes.īut suppose data from the shop floor will contribute towards an innovative, highly competitive production process. While there are already many systems that let companies collect, analyze, and rapidly act upon data coming off the shop floor, indicators are that they only capture a small portion of the production process. Collecting high-quality data not only helps create insights that allow manufacturers to improve productivity and profitability, but it is also an essential first step towards the high-tech, data-driven manufacturing industry bearing down on us. Definition and Objectives of a PDA SystemĪs we continue the march towards Industry 4.0, it is becoming clear that collecting and utilizing quality data will be critical towards success in the new production age.
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