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Systems Engineering for Advanced Manufacturing: Unit Op Insights from Model‐Based Methods
Author(s) -
Schindel William D.
Publication year - 2011
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2011.tb01312.x
Subject(s) - interdependence , intuition , computer science , process (computing) , quality (philosophy) , pharmaceutical manufacturing , domain (mathematical analysis) , manufacturing engineering , engineering , mathematical analysis , bioinformatics , philosophy , mathematics , epistemology , political science , law , biology , operating system
Innovative manufacturers, pursuing competitive advantage, increasingly push the envelope of production system complexity. Advanced manufacturing applies materials science, chemistry, thermodynamics, biology, information technologies, and engineering disciplines. Historically a pragmatic domain respecting intuition, experience, and judgment, manufacturing increasingly demands scientifically‐based mastery of the systemic properties of interacting processes, materials, and products. Stable and predictable performance is expected across technology transfers and changes in recipes. Customers, owners, and regulators press traditional process engineering and specialized disciplines to integrate more deeply, producing “Quality by Design” outcomes, faster, at lower costs. This paper describes a novel model‐based method focused on unit manufacturing operations and their integration into production cells, lines, and facilities. Modeling what occurs during transformations, these science‐based descriptions move beyond Process Flow Diagram (PFDs) to represent, independent of equipment design, interdependencies of materials, processes, equipment, and control strategies—automated or human. This approach has improved integrating insight across diverse manufacturing processes.