A firm's end-product waste problem motivated us to investigate the structure underlying a polymer coating process (PCP) by combining system dynamics simulation modeling with statistical process control (SPC). Our bipartisan approach proved to be rather powerful: not only it provides insight about the negative feedback-loop structure between temperature distribution and polymer thickness but also allows assessing the potential affects of leverage points on the stability of the polymer manufacturing process directly from the process capability and control charts. The new knowledge gained yields a dramatic improvement in the firm's end-product quality and productivity. Worth nothing is our transforming of the heat control equations--which correspond to the gelling operations of polymer foam and be solved using standard Runge-Kutta methods. Consequently, our essay illustrates how to effectively handle parabolic partial differential equations using conventional system dynamics simulation software.

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Date created

• 1995

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

12420ec6bd5f758d2b4dea59aabd75a9

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

b83f2ce2912343b559f967dd985da515

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives