Dynamic optimization in the design and scheduling of multiproduct batch plants

Journal Article · Mon Jul 01 04:00:00 EDT 1996 · Industrial and Engineering Chemistry Research

DOI:https://doi.org/10.1021/ie950701i· OSTI ID:276743

Bhatia, T; Biegler, L T ^[1]

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1. Carnegie-Mellon Univ., Pittsburgh, PA (United States). Dept. of Chemical Engineering

Dynamic batch processing provides additional transient operating freedom, that can stretch the limits of profitability under strict market, facility, and time constraints. The paper incorporates dynamic processing conditions for products in a multiproduct batch plant, as opposed to fixing the process by recipes, in the broader context of equipment design, production planning, scheduling, and inventory considerations. The objective is a general function of fixed design costs, operating costs, production revenues, etc. Decisions include stage processing times for products, transient stage operating policies, continuous design parameters, production capacity, and production schedules. The infinite dimensional optimal control problem for each operation is solved using collocation over finite time elements. Scheduling, with its combinatorial complexity, is addressed in the scope of flowshop plants for specific transfer policies using the aggregated scheduling model in the cited references.

• DOE Contract Number: FG02-85ER13396
• OSTI ID: 276743
• Journal Information: Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 7 Vol. 35; ISSN IECRED; ISSN 0888-5885
• Country of Publication: United States
• Language: English

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