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Short‐Term Planning of Blending Processes: Scheduling and Nonlinear Optimization of Recipes
Author(s) -
Glismann K.,
Gruhn G.
Publication year - 2001
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/1521-4125(200103)24:3<246::aid-ceat246>3.0.co;2-8
Subject(s) - scheduling (production processes) , computer science , mathematical optimization , nonlinear programming , nonlinear system , term (time) , automated planning and scheduling , artificial intelligence , mathematics , physics , quantum mechanics
Applying mathematical programming techniques has been found to be a favorable approach to solve the task of short‐term scheduling of blending processes. The approach presented in this paper is based on a Resource‐Task Network representation of the process and offers a flexible and user‐friendly treatment of the scheduling problem. User‐defined objectives and constraints can be easily included in a straightforward way. By making use of a strategy to coordinate scheduling and nonlinear recipe optimization an overall optimization can be achieved.

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