Integer Programing Model for the Globally Optimal Schedule of Multipurpose Batch Plants

Scheduling becomes important for multipurpose batch plants from the point of their productivity, though it is very complicated since the making of a globally optimal schedule for such a plant requires that the operation sequences in all the equipment modules must be optimized simultaneously with con...

Full description

Saved in:
Bibliographic Details
Published inJOURNAL OF CHEMICAL ENGINEERING OF JAPAN Vol. 25; no. 3; pp. 250 - 256
Main Authors Fuchino, Tetsuo, Muraki, Masaaki, Hayakawa, Toyohiko
Format Journal Article
LanguageEnglish
Published Tokyo The Society of Chemical Engineers, Japan 1992
Society of Chemical Engineers
Taylor & Francis Group
Subjects
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Chemical engineering
Clean-up Time
Equipment Module Sequence
Exact sciences and technology
Holding Time
Integer Programming
Multipurpose Batch Plant
Operation Sequence
Scheduling
Systems Engineering
Integer programming
Batchwise
Multipurpose installation
Scheduling
Planning
Commercial plant
Modeling
Online AccessGet full text

Cover

More Information
Summary:Scheduling becomes important for multipurpose batch plants from the point of their productivity, though it is very complicated since the making of a globally optimal schedule for such a plant requires that the operation sequences in all the equipment modules must be optimized simultaneously with consideration of the holding time and the clean-up time. Furthermore, these sequences interact with each other. In this study, an Integer Programming model (IP-model) for the globally optimal schedule of multipurpose batch plants for given equipment module sequences of each product is developed. To formulate this model, the necessary constraints for optimization are considered and the variables to be introduced for describing them are examined. Moreover, these constraints are linearized by introducing integer variables and the sufficient large number for setting the boundaries to their nonlinear terms. The effectiveness of the proposed IP-model is illustrated by solving example scheduling problems.
ISSN:0021-9592
1881-1299
DOI:10.1252/jcej.25.250