Abstract
Incorporating new technologies to the batch process industries constitutes a difficult task essentially dependent on the specific characteristics of the type of industry contemplated. Present trends in the methodology used to solve the efficient production scheduling problem can be grouped into two categories: the general purpose scheduler that employs the rigorous Mixed Integer Linear Programming (MILP) optimization strategies approach and the development of a heuristic-based customized approach which focusses on particular industrial sectors.
This paper describes how the combination of optimization and expert systems has been used to solve the production scheduling problem in the textile and leather industrial sectors. Detailed plant simulation is essential for production plant evaluation and eventual validation, which is facilitated by the data base management system. Mixed Integer Linear Programming is used to solve the optimization problem in the case of the leather industry, while the textile manufacturing scheduling problem is solved using ad-hoc hierarchical expert rules together with the plant manager supervision in a highly interactive mode. The reported industrial experience in both cases will be presented and results from specific case studies will be analyzed.
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© 1996 Springer-Verlag Berlin Heidelberg
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Puigjaner, L., Espuña, A., Santos, G., Graells, M. (1996). Batch Processing in Textile and Leather Industries. In: Reklaitis, G.V., Sunol, A.K., Rippin, D.W.T., Hortaçsu, Ö. (eds) Batch Processing Systems Engineering. NATO ASI Series, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60972-5_31
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DOI: https://doi.org/10.1007/978-3-642-60972-5_31
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