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Can I read Ethylene plant scheduling system based on a MINLP formulation on EtoBox?
Ethylene plant scheduling system based on a MINLP formulation by I.B. Tjoa; Y. Ota; H. Matsuo; Y. Natori is a Engineering article available to read on EtoBox.
What is Ethylene plant scheduling system based on a MINLP formulation about?
This paper addresses a multi-period production scheduling problem of an ethylene plant by considering feedstock supplies, plant operating conditions, product inventories and demands simultaneously. The main complexity in solving this problem comes from a mixed integer nonlinear programming (MINLP) formulation of a naphtha feedstock management problem that includes scheduling vessel arrivals, storage tank assignments and blending. In addition, we also consider 4 other feedstocks, nonlinear yield models, separation constraints, product inventories and demands in the model. The number of binary variables in the model for a typical scheduling periods of one month can easily exceed a thousand. It may well be one of the largest and most rigorous model for ethylene plant production scheduling ever reported to date. Here we will discuss issues related to a problem formulation, solution strategy and industrial implementation of the ethylene plant production scheduling system.
Who reads Ethylene plant scheduling system based on a MINLP formulation?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- I.B. Tjoa; Y. Ota; H. Matsuo; Y. Natori
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0098-1354)
- Published
- 1997
- Language
- DA
- Field
- Engineering (Physical Sciences)