Optimizing production schedules of chemical plants for demand changes

Shogo Masuda, Masami Konishi, Akio Gofuku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the industrial complex in Japan, goods and energy are exchanged between plural factories through pipeline. Because the influence from the upstream enterprise is received, the optimized factory opreration is fairly difficult. Moreover, oil-price fluctuate according to economical environment induced from demand changes. The mathematical model of the chemical plant is set up. The optimization method for the ethylene plant when there is an influence from the upstream enterprise is designed by using this expression. The method of planning the optimized production plan when demand and price of raw material change is assumed. Numerical experiments are made considering upstream and downstream factories simultaneously.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages756-760
Number of pages5
DOIs
Publication statusPublished - Sep 21 2009
Event2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan
Duration: Mar 26 2009Mar 29 2009

Publication series

NameProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009

Other

Other2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
CountryJapan
CityOkayama
Period3/26/093/29/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Optimizing production schedules of chemical plants for demand changes'. Together they form a unique fingerprint.

  • Cite this

    Masuda, S., Konishi, M., & Gofuku, A. (2009). Optimizing production schedules of chemical plants for demand changes. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 (pp. 756-760). [4919373] (Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009). https://doi.org/10.1109/ICNSC.2009.4919373