Integration of planning, scheduling and stochastic inventory under uncertainty for flexible process networks

Dajun Yue, Fengqi You

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

Abstract

We address in this article the tactical planning and scheduling of chemical process networks consisting of both dedicated and flexible processes under demand and supply uncertainty. To integrate the stochastic inventory control decisions with the production planning and scheduling, we propose a mixed-integer nonlinear programming (MINLP) model that captures the stochastic nature of the demand variations and supply delays by using the guaranteed-service approach (GSA). The model takes into account multiple tradeoffs and simultaneously determines the optimal selection of production schemes, purchase/sales and production levels, cyclic production schedules for flexible processes, as well as working and safety inventory levels of all chemicals involved in the process network. To globally optimize the resulting non-convex MINLP problems with modest computational times, we exploit the model properties, propose a tailored branch-and-refine algorithm and introduce three symmetry breaking cuts. The application is illustrated through a large-scale example with 25 chemicals and 16 processes including at most 8 production schemes for each flexible process.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Pages3505-3510
Number of pages6
StatePublished - Sep 11 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period6/17/136/19/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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