A Petri net based methodology for modelling, analysis, demand forecast and optimal planning of batch production systems

Konstantinos E. Vrontakis, Andreas N. Kampianakis, George J. Tsinarakis

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A methodology for optimal production planning of an industry, processing multiple raw material types, is presented. Petri net modeling of production procedures, combined with stochastic forecast of upcoming demand, produce necessary input for a Mixed Integer Linear Problem (MILP) that calculates optimal production timeline according to various constraints. The methodology is developed for batch production systems with resource sharing between different types of final products, and is applied to a real case study system.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics
PublisherIEEE
Publication date2016
Pages1136-1141
ISBN (Electronic)978-1-5090-1897-0
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE International Conference on Systems, Man, and Cybernetics - Budapest, Hungary
Duration: 9 Oct 201612 Oct 2016
http://smc2016.org/

Conference

Conference2016 IEEE International Conference on Systems, Man, and Cybernetics
CountryHungary
CityBudapest
Period09/10/201612/10/2016
Internet address

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