AI-based integrated scheduling of production and transportation operations within military supply chains

Dmitry Tsadikovich, Eugene Levner, Hanan Tell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Maintaining the military weapon systems requires that spare parts of military equipment are available where and when they are needed. We focus on integrated demand-responsive scheduling of operations within two-echelon military supply chains consisting of production and transportation operations. Integration across these operations is achieved by introducing an additional intermediary module into the mathematical model which is solved by a new two-level artificial-intelligence (AI)-based algorithm. In order to carry out this task we introduce and analyze two performance measures: time of response and military effectiveness. A new solution method based on integer programming techniques in combination with AI-based heuristic search is derived. The discrete-event simulation tool - ARENA 11.0, is used to implement the integrated scheduling method.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Proceedings
Pages209-220
Number of pages12
EditionPART 1
DOIs
StatePublished - 2010
Event9th Mexican International Conference on Artificial Intelligence, MICAI 2010 - Pachuca, Mexico
Duration: 8 Nov 201013 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6437 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Mexican International Conference on Artificial Intelligence, MICAI 2010
Country/TerritoryMexico
CityPachuca
Period8/11/1013/11/10

Keywords

  • AI-based heuristic search
  • Planning and scheduling
  • military supply chain
  • simulation
  • supply chain management

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