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

Authors:
Dmitry Tsadikovich;Eugene Levner;Hanan Tell
Affiliations:
Bar Ilan University, Department of Management, Ramat Gan, Israel;Bar Ilan University, Department of Management, Ramat Gan, Israel;Bar Ilan University, Department of Management, Ramat Gan, Israel
Venue:
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Year:
2010

Citing 4
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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.