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Conference Papers Year : 2020

Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools

Mehdi Mahmoodjanloo
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Reza Tavakkoli-Moghaddam
Armand Baboli
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Abstract

Keeping pace with rapidly changing customer requirements forces companies to increase the capability of adaptation of their production systems. To fulfill the market requirements in a reasonable time and cost, distributed manufacturing has been emerged as one of the efficient approaches. Moreover, the ability of reconfigurability makes manufacturing systems and tools to be more adaptable. This research deals with a dynamic production scheduling problem simultaneously in several different shop-floors consisting of reconfigurable machine tools (RMTs) by utilizing the real-time data extracted from a cyber-physical system (CPS). First, a mathematical programming model is presented for the static state. Thereafter, by utilizing the CPS capabilities, a dynamic model is extended to schedule new jobs, in which there have already been some other jobs in each facility. A numerical example is solved to illustrate the validation of the model. Finally, some potential solving approaches are proposed to make the model implementable in real-world applications.
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hal-03635652 , version 1 (20-06-2023)

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Mehdi Mahmoodjanloo, Reza Tavakkoli-Moghaddam, Armand Baboli, Ali Bozorgi-Amiri. Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.460-468, ⟨10.1007/978-3-030-57997-5_53⟩. ⟨hal-03635652⟩
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