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

Abstract : Keeping pace with rapidly changing customer requirements forces compa-nies 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. Moreo-ver, the ability of reconfigurability makes manufacturing systems and tools to be more adaptable. This research deals with a dynamic production sched-uling problem simultaneously in several different shop-floors consisting of reconfigurable machine tools (RMTs) by utilizing the real-time data extract-ed from a cyber-physical system (CPS). First, a mathematical programming model is presented for the static state. Thereafter, by utilizing the CPS capa-bilities, 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 solv-ing approaches are proposed to make the model implementable in real-world applications.
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Contributor : Armand Baboli Connect in order to contact the contributor
Submitted on : Tuesday, January 5, 2021 - 5:14:56 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM


  • HAL Id : hal-03098376, version 1


Mehdi Mahmoodjanloo, Reza Tavakkoli-Moghaddam, Armand Baboli, Ali Bozorgi-Amiri. Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools. Advances in Production Management Systems - APMS 2020, Aug 2020, Novi Sad, Serbia. pp.460-468. ⟨hal-03098376⟩



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