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Non-reshuffle-based approach for rescheduling of flexible manufacturing system

Zakaria, Zalmiyah and Deris, Safaai and Othman, Muhamad Razib and Kasim, Shahreen (2017) Non-reshuffle-based approach for rescheduling of flexible manufacturing system. International Journal on Advanced Science, Engineering and Information Technology, 7 (4-2). pp. 1543-1552. ISSN 20885334

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Scheduling and rescheduling play vital roles in ensuring the effectiveness of the production control in flexible manufacturing system (FMS). The failure of these systems may interrupt the efficiency of the production activities and thus may lessen the profit to be gained by the company. The FMS scheduling problem is considered as dynamic as new orders may get in every day. The new orders need to be immediately desegregated with the existing production schedule by preserving the efficiency and stability of the existing schedule. This research applies the non-reshuffle-based genetic match-up algorithms which admit new orders by manipulating available machine idle times to address rescheduling problem in a FMS that practises the pull strategy. The idea of the match-up approach is to update only a part of the initial schedule and genetic algorithms used to optimise the solution within the rescheduling horizon in such a way in order to preserve the efficiency and stability of the shop floor. The proposed methodology has been tested using different rescheduling parameters. The experiments show that the rescheduling method improves efficiency and stability of the new schedule.

Item Type: Article
Uncontrolled Keywords: Dynamic scheduling; match-up rescheduling; genetic algorithms; flexible manufacturing system
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 31 Mar 2019 07:37
Last Modified: 31 Mar 2019 07:37
URI: http://eprints.uthm.edu.my/id/eprint/10918
Statistic Details: View Download Statistic

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