Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival

Yang Kou; Congbo Li; Li Li; Ying Tang; Xiaoou Li

doi:10.1109/SMC.2019.8914436

Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival

Yang Kou, Congbo Li, Li Li, Ying Tang, Xiaoou Li

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper investigated a dynamic rescheduling problem for a flexible machining system with random machine breakdown and urgent job arrivals. The energy consumption characteristics of the machining system is explicitly analyzed by considering multiple flexibilities with related to process routes and machine tool selection as well as dynamic events. Then a multi-objective optimization model of dynamic rescheduling is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a MOGSA algorithm. Case studies with random urgent job arrival and machine breakdown are implemented and the experimental results show that the proposed approach is effective for energy saving through rescheduling.

Original language	English (US)
Title of host publication	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	409-414
Number of pages	6
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914436
Publication status	Published - Oct 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: Oct 6 2019 → Oct 9 2019

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2019-October
ISSN (Print)	1062-922X

Conference

Conference	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country	Italy
City	Bari
Period	10/6/19 → 10/9/19

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All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Cite this

Kou, Y., Li, C., Li, L., Tang, Y., & Li, X. (2019). Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 409-414). [8914436] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2019.8914436

Kou, Yang ; Li, Congbo ; Li, Li ; Tang, Ying ; Li, Xiaoou. / Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 409-414 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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abstract = "This paper investigated a dynamic rescheduling problem for a flexible machining system with random machine breakdown and urgent job arrivals. The energy consumption characteristics of the machining system is explicitly analyzed by considering multiple flexibilities with related to process routes and machine tool selection as well as dynamic events. Then a multi-objective optimization model of dynamic rescheduling is presented to take minimum energy consumption and minimum makespan as objectives, which is solved by a MOGSA algorithm. Case studies with random urgent job arrival and machine breakdown are implemented and the experimental results show that the proposed approach is effective for energy saving through rescheduling.",

author = "Yang Kou and Congbo Li and Li Li and Ying Tang and Xiaoou Li",

year = "2019",

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doi = "10.1109/SMC.2019.8914436",

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series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

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Kou, Y, Li, C, Li, L, Tang, Y & Li, X 2019, Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019., 8914436, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 409-414, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 10/6/19. https://doi.org/10.1109/SMC.2019.8914436

Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. / Kou, Yang; Li, Congbo; Li, Li; Tang, Ying; Li, Xiaoou.

2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 409-414 8914436 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kou Y, Li C, Li L, Tang Y, Li X. Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 409-414. 8914436. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/SMC.2019.8914436

Access to Document

10.1109/SMC.2019.8914436