Title
A Multi-Fidelity Model Approach for Simultaneous Scheduling of Machines and Vehicles in Flexible Manufacturing Systems.
Abstract
Driven by sensor technologies and Internet of Things, massive real-time data from highly interconnected devices are available, which enables the improvement of decision-making quality. Scheduling of such production systems can be challenging as it must incorporate the latest data and be able to re-plan quickly. In this research, a multi-fidelity model for simultaneous scheduling problem of machines and vehicles at flexible manufacturing system has been proposed. In order to improve the computational efficiency, we extend the framework, called multi-fidelity optimization with ordinal transformation and optimal sampling, with combining with the K-means method. The proposed framework enables the benefits of both fast and inexpensive low-fidelity models with accurate but more expensive high-fidelity models. Results show that this approach can significantly decrease computational cost compared with other algorithms in the literature.
Year
DOI
Venue
2018
10.1142/S0217595918500057
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH
Keywords
Field
DocType
Internet of Things,simultaneous scheduling problem,flexible manufacturing system,multi-fidelity scheduling algorithm
Fidelity,Job shop scheduling,Manufacturing systems,Ordinal number,Scheduling (computing),Internet of Things,Real-time computing,Sampling (statistics),Flexible manufacturing system,Mathematics,Distributed computing
Journal
Volume
Issue
ISSN
35
1
0217-5959
Citations 
PageRank 
References 
1
0.36
9
Authors
4
Name
Order
Citations
PageRank
J. T. Lin1112.56
chunchih chiu292.14
Edward Huang3647.87
Hung-Ming Chen449359.19