Discrete Manufacturing System’s Dynamic Intelligent Optimization Scheduling Method for High-Dimensional and Multi-objective Optimization of Production/Energy Consumption

Yan Wang (), Cheng-Lin Liu () and Zhi-Cheng Ji ()
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Yan Wang: Jiangnan University, School of IOT Engineering
Cheng-Lin Liu: Jiangnan University, School of IOT Engineering
Zhi-Cheng Ji: Jiangnan University, School of IOT Engineering

Chapter Chapter 9 in Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System, 2020, pp 213-240 from Springer

Abstract: Abstract Current documents are mostly research targeting at low-dimensional multi-objective flexible workshop’s scheduling problem. The number of optimization targets does not exceed three, and these targets are normally related to completion time, machine load and delivery period. But actual discrete manufacturing system also involves some realistic objectives, including energy consumption, cost and processing quality, which represent the decision expectation and evaluation standards of the different departments in an enterprise towards scheduling scheme.

Date: 2020
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DOI: 10.1007/978-981-15-4462-0_9

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