Energy-optimal programming and scheduling of the manufacturing operations

The shop floor energy system covers the energy consumed for both the air conditioning and manufacturing processes. At the same time, most of energy consumed in manufacturing processes is converted in heat released in the shop floor interior and has a significant influence on the microclimate. Both t...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2016-08, Vol.145 (2), p.22028-22035
Main Authors: Badea, N, Frumu anu, G, Epureanu, A
Format: Article
Language:English
Subjects:
Air conditioning
Criteria
Efficiency
Energy consumption
Manufacturing
Mathematical models
Microclimate
Optimization
Parameters
Programming
Scheduling
Sustainability
Sustainable development
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Summary:The shop floor energy system covers the energy consumed for both the air conditioning and manufacturing processes. At the same time, most of energy consumed in manufacturing processes is converted in heat released in the shop floor interior and has a significant influence on the microclimate. Both these components of the energy consumption have a time variation that can be realistic assessed. Moreover, the consumed energy decisively determines the environmental sustainability of the manufacturing operation, while the expenditure for running the shop floor energy system is a significant component of the manufacturing operations cost. Finally yet importantly, the energy consumption can be fundamentally influenced by properly programming and scheduling of the manufacturing operations. In this paper, we present a method for modeling and energy-optimal programming & scheduling the manufacturing operations. In this purpose, we have firstly identified two optimization targets, namely the environmental sustainability and the economic efficiency. Then, we have defined three optimization criteria, which can assess the degree of achieving these targets. Finally, we have modeled the relationship between the optimization criteria and the parameters of programming and scheduling. In this way, it has been revealed that by adjusting these parameters one can significantly improve the sustainability and efficiency of manufacturing operations. A numerical simulation has proved the feasibility and the efficiency of the proposed method.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/145/2/022028