Energy saving in production plants is becoming more and more relevant due to the pressure from governments to contain the environmental impact of manufacturing, and from companies to reduce costs. This work deals with the problem of saving energy in single machines visited by singlepart type with stochastic interarrival times. Specifically, several control policies are proposed for switching the machine off when production is not critical, and on when the part flow has to be resumed. The policy parameter that minimizes the machine energy request is provided analytically for exponentially distributed arrival times, and numerically for general distributions. A numerical comparison with the most common practices in manufacturing is also reported, together with a real case analysis from the automotive sector. © 2013 IEEE.

Machine control policies for energy saving in manufacturing

FRIGERIO, NICLA;MATTA, ANDREA
2013-01-01

Abstract

Energy saving in production plants is becoming more and more relevant due to the pressure from governments to contain the environmental impact of manufacturing, and from companies to reduce costs. This work deals with the problem of saving energy in single machines visited by singlepart type with stochastic interarrival times. Specifically, several control policies are proposed for switching the machine off when production is not critical, and on when the part flow has to be resumed. The policy parameter that minimizes the machine energy request is provided analytically for exponentially distributed arrival times, and numerically for general distributions. A numerical comparison with the most common practices in manufacturing is also reported, together with a real case analysis from the automotive sector. © 2013 IEEE.
2013
Proceedings of the IEEE International Conference on Automation Science and Engineering
9781479915156
Automotive sector, Control policy, Inter-arrival time, Machine controls, Manufacturing IS, Numerical comparison, Production plant, Single- machines; Automotive industry, Environmental impact, Manufacture, Scheduling algorithms; Energy conservation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/855739
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