State-of-the-art approaches to energy aware scheduling can be centralized or decentralized, predictive or reactive, and they can use methods ranging from mathematical programming to agent-based distributed models. In this paper two methodologies are compared for off-line scheduling, for energy intensive manufacturing systems by using a real industrial case, specifically manufacturing by injection moulding. A multi-objective scheduling problem requiring the minimization of the jobs tardiness and energy consumption is faced. A mixed integer programming formulation and a multi-agent approach are proposed and evaluated. Their advantages and drawbacks are pointed out for off-line energy-aware scheduling.

Assessment of mathematical programming and agent-based modelling for off-line scheduling: Application to energy aware manufacturing

TONELLI, FLAVIO;BRUZZONE, ALESSANDRO;PAOLUCCI, MASSIMO;
2016-01-01

Abstract

State-of-the-art approaches to energy aware scheduling can be centralized or decentralized, predictive or reactive, and they can use methods ranging from mathematical programming to agent-based distributed models. In this paper two methodologies are compared for off-line scheduling, for energy intensive manufacturing systems by using a real industrial case, specifically manufacturing by injection moulding. A multi-objective scheduling problem requiring the minimization of the jobs tardiness and energy consumption is faced. A mixed integer programming formulation and a multi-agent approach are proposed and evaluated. Their advantages and drawbacks are pointed out for off-line energy-aware scheduling.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/849555
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 19
  • ???jsp.display-item.citation.isi??? 12
social impact