Energy-aware scheduling (EAS) of manufacturing processes demands a mathematical model to optimally plan energy saving for a given schedule. The proposed approach starts from a reference schedule generated by an Advanced Planning & Scheduling (APS) system which does not consider energy saving. The new approach relies on a Mixed Integer Programming (MIP) model where the reference schedule is modified to account for energy consumption without changing the jobs’ assignment and sequencing provided by the reference schedule. The applicability of the approach has been validated through a test case; the results obtained using one commercial MIP solver and an original MIP-heuristic are discussed.

Energy-aware scheduling for improving manufacturing process sustainability: a mathematical model for flexible flow shops

BRUZZONE, ALESSANDRO;ANGHINOLFI, DAVIDE;PAOLUCCI, MASSIMO;TONELLI, FLAVIO
2012-01-01

Abstract

Energy-aware scheduling (EAS) of manufacturing processes demands a mathematical model to optimally plan energy saving for a given schedule. The proposed approach starts from a reference schedule generated by an Advanced Planning & Scheduling (APS) system which does not consider energy saving. The new approach relies on a Mixed Integer Programming (MIP) model where the reference schedule is modified to account for energy consumption without changing the jobs’ assignment and sequencing provided by the reference schedule. The applicability of the approach has been validated through a test case; the results obtained using one commercial MIP solver and an original MIP-heuristic are discussed.
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/11567/348890
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 265
  • ???jsp.display-item.citation.isi??? 222
social impact