This paper addresses the so-called integrated process planning and scheduling (IPPS) problem in a reconfigurable manufacturing environment. Process planning and scheduling are two important and complex functions in manufacturing. To reduce the problem complexity, they are considered sequentially by traditional approaches. In this paper, we consider the simultaneous integration of both functions by developing a heuristic approach to solve the IPPS problem in a reconfigurable environment. Reconfigurable manufacturing systems (RMSs) comprise of a set of machines distinguished by multiple working configurations and tools. Each machine can perform a certain number of operations based on its configurations and their availability. The purpose of the proposed heuristic approach is to find the best assignment of operations to machines while considering process-quality. Finally, to demonstrate the approach applicability, an illustrative numerical example is presented and the results discussed.

Morganti L., Benderbal H.H., Benyoucef L., Bortolini M., Galizia F.G. (2020). A new process quality-based multi-objective multi-part approach for the integrated process planning and scheduling (IPPS) problem in reconfigurable manufacturing environment. AMSTERDAM : Elsevier [10.1016/j.ifacol.2020.12.2857].

A new process quality-based multi-objective multi-part approach for the integrated process planning and scheduling (IPPS) problem in reconfigurable manufacturing environment

Bortolini M.;Galizia F. G.
2020

Abstract

This paper addresses the so-called integrated process planning and scheduling (IPPS) problem in a reconfigurable manufacturing environment. Process planning and scheduling are two important and complex functions in manufacturing. To reduce the problem complexity, they are considered sequentially by traditional approaches. In this paper, we consider the simultaneous integration of both functions by developing a heuristic approach to solve the IPPS problem in a reconfigurable environment. Reconfigurable manufacturing systems (RMSs) comprise of a set of machines distinguished by multiple working configurations and tools. Each machine can perform a certain number of operations based on its configurations and their availability. The purpose of the proposed heuristic approach is to find the best assignment of operations to machines while considering process-quality. Finally, to demonstrate the approach applicability, an illustrative numerical example is presented and the results discussed.
2020
IFAC-PapersOnLine
10755
10760
Morganti L., Benderbal H.H., Benyoucef L., Bortolini M., Galizia F.G. (2020). A new process quality-based multi-objective multi-part approach for the integrated process planning and scheduling (IPPS) problem in reconfigurable manufacturing environment. AMSTERDAM : Elsevier [10.1016/j.ifacol.2020.12.2857].
Morganti L.; Benderbal H.H.; Benyoucef L.; Bortolini M.; Galizia F.G.
File in questo prodotto:
File Dimensione Formato  
A new process quality-based multi-objective multi-part approach for the integrated process planning and scheduling (IPPS) problem in reconfigurable manufacturing environment.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
Dimensione 529.61 kB
Formato Adobe PDF
529.61 kB Adobe PDF Visualizza/Apri

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/11585/826733
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact