This paper concerns the analysis of Engineering Planning times for a Direct Fired Heater using a Six Sigma approach. The purpose is the validation of congruency between scheduled engineering design activities and the performed ones. The analysis aims to discover the relationship between scheduled times and performed ones, trying to discern the causes that may create any delay/advance in delivery dates. This because any delay may create a “reactive” Over-Run (where Over-Run means every extraordinary time spent by a resource over his established labour time), or that may cause the delivery to be early, thus creating a “forecast” Over-Run. Since the Six Sigma methodology is strongly focused on an analytical approach in order to resolve any kind of problem attacking the route-causes, this paper shows the flexibility and the power of the methodology, even though this is a study (not a complete project), to achieve a better knowledge of the process (planning times activities), by means of numerical and statistical tools. In particular to improve the design of scheduling activities, the paper describes an application of Quality Function Deployment (QFD) and Axiomatic Design (AD)

Analysis of scheduled Engineering Design

Arcidiacono G;
2011-01-01

Abstract

This paper concerns the analysis of Engineering Planning times for a Direct Fired Heater using a Six Sigma approach. The purpose is the validation of congruency between scheduled engineering design activities and the performed ones. The analysis aims to discover the relationship between scheduled times and performed ones, trying to discern the causes that may create any delay/advance in delivery dates. This because any delay may create a “reactive” Over-Run (where Over-Run means every extraordinary time spent by a resource over his established labour time), or that may cause the delivery to be early, thus creating a “forecast” Over-Run. Since the Six Sigma methodology is strongly focused on an analytical approach in order to resolve any kind of problem attacking the route-causes, this paper shows the flexibility and the power of the methodology, even though this is a study (not a complete project), to achieve a better knowledge of the process (planning times activities), by means of numerical and statistical tools. In particular to improve the design of scheduling activities, the paper describes an application of Quality Function Deployment (QFD) and Axiomatic Design (AD)
2011
Engineering Planning
Over-Run
Schedule Variance
File in questo prodotto:
File Dimensione Formato  
ICAD-45-final.pdf

non disponibili

Dimensione 848.76 kB
Formato Adobe PDF
848.76 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/20.500.14241/1852
 Attenzione

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

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