Fabio De Felice; Armando Carlomusto; AntonellaFabio De Felice; Armando Carlomusto; Antonella Petrillo

Department of Mechanism, Structures and Environment, University of C i i G Di Bi i 43 03043 C i It lCassino, via G. Di Biasio 43, 03043, Cassino - Italy

defelice@unicas.it, a.carlomusto@unicas.it, a.petrillo@unicas.it

September 14-16, 2011, ABANO TERME, Padova, ITALY

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

1 Problem Introduction;1. Problem Introduction;

2 Description of study;2. Description of study;

3 Methodological Approach;3. Methodological Approach;

4 Conclusions4. Conclusions.

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Advanced Technology

System R li bilit

Safety of

Technology Reliability

workers

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Man

MachineEnvironment

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

The scope of HRA is to…

IDENTIFY REPRESENT ANALYSE

ALL HUMAN ERRORS

BEFORE, DURING and AFTER ACCIDENTS

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

HRA METHODSHRA METHODS

2nd Generation1st Generation

-THERP- ASEP

HEP

- CREAM

- HEP- ecc.

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

CognitiveReliabilityyErrorAnalysis

Methodology

Method

1. Identify tasks that require cognitive processes by operators;y q g p y p ;

2. Determine conditions under which cognitive reliability can degrade to become risk;

3. Provide an impact estimate of human action on safety.

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 1.1: Definition of cognitive model

Sequential cognitive model

Cyclical cognitive model

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 1.1: Definition of cognitive model

ContextualControlModel

CoCoM

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 1.2: Definition of target and reference scenario

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 2.1: Global analysis of “system” and evaluation for human reliability study

QUALITATIVE LEVELQUALITATIVE LEVEL

CPCs M(man)T

(technology)O

(organization)

Quality and fitness for EfficientCPCy

tasks Efficient

Microclimatic conditions of the Compatible Compatible Compatible Common

workplace

Man-machine interaction and Unfit Fit Tolerable

PerformanceConditions

computer and mechanical support

Unfit Fit Tolerable

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 2.2: Tasks analysis or HTA analysis

CPCCPCsCommon Performance Conditions

Qualitative Level Expected Effect

Very Efficient ImprovedEfficient Not significant

Quality and fitness for tasksEfficient Not significantInefficient ReducedUnfit/Insufficient Reduced

Microclimatic conditions of theAdvantageous Improved

Microclimatic conditions of the workplace Compatible Not significant

Incompatible Reduced

Man-machine interaction and Support ImprovedFit Not significant

computer and mechanical supportg

Tolerable Not significantUnappropriate Reduced

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 2.3: Description of context of identified activities

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 3.1: Input data analysis

765

Σ Improved 432100

0 1 2 3 4 5 6 7 8 9

Σ Reduced

Reliability Intervalstrategictacticalopportunisticscrambled

IF PCM strategic OK

1,0 E-2 < p < 0,5 E-01,0 E-1 < p < 1,0 E-0

0,5 E-5 < p < 1,0 E-21,0 E-3 < p < 1,0 E-1

IF PCM strategic OKIF PCM tactical OKIF PCM opportunistic NOIF PCM scrambled NO vai a extended method

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

Activity 3.2: Translation of model in simulation software

Screenshot fof

SIMULATIONSOFTWARE

Fabio De Felice, Armando Carlomusto, Antonella Petrillo

XVI Summer School“Francesco Turco”

Industrial Mechanical Plants - SSD ING-Plants SSD ING

IND/17

In summary this model provides to….

1. Define production cycle organization;

2. Formulate Common Performance Conditions;

3. Determine reliability range of MTO and identification of control modes (strategic, tactical, opportunistic, scrambled);

4. Identify actions to be implemented to improve reliability, with numerical evaluation in terms of error probability.

Fabio De Felice, Armando Carlomusto, Antonella Petrillo