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110<<strong>br</strong> />

Os resultados obtidos confirmam Teboul (1991), “as medi<strong>da</strong>s de produtivi<strong>da</strong>des<<strong>br</strong> />

obti<strong>da</strong>s pela relação entre as quanti<strong>da</strong>des produzi<strong>da</strong>s e os fatores humanos, levandose<<strong>br</strong> />

em consideração o conjunto <strong>da</strong> produção, seja ela boa ou má, privilegiam o volume<<strong>br</strong> />

à custa <strong>da</strong> quali<strong>da</strong>de.”<<strong>br</strong> />

b) Indicador: Down Time<<strong>br</strong> />

CAPACIDADE<<strong>br</strong> />

DE RESPOSTA<<strong>br</strong> />

Antes <strong>da</strong> <strong>implementação</strong> do<<strong>br</strong> />

GMS / BPD<<strong>br</strong> />

Após a <strong>implementação</strong> do<<strong>br</strong> />

GMS / BPD<<strong>br</strong> />

Ano Ano - – 2000 2000 Ano –- 2003<<strong>br</strong> />

15<<strong>br</strong> />

= =<<strong>br</strong> />

X=7,36<<strong>br</strong> />

X=4,79<<strong>br</strong> />

DOWN<<strong>br</strong> />

TIME<<strong>br</strong> />

12<<strong>br</strong> />

9<<strong>br</strong> />

6<<strong>br</strong> />

3<<strong>br</strong> />

0<<strong>br</strong> />

jan fev mar a<strong>br</strong> mai jun jul ago<<strong>br</strong> />

jan fev mar a<strong>br</strong> mai jun jul ago<<strong>br</strong> />

Down Time<<strong>br</strong> />

(Absoluto) *<<strong>br</strong> />

Down Time<<strong>br</strong> />

(Relativo) %<<strong>br</strong> />

8,5<<strong>br</strong> />

100<<strong>br</strong> />

5,2<<strong>br</strong> />

61<<strong>br</strong> />

6,9<<strong>br</strong> />

81<<strong>br</strong> />

5,5<<strong>br</strong> />

65<<strong>br</strong> />

7,6<<strong>br</strong> />

89<<strong>br</strong> />

6,3<<strong>br</strong> />

74<<strong>br</strong> />

7,4<<strong>br</strong> />

87<<strong>br</strong> />

11,5<<strong>br</strong> />

135<<strong>br</strong> />

5,7<<strong>br</strong> />

100<<strong>br</strong> />

3,8<<strong>br</strong> />

67<<strong>br</strong> />

4,3<<strong>br</strong> />

75<<strong>br</strong> />

2,6<<strong>br</strong> />

46<<strong>br</strong> />

6,6<<strong>br</strong> />

116<<strong>br</strong> />

4,7<<strong>br</strong> />

82<<strong>br</strong> />

5,7<<strong>br</strong> />

100<<strong>br</strong> />

4,9<<strong>br</strong> />

86<<strong>br</strong> />

(*) minutos / linha / para<strong>da</strong>s<<strong>br</strong> />

Figura 23 - Comparação Down Time<<strong>br</strong> />

A <strong>com</strong>paração ilustra<strong>da</strong> pelo gráfico <strong>da</strong> Figura 23, mostra que, houve uma<<strong>br</strong> />

melhora de 36,8% após a <strong>implementação</strong> do GMS/BPD. Observou-se que melhorou a<<strong>br</strong> />

capaci<strong>da</strong>de de resposta <strong>na</strong> agili<strong>da</strong>de para atender o cliente. Os motivos <strong>da</strong>s para<strong>da</strong>s e<<strong>br</strong> />

o tempo envolvido, passaram a ser rigorosamente controlados e registrados para<<strong>br</strong> />

ocorrer à melhoria contínua (DEMING, 1986).<<strong>br</strong> />

Uma vez reduzido à porcentagem de Down Time tem-se <strong>com</strong>o conseqüência<<strong>br</strong> />

um aumento <strong>da</strong> produtivi<strong>da</strong>de, além <strong>da</strong> redução de mão-de-o<strong>br</strong>a ociosa, um dos<<strong>br</strong> />

grandes desperdícios <strong>da</strong> Manufatura Enxuta em concordância <strong>com</strong> (OHNO, 1997).

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