Desarrollo y validación de un modelo multidimensional de la producción ajustada

  1. Marin-Garcia, Juan A.
  2. Carneiro, Paula
Journal:
Intangible Capital

ISSN: 1697-9818

Year of publication: 2010

Volume: 6

Issue: 1

Pages: 78-127

Type: Article

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More publications in: Intangible Capital

Abstract

En los ultimos 30 anos de investigacion sobre produccion ajustada se han propuesto deferentes cuestionarios para diagnosticar el grado de uso de este concepto. El conjunto de items empleado ha variado notablemente de una investigacion a otra. No se aprecia todavia un movimiento que converja hacia la utilizacion, por parte de los investigadores, de unos pocos instrumentos cuya validez y fiabilidad se haya contrastado en diferentes entornos. De hecho, la mayoria de las investigaciones se basan en cuestionarios ad-hoc y pocas de ellas presentan una validacion del cuestionario mas alla de verificar la unidimensionalidad y el �Ñ de Cronbach. Sin embargo, parece haber consenso en identificar 5 grandes constructos que componen la produccion ajustada (gestion de la calidad, flujo interno de produccion, mantenimiento, gestion de la cadena de suministro y la implicacion de los operarios). Nuestro trabajo ha consistido en identificar y resumir los modelos de produccion ajustada, identificando el modo en que agregan los items en constructos o sub-escalas de constructos. Posteriormente hemos desarrollado un cuestionario partiendo de los items que figuraban en los modelos publicados. Finalmente, hemos realizado la validacion de sub-escalas y modelos mediante un analisis factorial confirmatorio, usando datos de una muestra de Centros Especiales de Empleo espanoles (N=128). De todos los modelos planteados, el mejor ajuste se produce con el modelo de 20 sub-escalas de primer orden. Nuestro trabajo aporta una visión integradora comparando los modelos publicados previamente y la comprobando la validez y fiabilidad de las sub-escalas de producción ajustada planteadas por otros investigadores. Debido a su enfoque confirmatorio, puede servir de generalización de estudios que se habían realizado en contextos con muestras diferentes a las que nosotros hemos empleado para la replicación.

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