Prognosis agent technology: influence on manufacturing organizations

Prognosis agent technology: influence on manufacturing organizations The objective of this paper is to examine the effect of prognosis agent technology (PAT) on manufacturing organization’s productivity and control. Extant literature advocates that various agents have been developed in the paradigms of designing, diagnosis, production, marketing, etc., but research on the effect of PAT on organizational output has not been explored yet. This paper uses the construct of PAT and checks its effect on performance of organizations. The research utilizes data collected from various manufacturing organizations. Based on literature survey, a set of hypotheses were proposed. Then, exploratory and confirmatory factor analyses were performed on collected data. Thereafter, a hypothetical model on PAT comprising five factors (manufacturing processes, fault identification, integration of manufacturing system with maintenance, manufacturing organization’s productivity, and control) is developed using structural equation modeling. All the hypotheses formed were supported, which indicates that the use of PAT in manufacturing organizations does increase organizational productivity and manufacturing control. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Prognosis agent technology: influence on manufacturing organizations

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Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-0025-7
Publisher site
See Article on Publisher Site

Abstract

The objective of this paper is to examine the effect of prognosis agent technology (PAT) on manufacturing organization’s productivity and control. Extant literature advocates that various agents have been developed in the paradigms of designing, diagnosis, production, marketing, etc., but research on the effect of PAT on organizational output has not been explored yet. This paper uses the construct of PAT and checks its effect on performance of organizations. The research utilizes data collected from various manufacturing organizations. Based on literature survey, a set of hypotheses were proposed. Then, exploratory and confirmatory factor analyses were performed on collected data. Thereafter, a hypothetical model on PAT comprising five factors (manufacturing processes, fault identification, integration of manufacturing system with maintenance, manufacturing organization’s productivity, and control) is developed using structural equation modeling. All the hypotheses formed were supported, which indicates that the use of PAT in manufacturing organizations does increase organizational productivity and manufacturing control.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Feb 25, 2017

References

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