Quality function deployment technology applications and their impact on value engineering Exploratory study of a number of private hospitals in Baghdad1

Abstract

The value engineering method works to improve the performance of projects and productive organizations and tries to keep the cost at its lowest levels by improving the performance of activities and eliminating non-value-adding ones, and at the same time, the quality function deployment technique improves the quality of the product, by listening to the consumer’s voice, and from this point of view, the research problem has been determined by the gap that has emerged and exacerbated in the patient, and the health care institutions that are looking to attract him and improve his value. Several questions have crystallized about the research problem, the most important of which centered on the impact of the dimensions of the quality function deployment technique in value engineering by the organization in order to improve patient satisfaction, and what is the nature and level of interest in research variables (publishing the quality function and value engineering) in hospitals the research sample, so we will try in this The research clarifies whether there is an effect of the technique of spreading the quality function on value engineering to enhance the quality of services provided by the health sector in Iraq, using a questionnaire distributed over three premium-class private hospitals in the city of Baghdad, and a number of appropriate statistical methods were used to process the data. As for the most prominent conclusions, the results of the multiple linear regression analysis of the research variables revealed that the technique of publishing the quality function has a direct significant impact on value engineering in the surveyed hospitals, specifically the results showed that the publication of the quality function with its moral dimensions (voice of workers, technical comparison) respectively and after deleting the two non-significant dimensions of it , able to explain about (67%) of the changes that occur in value engineering.