z-logo
open-access-imgOpen Access
AN INTEGRATED AHP-QFD APPROACH FOR EVALUATING COMPETING TECHNOLOGICAL PROCESSES
Author(s) -
Anirban Ganguly,
Donald N. Merino
Publication year - 2015
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v7i3.315
Subject(s) - quality function deployment , analytic hierarchy process , computer science , process (computing) , process management , selection (genetic algorithm) , management science , operations research , business , operations management , engineering , artificial intelligence , value engineering , operating system
A major challenge for decision makers in business organization is making appropriate choices among competing high-tech projects. The objective of this paper is to explore a multi-criteria analytical model that can be used for the selection and management of competing manufacturing technologies. The model uses an integrated approach combining Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) as the basis for selecting a preferred alternative from a set of competing projects. Integration of the two techniques helps to provide a more effective selection process. Two competing chemical processes to produce drugs are used as a case study to demonstrate and validate the AHP – QFD model. The policy makers of pharmaceutical and chemical organizations can use this model as a part of their strategic planning and decision-making process.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here