A fuzzy-AHP multi-criteria decision making model for procurement process

SAAD, Sameh, KUNHU, Noufal and MOHAMED, Abdalah (2015). A fuzzy-AHP multi-criteria decision making model for procurement process. International Journal of Logistics Systems and Management (IJLSM), 23 (1), 1-24.

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Official URL: http://www.inderscienceonline.com/doi/abs/10.1504/...
Link to published version:: https://doi.org/10.1504/IJLSM.2016.073295
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Abstract

The purpose of this study is to develop a fuzzy-AHP multi-criteria decision making model for procurement process. It aims to measure the procurement performance in the automotive industry. As such measurement of procurement will enable competitive advantage and provide a model for continuous improvement. The rapid growth in the market and the level of competition in the global economy transformed procurement as a strategic issue; which is broader in scope and responsibilities as compared to purchasing. This study reviews the existing literature in procurement performance measurement to identify the key areas of measurement and a hierarchical model is developed with a set of generic measures. In addition, a questionnaire is developed for pair-wise comparison and to collect opinion from practitioners, researchers, managers etc. The relative importance of the measurement criteria are assessed using Analytical Hierarchy Process (AHP) and fuzzy-AHP. The validity of the model is confirmed with the results obtained.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Systems Modelling and Integration Group
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number: https://doi.org/10.1504/IJLSM.2016.073295
Page Range: 1-24
Depositing User: Sameh Saad
Date Deposited: 16 Nov 2016 12:43
Last Modified: 18 Mar 2021 00:23
URI: https://shura.shu.ac.uk/id/eprint/14012

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