Logistics capabilities measurement in the fractal supply network

SAAD, Sameh and BAHADORI, Ramin (2020). Logistics capabilities measurement in the fractal supply network. International Journal of Logistics Systems and Management (IJLSM), 36 (2), 251-281.

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Link to published version:: https://doi.org/10.1504/IJLSM.2020.107388


Measurement of logistics capabilities will enable firms to provide order winners by adding value for products and services during the different stage of supply chain to win the competition and enhance firm's performance and customer's satisfaction. Therefore, the purpose of this research is to develop a Fuzzy-AHP multi-criteria decision-making model to measure logistics capabilities in the fractal supply network. The key areas of measurement within a fractal supply network are identified and a hierarchical model is proposed with a set of generic measures. In addition, a questionnaire is developed for pair-wise comparison and to collect opinions from practitioners, researchers and managers to validate the proposed model. The relative importance of the measurement criteria is assessed using analytical hierarchy process (AHP) and Fuzzy-AHP. Hence, the validity of the model is confirmed with the results obtained.

Item Type: Article
Uncontrolled Keywords: 1503 Business And Management; Business & Management
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.2020.107388
Page Range: 251-281
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 26 Oct 2018 08:33
Last Modified: 12 Oct 2023 10:16
URI: https://shura.shu.ac.uk/id/eprint/23044

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