Title: Logistics capabilities measurement in the fractal supply network

Authors: Sameh M. Saad; Ramin Bahadori

Addresses: Department of Engineering and Mathematics, Sheffield Hallam University, City Campus, Howard Street, Sheffield S1 1WB, UK ' Department of Engineering and Mathematics, Sheffield Hallam University, City Campus, Howard Street, Sheffield S1 1WB, UK

Abstract: 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 analytic hierarchy process (AHP) and fuzzy-AHP. Hence, the validity of the model is confirmed with the results obtained.

Keywords: fractal supply network; logistics capabilities measurement; supply chain; multi-criteria decision-making; fuzzy-AHP.

DOI: 10.1504/IJLSM.2020.107388

International Journal of Logistics Systems and Management, 2020 Vol.36 No.2, pp.251 - 281

Received: 11 May 2018
Accepted: 18 Oct 2018

Published online: 20 May 2020 *

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