Evaluating logistics network configurations for a global supply chain
Year: 2010
Type: article
Abstract: Purpose This paper aims to identify and assess different configurations to design logistics networks in global sourcing contexts. A framework to support the choice of the most suitable logistics network is developed. Design/methodology/approach Starting from an overview of previous research on global sourcing and global logistics network design, followed by a series of interviews with international freight forwarders and logistics providers, five main logistics network configurations are identified and the paper proposes a framework to evaluate their cost‐effectiveness, deriving the overall logistics cost by means of simulation. Findings On the basis of the analysis of different scenarios the paper develops a taxonomy for selecting the most suitable logistics network configuration, with respect to some key logistics factors and purchasing strategies. Research limitations/implications The analysis has been focused on ocean container shipping, the primary transportation mode for world trade. Practical implications In a context characterised by the widespread adoption of direct shipment with full container load (FCL) ocean shipping (with implications on inventory levels), the provided taxonomy can represent a useful tool to support companies in choosing the most suitable combination of configurations for setting their global logistics network. Originality/value The impact of globalisation on logistics network configuration has received little attention from supply chain researchers to date. The originality of the present paper is twofold. First, a framework to assess the overall logistics costs is developed. Second, the paper presents an original taxonomy for the selection of the most suitable logistics network.
Authors: A. Creazza, F. Dallari, M. Melacini
Institutions: University Carlo Cattaneo, Politecnico di Milano
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2163534409
