This work presents a structured framework for the selection of the best inbound logistic policy, in a supplier-buyer relationship. Defining long lasting collaborations is a strategic issue, involving considerations of several parameters in terms of benefits, opportunities, costs and risks (BOCR). To support decision makers, the paper proposes a multi-criteria BOCR, which integrates a high level analytical hierarchy process (AHP) with a low level analytic network process (ANP). The latter one concerns operational issues, while the first one aggregates results from a strategically oriented point of view. The novelty of the approach relies in the way in which decision criteria have been structured in the form of decision networks: this makes it possible not only to streamline the analysis, but it also assures a high degree of flexibility. An industrial application is finally presented as experimental validation; obtained results demonstrate the quality and the robustness of the approach.

Selecting inbound logistic policies: an ANP-based multi criteria decision making approach

CARMIGNANI, GIONATA
2014

Abstract

This work presents a structured framework for the selection of the best inbound logistic policy, in a supplier-buyer relationship. Defining long lasting collaborations is a strategic issue, involving considerations of several parameters in terms of benefits, opportunities, costs and risks (BOCR). To support decision makers, the paper proposes a multi-criteria BOCR, which integrates a high level analytical hierarchy process (AHP) with a low level analytic network process (ANP). The latter one concerns operational issues, while the first one aggregates results from a strategically oriented point of view. The novelty of the approach relies in the way in which decision criteria have been structured in the form of decision networks: this makes it possible not only to streamline the analysis, but it also assures a high degree of flexibility. An industrial application is finally presented as experimental validation; obtained results demonstrate the quality and the robustness of the approach.
Zammori, F.; Bigliardi, B.; Carmignani, Gionata
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/243938
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