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When a business decides to outsource its logistics operations to improve its performance, the organization will need to select a third‐party logistics provider (3PL) that shares common goals and satisfies service level requirements. In this paper, we identify a set of 3PL performance measures from the perspective of the supply chain and organize them into a time‐phased format, beginning with the post production stage and continuing through the delivery of the goods to the customer distribution center. The supply chain flow is presented as a Metrics Arrow. To integrate the performance metrics (PM) into one model, we propose an analytical network process (ANP) to capture all PM and to understand the interrelated influences among them. Additionally, to derive the weights for PM, the proposed ANP model offers managerial insight into the relative impact of each metric as well as warning signals or trigger points within the network of PM. The model provides a realistic framework to choose the 3PL that can help achieve the greatest improvements within the supply chain. Copyright © 2012 John Wiley & Sons, Ltd.

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As members of society become more conscious of environmental\ud issues and global warming, they will be asking more questions about the\ud products they are purchasing. Companies will be expected to promote how\ud green their manufacturing processes and supply chain are, their carbon\ud footprint, and how they recycle. A number of companies have already shown\ud that there is proof of the link between improved environmental performance\ud and financial gains. This comprehensive focus has led to the revolution of\ud Green Supply Chain Management (GSCM). The aim of the present work is to\ud propose an integrated model that a firm may use to evaluate its own supply\ud chain’s environmental performance. The proposed approach promotes\ud sustainable development that can be measured in terms of societal and\ud economic sustainability. The model integrates environmental indexes based on\ud Environmental Performance Evaluation (EPA) and the Life Cycle Assessment\ud (LCA) approach with a multi-criteria model based on the Analytic Network\ud Process (ANP) and Benefits, Opportunities, Costs and Risks (BOCR) analysis