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In this paper, a mathematical model for the strategic\udplanning and design of supply chains in the globalization\udcontext is proposed. A multi-objective function is used to\udaddress decisions about capacity sizing, sourcing, and\udfacility location, with the scope of maximizing supply chain\udprofits. The model is dynamic and is applied to a multiechelon,\udmulti-facility and multi-product supply chain in\udhypotheses of delocalization. The model is characterized by\udthe specific attention given to cost, revenue and financial\udfactor modelling, which has been obtained by means of an\udactivity-based approach and the inclusion of two drivers\udthat are usually neglected in the literature: energy and\udlabour. The model’s applicability and flexibility have been\udproved via a scenario analysis in which 12 different\udscenarios were implemented to reproduce the behaviour of\udmajor industries

A Multi-Parameter Model for Effective Configuration of Supply Chains