Abstract. Supply chain design, management and assessment are key success drivers in nowadays globalised economy. With the advent of new paradigms such as sustainability and mass customization, a new generation of tools is required. This work presents a supply chain simulation tool that allows to take into account the specificity of mass customized markets, efficiently dealing with the adjustable product physical structure and the complexity of handling customized Lot Size One orders. Moreover, this tool is integrated with a sustainable Assessment Engine that allows to configure, since the product design phase, the entire supply chain in a lifecycle perspective. In order to ensure a wide applicability of the tool, this is developed using a client-server architecture and exploiting a Shared Data Model that facilitates the integration of many applications coming from different providers thus giving a powerful decision support tool to companies' decision makers.
Sustainability is an emerging factor companies are called for considering in their business according to the growing people-awareness about the impact of their behaviour as customers against environmental, social and economic issues. However, companies seldom manage to focus on sustainability all along the design and decisional process due to lack of proper sustainability measurement systems and/or inability to propagate this analysis on all the actors involved in the extended production system defmition.This paper presents a novel approach aimed at supporting an integrated product, production system and supply chain design for sustainability. This goal will be pursued by, flrst, providing the system architecture of a system that supports the design activities taking place at the abovementioned three levels and, second, a data model encompassing all the required entities of the design for implementing the sustainability assessment.Keywords Sustainability, data model, assessment model, product development, supply chain.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.