A mathematical programming tool for LCI-based product design and case study for a carpet product

Products are produced by a series of energy-intensive transformations of raw materials such as crude oil. The life cycle inventory (LCI) of mass and energy usage in these supply chains is one measure of overall environmental performance. In this paper, we present a methodology to examine the life cycle choices available for a product and optimize these choices based on criteria derived from mass and energy efficiency. A two-phase framework for production path construction followed by optimal path selection was developed. This framework can be applied to improve the overall LCI energy characteristic of a product when there are different production and recycling options for different product constituents. The scope of the life cycle is from raw material extraction through the production system and does not include the use and disposal phases. The approach is illustrated in a case study of the EcoWorx™ carpet system of Shaw Industries, which includes the inclusion of several recycled material options.