Probabilistic methods in life-cycle design

This paper summarizes our progress in using probabilistic methods to enable both single-domain and multiple-domain considerations in life cycle design. As an example of a single-domain application, a probability-based reliability model that describes the effect of remanufacture on the reliability of parts and systems is outlined and experimentally verified. This reliability model is applied to fastening systems and used to calculate fastening-related remanufacture costs. These costs are integrated with other life-cycle fastening-related costs, thus enabling the simultaneous consideration of multiple domains. The combined life-cycle cost is optimized using genetic algorithms. The implementation and general results of genetic algorithm-based optimization of a product fastening and joining plan are described