%0 Book Section
%A Inderfurth, Karl
%A Langella, Ian M.
%A Transchel, Sandra
%A Vogelgesang, Stephanie
%E Tempelmeier, Horst
%E Kuhn, Heinrich
%T A heuristic approach for the disassemble-to-order problem under binomial yields
%B Proceedings to the Ninth International Conference on Stochastic Models of Manufacturing and Service Operations
%D 2013
%P 71–78
%! Inderfurth, Langella et al. 2013 – A heuristic approach
%X In disassemble-to-order (DTO) systems randomness of recoverable parts gained from used products creates a major challenge for appropriate planning. Typically, it is assumed that yields from disassembly are either stochastically proportional (SP) or follow a binomial (BI) process. In the case of yield misspecification, it can be shown that the BI yield assumption usually results in a lower penalty than the SP yield assumption. For BI yield, however, a suitable, powerful heuristic is needed in order to facilitate DTO problems olving for complex realworld product structures. We present a heuristic approach that is based on a ecomposition procedure for the underlying non-linear stochastic optimization problem and that can be applied to problems of arbitrary size. A numerical performance study reveals that this heuristic yields close - to - optimal results.