Multidimensional Approximation Algorithms for Capacity-Expansion Problems

نویسندگان

  • Van-Anh Truong
  • Robin Roundy
چکیده

We develop multi-dimensional balancing algorithms to compute provably near-optimal capacity-expansion policies. These are the first approximation algorithms for multi-machine, multi-product systems facing stochastic, non-stationary and correlated demands. Our approach is computationally efficient and guaranteed to produce a policy with total expected cost no more than twice that of an optimal policy. We overcome the curse of dimensionality by introducing novel separable schemes to decompose the lost-sales cost to the system by machine types. We make the assumptions of minimal inventory and lost sales. We treat two different models for making production decisions at each time instant: Monotone Production and Revenue-Maximizing Production. 1 Professor Van-Anh Truong joined the Industrial Engineering and Operations Research Department in 2010. She received a Bachelor's degree from University of Waterloo in Mathematics in 2002, and a Ph.D. from Cornell University in Operations Research in 2007. Before going to Columbia, she was a quantitative associate at Credit Suisse, and a quantitative researcher at Google. She is interested in capacity planning, inventory theory, general supply-chain management, and healthcare.

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عنوان ژورنال:
  • Operations Research

دوره 59  شماره 

صفحات  -

تاریخ انتشار 2011