Carnegie Mellon University - Engineering
Grossmann
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
PhD
Chemical Engineering
Algorithms
Mathematical Programming
Applied Mathematics
Chemical Engineering
An efficient reformulation of the multiechelon stochastic inventory system with uncertain demands
Tapio Westerlund
It is shown that by reformulating the three-stage multiechelon inventory system with specific exact linearizations
larger problems can be solved directly with mixed-integer linear programming (MILP) without decomposition. The new formulation is significantly smaller in the number of continuous variables and constraints.
An efficient reformulation of the multiechelon stochastic inventory system with uncertain demands