In this paper, we develop a unified mixed integer linear modelling approach to compute near-optimal policy parameters for the non-stationary stochastic lot�...

In this paper, we develop a unified mixed integer linear modelling approach to compute near-optimal policy parameters for the non-stationary stochastic lot�...

In this paper, we develop enhanced mixed integer linear programming models to compute near-optimal policy parameters for the static-dynamic uncertainty strategy�...

An efficient computational method for a stochastic dynamic lot-sizing problem under service-level constraints ... Eur. J. Oper. Res. 2011.

Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing. Roberto Rossi, Onur A. Kilic, S Armagan Tarim.

Rossi, O. A. Kilic, S. A. Tarim, "Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing", OMEGA - the�...

Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing. Submitted to Omega, arXiv:1307.5942, 2013. Other�...

Jul 23, 2013 � In this paper, we develop mixed integer linear programming models to compute near-optimal policy parameters for the non-stationary stochastic lot sizing�...

Feb 5, 2014 � ... Piecewise linear approximations for the static-dynamic uncertainty strategy in stochastic lot-sizing' Omega, vol 50, no. 1, pp. 126-140�...

In this paper, we first introduce a generalized version of the (R,S) policy that accounts for piecewise linear concave ordering costs and develop a mixed�...