Simultaneous Backward Reduction algorithm for disassembly lot-sizing under random ordering lead time
Conférence : Communications avec actes dans un congrès international
In order to meet item demands, end-of-life
(EOL) product and subassembly ordering and disassembly
schedules are determined by disassembly lot sizing, which
is the subject of this study. We take into consideration
a stochastic version with undetermined ordering lead time
(OLT). In this case, OLT stands for the amount of time
that passes between placing and receiving an order (we can
only order EOL products). Throughout the planning horizon,
scenarios are used to model the stochasticity. The objective is
to reduce the expected total of setup, purchasing, inventory,
and backlog expenses. This is achieved by expressing the
problem as a two-stage mixed integer linear programming (2SMILP)
model across all potential scenarios. The 2S-MILP is
unsolvable since it is predicated on every scenario conceivable.
A Simultaneous Backward Reduction approach is proposed to
make it tractable. To confirm the suggested method’s efficacy,
it is assessed in a variety of environments.