Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A unified modeling approach for the static-dynamic uncertainty strategy
  in stochastic lot-sizing   In this paper, we develop mixed integer linear programming models to compute
near-optimal policy parameters for the non-stationary stochastic lot sizing
problem under Bookbinder and Tan's static-dynamic uncertainty strategy. Our
models build on piecewise linear upper and lower bounds of the first order loss
function. We discuss different formulations of the stochastic lot sizing
problem, in which the quality of service is captured by means of backorder
penalty costs, non-stockout probability, or fill rate constraints. These models
can be easily adapted to operate in settings in which unmet demand is
backordered or lost. The proposed approach has a number of advantages with
respect to existing methods in the literature: it enables seamless modelling of
different variants of the above problem, which have been previously tackled via
ad-hoc solution methods; and it produces an accurate estimation of the expected
total cost, expressed in terms of upper and lower bounds. Our computational
study demonstrates the effectiveness and flexibility of our models.

6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat