TY - JOUR
T1 - Mixed integer linear programming formulation for flexibility instruments in capacity planning problems
AU - Tavaghof-Gigloo, Dariush
AU - Minner, Stefan
AU - Silbermayr, Lena
PY - 2016
Y1 - 2016
N2 - We present a mixed integer linear programming (MILP) approach for an aggregate production planning (APP) problem of an electronics manufacturer. A multi-item, multi-facility, multi-stage capacity planning problem over a finite planning horizon with deterministic demand is considered. We include the flexibility instruments shift planning, overtime account, and flexible maintenance. We present an extensive computational study where the proposed model is applied in a real-world case study and for randomly generated instances. Using a full factorial experimental design we evaluate the cost saving potentials of the flexibility instruments and their combinations. The computational efficiency of the proposed model formulation is investigated by different MILP solvers.
AB - We present a mixed integer linear programming (MILP) approach for an aggregate production planning (APP) problem of an electronics manufacturer. A multi-item, multi-facility, multi-stage capacity planning problem over a finite planning horizon with deterministic demand is considered. We include the flexibility instruments shift planning, overtime account, and flexible maintenance. We present an extensive computational study where the proposed model is applied in a real-world case study and for randomly generated instances. Using a full factorial experimental design we evaluate the cost saving potentials of the flexibility instruments and their combinations. The computational efficiency of the proposed model formulation is investigated by different MILP solvers.
U2 - 10.1016/j.cie.2016.04.013
DO - 10.1016/j.cie.2016.04.013
M3 - Journal article
SN - 0360-8352
VL - 97
SP - 101
EP - 110
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -