Publications

Citation metrics can be found on Google Scholar.

TY  - JOUR
ID  - HeGo14
T1  - Comparison of Two Integer Programming Formulations for a Single Machine Family Scheduling Problem to Minimize Total Tardiness
A1  - Herr, O.
A1  - Goel, A.
JA  - Procedia CIRP
Y1  - 2014
VL  - 19
SP  - 174
EP  - 179
M2  - doi: 10.1016/j.procir.2014.05.007
N2  - Abstract This paper studies the single machine family scheduling problem in which the goal is to minimize total tardiness. We analyze two alternative mixed-integer programming (MIP) formulations with respect to the time required to solve the problem using a state-of-the-art commercial MIP solver. The two formulations differ in the number of binary variables: the first formulation has O(n²) binary variables whereas the second formulation has O(n³) binary variables, where n denotes the number of jobs to be scheduled. Our findings indicate that despite the significant higher number of binary variables, the second formulation leads to significantly shorter solution times for problem instances of moderate size.
ER  -