Lot sizing: results for Trigeiro's random instances


Results obtained using Gurobi for solving the Lot Sizing Problem, using the models described in Mathematical Optimization: Solving Problems using Python and Gurobi. Benchmark instances were generated with Trigeiro's method. CPU time limited to 3600 seconds. (Click on values for selecting data to display.)

Performance dataFactor: lowFactor: medFactor: high
CPU time required [select] [select] [select]
Number of solution failures [select] [select] [select]
Solutions [select] [select] [select]

Solutions failed

Constraining factor: low (lightly constrained instances)

Results obtained using Gurobi for solving the Lot Sizing Problem, using the models described in Mathematical Optimization: Solving Problems using Python and Gurobi. Benchmark instances were generated with Trigeiro's method. CPU time limited to 3600 seconds. (Click on values for selecting data to display.)
Solutions failed
LabelDescription
std standard model
cut standard model with cutting planes (single item lot sizing cuts; callback on MIPSOL and MIPNODE)
fl facility location formulation

chart
Number of failed solution attempts, factor=0.75 (low)
InstanceSizestdcutfl
15x6 90 0 0 0
15x12, 30x6 180 0 0 0
15x24, 30x12 360 0 0 0
30x24 720 0 0 0