Instances and identifiers are described in Watermeyer, K.; Zimmermann, J. (2020): A branch-and-bound procedure for the resource-constrained project scheduling problem with partially renewable resources and general temporal constraints, OR Spectrum 42 (2), 427-460.

• input-format of the testsets
• test set ubo10pi
• test set ubo20pi
• test set ubo50pi
• test set ubo100pi
• test set ubo200pi

Generation parameters are described in K. Watermeyer, J. Zimmermann (2021): A partition-based branch-and-bound algorithm for the project duration problem with partially renewable resources and general temporal constraints, OR Spectrum, advance online publication, doi:10.1007/s00291-021-00654-9.

• input-format of the testsets
• test setj100pi
• test set j200pi

For more information:

Seifi, C.; Schulze, M.; Zimmermann, J., A new mathematical formulation for a potash-mine shift scheduling problem with a simultaneous assignment of machines and workers, European Journal of Operational Research (2020), DOI: https://doi.org/10.1016/j.ejor.2020.10.007

• 100 realistic instances
• 8 instances with similar characteristics

Instances and identifiers are described in Kreter, S.; Schutt, A.; Stuckey, P.J.; Zimmermann, J. (2016): Mixed-integer Linear Programming and Constraint Programming Formulations for Solving Resource Availability Cost Problems, submitted to European Journal of Operational Research.

• RACP
• RACP/max
• RACP/max-cal

• Multi-project skilled workforce selection problem (MPSWS)/Project selection problem
  
  Instances and identifiers are described in Walter, M.: "Multi-project managment with a multi-skilled workforce: A quantitative approach aiming at small project teams", Ph.D. thesis, Clausthal University of Technology, Springer, Berlin, to be released
  
  Test sets with different numbers of projects(Tables 7.3 to 7.6)
  
  Test sets with different numbers of workers and projects(Tables 7.8 and 7.9)
  
  Test sets with different ratios of project requirements to workforce availability(Figure 7.2)
  
  Test sets with different numbers of skills per worker(Table 7.10 and Figure 7.3)
  
  Test sets with different skill chaining strategies(Table 7.12)
  
  
• Multi-project skilled workforce assignment problem (MPSWA)/Workforce assignment problem/Project staffing problem
  
  Instances and identifiers are described in Walter, M.: "Multi-project managment with a multi-skilled workforce: A quantitative approach aiming at small project teams", Ph.D. thesis, Clausthal University of Technology, Springer, Berlin, to appear; and in Walter, M., Zimmermann J.: "Minimizing average project team size given a multi-skilled workforce with heterogeneous skill levels", to be released
  
  Instance sets oftestbed 1
  
  Instance sets oftestbed 2
  
  Instance sets oftestbed 3
  
  
• Utilization leveling problem
  
  Instances and identifiers are described in Walter, M.: "Multi-project managment with a multi-skilled workforce: A quantitative approach aiming at small project teams", Ph.D. thesis, Clausthal University of Technology, Springer, Berlin, to be released
  
  Test sets of the utilization leveling problem(Table 7.42)

• We use the identifiers from Kreter, S.; Rieck, J.; Zimmermann, J. (2016): Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars, European Journal of Operational Research 251 (2), 387-403. Instances with 200 and 500 activities, respectively, were introduced in Kreter, S.; Schutt, A.; Stuckey, P.J. (2016): Using constraint programming for solving RCPSP/max-cal, submitted to Constraints.
• Input-structureof the testsets.
• Testset10-60Results10-60.
• test set10-80Results10-80.
• test set20-60Results20-60.
• test set20-80Results20-80.
• test set50-60Results50-60.
• test set50-80Results50-80.
• test set100-60Results100-60.
• test set100-80Results100-80.
• test set200-60Results200-60.
• test set200-80Results200-80.
• test set500-60Results500-60.
• test set500-80Results500-80.

• We use the identifiers from Rieck, J.; Zimmermann, J.:
  Exact solutions to the symmetric and asymmetric vehicle routing problem with simultaneous delivery and pick-up, Technical Report (2012), Clausthal University of Technology.
• Input-structureof the testsets.
• Instances and results:Class 1.
• Instances and results:Class 2.
• Instances and results:Class 3.
• Instances and results:Class 4.
• Instances and results:Class 5.
• Instances and results:Class 6.
• Instances and results:Class 7.

• We use the identifiers from Rieck, J.; Ehrenberg, C.; Zimmermann, J.: Many-to-many Location-Routing with Inter-Hub Transport and Multi-Commodity Pickup-and-Delivery, Technical Report (2012), Clausthal University of Technology.
• Input-structureof the testsets.
• Parameter-files.
• Testset 'random' (REZ_R):
  • Instances and results for REZ_R_12
  • Instances and results for REZ_R_13
  • Instances and results for REZ_R_14
  • Instances and results for REZ_R_15
  • Instances and results for REZ_R_16
  • Instances and results for REZ_R_17
• Testset 'regionally clustered' (REZ_C):
  • Instances and results for REZ_C_12
  • Instances and results for REZ_C_13
  • Instances and results for REZ_C_14
  • Instances and results for REZ_C_15
  • Instances and results for REZ_C_16
  • Instances and results for REZ_C_17

• We use the identifiers from Schulze, M.; Rieck, J.; Seifi, C.; Zimmermann, J. (2016): Machine scheduling in underground mining: an application in the potash industry, OR Spectrum, 38(2), 365-403.
• Input structureof the testsets.
• Test set30_5.
• Test set60_10.
• test set120_20.
• test set120_15.
• test set240_30.
• test set240_20.

submitted to Journal of Scheduling

• Testset 1 (Instance 1-100)
• Test set 2.1 (101-150)
• Test set 2.2 (151-160)
• Test set 2.3 (161-170)
• Test set 2.4 (171-180)
• Test set 2.5 (181-190)
• Test set 2.6 (191-200)

Instances and identifiers are described in the article "A Long-Term Unit Commitment Problem with Hydro-Thermal Coordination for Economic and Emission Control in Large-Scale Electricity Systems" by Franz, A. and Zimmermann, J. (submitted to Journal OR Spectrum).

• Instances
  • Test set 'T1'
  • Testset 'T2'
• Results for 'T1' and 'T2'
  Instances are solved using our "two-stage heuristic approach" for the Unit Commitment Problem with hydro-thermal coordination.