Results
- Victor Fernandez-Viagas, Carla Talens, Jose M. Framinan, “Assembly flowshop scheduling problem: Speed-up procedure and computational evaluation”, European Journal of Operational Research
- Problem-specific theoretical results (pdf file).
- Talens C, Perez-Gonzalez P, Fernandez-Viagas V, Framinan JM, “New hard benchmark for the 2-stage multi-machine assembly scheduling problem: Design and computational evaluation”, Computers and Industrial Engineering
- Perez-Gonzalez P, Fernandez-Viagas V, Framinan JM, Permutation flowshop scheduling with periodic maintenance and makespan objective, Report (2019)
- Instances
- Big-size instances: Taillard TestBed
- Small-size instances (zip file, MILP instances) 180 instances
- Small-size instances (zip file, Complete enumeration instances) 600 instances
- Results
- Instances
- Talens C, Fernandez-Viagas V, Perez-Gonzalez P, Framinan JM, “New efficient constructive heuristics for the two-stage multi-machine assembly scheduling problem”, Computers & Industrial Engineering
- Instances (zip file instances_mma)
- Excel file with the best-so-far solutions for the instances (excel file results_mma)
- Fernandez-Viagas V, Framinan JM, “Design of a testbed for hybrid flow shop scheduling with identical machines”, Computers and Industrial Engineering.
- Small-size instances (zip file, Small_Size_Instances)
- Big-size instances (zip file, Big_Size_Instances)
- Upper bounds (excel file, Upper_Bound.xlsx)
- Framiñán JM, Perez-Gonzalez P, “New approximate algorithms for the customer order scheduling problem with total completion time objective“, Computers & Operations Research (2017), 78, pp. 181-192.
- Testbed instance 1 (small instances, zip file testbed_1_s.zip)
- Testbed instance 1 (big instances, zip file testbed_1_b.zip)
- Testbed instance 2 (small instances, zip file testbed_2_s.zip)
- Testbed instance 2 (big instances, zip file testbed_2_b.zip)
- Instructions referring to the format of the files: (first row) no_machines no_orders (second row) processing times for the first order on each machine (third row) processing times for the second order on each machine ….
- Excel file with the best-so-far solutions for the big instances
- Excel file with the best-so-far solutions for the small instances
- Framinan JM, Perez-Gonzalez P, Order Scheduling with Tardiness Objective: Improved Approximate Solutions, 2018, European Journal of Operational Research, 266 (3), 840-850.
- Testbed SMALL (2,700 instances) (small instances, zip file cos_tardiness_SMALL.zip)
- Testbed BIG (1,440 instances) (big instances, zip file cos_tardiness_BIG.zip)
- Instructions referring to the format of the files: (first row) no_machines no_orders (second row) processing times for the first order on each machine + due date of the first order (third row) processing times for the second order on each machine + due date of the second order ….
- Excel file with the best-so-far solutions for the testbed SMALL
- Excel file with the best-so-far solutions for the testbed BIG
- Perez-Gonzalez P, Fernandez-Viagas V, Zamora García M, Framinan JM, Constructive heuristics for the unrelated parallel machines scheduling problem with machine eligibility and setup times, Computers & Industrial Engineering
(2019) 131, pp. 131-145- Big-size instances (rar file, Big_Size_Instances) 6000 instances
- Medium-size instances (rar file, Medium_Size_Instances) 5760 instances
- Small-size instances (rar file, Small_Size_Instances) 3840 instances