Data · dataset · 2026
Instances for the Generalized Parallel Machine Scheduling (GPMS) Framework
Listed in TU Wien Research Data
Context and methodology The dataset accompanies the paper "GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints".
Description
Link to the paper: 10.1609/icaps.v36i1.42866 Reference: Frühwirth, L., Einspieler, C., Musliu, N., & Winter, F. (2026). GPMS: A Generalized Parallel Machine Scheduling Framework with Rich Temporal and Resource Constraints.
In Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 36, No. 1, pp. 490-499). Purpose : A benchmark set for evaluating exact and heuristic solution methods for the generalized parallel machine scheduling problem, which combines, among others, time-varying machine availability, precedence constraints with time lags, secondary resources with time-varying capacity, and sequence-dependent setups.
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How created : Generated instances were produced by a parameterized instance generator under controlled settings (number of jobs and machines, precedence and secondary-resource complexity, sequence-dependent setups, etc.) with fixed random seeds for reproducibility. Real-type instances are derived from real-world production scheduling settings. Technical details Instances are JSON files in four folders: generated/ (216), real_type1/ (77), real_type2/ (11), real_type3/ (3).
Generated files are named i<idx>_j<jobs>_m<machines>_prec<None|Simple|Complex>_sec<None|Simple|Complex>_seq<n>_inf<n>_fix<n>_seed<n>_<short|long>MP.json, where: - j — number of jobs; m — number of machines - prec — precedence complexity (three levels: None / Simple / Complex) - sec — secondary-resource complexity (three levels: None / Simple / Complex) - seq — number of jobs with sequence-dependent setup times - inf — number of non-capacitated machines (which allow overlapping jobs) - fix — number of jobs with fixed setup or processing timings - seed — random seed - short/long MP — shorter vs. longer average machine-period length (same horizon, i.e., more vs. fewer periods) Real-type files are named real_type<k>_<idx>[_m<machines>]_j<jobs>.json.
JSON structure : Each file is one JSON object describing a single instance: - Name, Horizon (integer time horizon; all times lie in [0, Horizon]), and the counts JobCount, MachineCount, SecResourceCount. - Machines — each has Id, IsFinite (true = capacitated, one job at a time; false = non-capacitated, jobs may overlap), and Periods (availability intervals {StartTime, EndTime}). - SecondaryResources — each has Id, InitialSecResourceUsage, and SecResourcePeriods ({StartTime, EndTime, Capacity, Cost}, i.e. time-varying capacity and per-unit cost). - Objectives — global objective terms as {Type, Weight} (e.g. TotalWeightedTardiness, SetupTime, SetupProcessCost, TotalMakespan, …).
Weights in the file are defaults; the weightings used per experiment are set in the solver configurations. - Jobs — each job has: - Id, ReleaseDate, DueDate, HasDeadline, Deadline; - timing-fix flags SetupFixed / ProcessFixed and the fixed times SetupStartFixed / SetupEndFixed / ProcessStartFixed / ProcessEndFixed (null unless fixed); - SeqDependent (indicates whether the job has sequence-dependent setups); - JobObjWeights — per-job objective weights {Type, Weight}; - SetupAndProcessTimes — per eligible machine {MachineId, ProcessTime, InitialSetupTime, SetupTime, InitialSetupCost, SetupCost, ProcessCost, MaxOperationSpanIncrease} (a job is eligible on the machines listed here); - SeqDepSetupTimes — sequence-dependent setup increments {MachineId, FromJobId, AddToSetupTime, AddToSetupCost}, applied when the job directly follows FromJobId; - SecResourceDemands — {MachineId, ResourceId, InitialSetupDemand, InitialSetupType, SetupDemand, SetupType, ProcessDemand, ProcessType}, where the *Type fields give the demand profile (Pulse, NegPulse, StepAtStart, NegStepAtStart, StepAtEnd, NegStepAtEnd); - Precedences — relations to other jobs as {JobId (of predecessor), TransferFactor, MinLag, MaxLag, NoJobInBetween, ConditionalMachineEligibilities}; All times, demands, capacities, and costs are integers.
Required software : The files are plain JSON and can be opened and parsed with any standard tool — no specific software is required to read them. To load, solve, and validate instances, an open-source .NET 8 solver is provided (see below); the MiniZinc constraint models additionally require a MiniZinc installation. Additional resources: The solver source code, constraint models, experiment configurations, and build/run instructions are archived at 10.48436/m7ams-x6a79
Links
Where it is published
- TU Wien Research Data record researchdata.tuwien.ac.at/records/g0cyt-4h155 ↗
landing page · from researchdata tuwien ac at
- DOI doi.org/10.48436/g0cyt-4h155 ↗
DOI / persistent id · from researchdata tuwien ac at
Catalogue records · 1
- InvenioRDM API researchdata.tuwien.ac.at/api/records/g0cyt-4h155 ↗
metadata API · from researchdata tuwien ac at
Topics
- Stated by source
- Computer and information sciences
- Inferred from text
- Concurrent/parallel systems and technologies 80%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TU Wien Research Data | g0cyt-4h155 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[field].anzsrc:field:460602 | enrichment · researchdata tuwien ac at | taxonomy-embedding@1.1.0 | title+keywords+description (80%) |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:computer-and-information-sciences | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| description | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/description |
| license | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| publication_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| title | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/title |
| updated_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 |