@misc{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for standardization and systematization of test data for job-shop scheduling},
  series = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe},
  number    = {134},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-47222},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-472229},
  pages     = {23},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research. Keywords},
  language  = {en}
}
@article{WeberTiefenbacherGronau2019,
  author    = {Weber, Edzard and Tiefenbacher, Anselm and Gronau, Norbert},
  title     = {Need for Standardization and Systematization of Test Data for Job-Shop Scheduling},
  series = {Data},
  volume    = {4},
  journal   = {Data},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2306-5729},
  doi       = {10.3390/data4010032},
  pages     = {21},
  year      = {2019},
  abstract  = {The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research.},
  language  = {en}
}
@article{RojahnWeberGronau2023,
  author    = {Rojahn, Marcel and Weber, Edzard and Gronau, Norbert},
  title     = {Towards a standardization in scheduling models},
  series = {International journal of industrial and systems engineering},
  volume    = {17},
  journal   = {International journal of industrial and systems engineering},
  number    = {6},
  publisher = {Inderscience Enterprises},
  address   = {Gen{\`e}ve},
  issn      = {1748-5037},
  pages     = {401 -- 408},
  year      = {2023},
  abstract  = {Terminology is a critical instrument for each researcher. Different terminologies for the same research object may arise in different research communities. By this inconsistency, many synergistic effects get lost. Theories and models will be more understandable and reusable if a common terminology is applied. This paper examines the terminological (in)consistence for the research field of job-shop scheduling by a literature review. There is an enormous variety in the choice of terms and mathematical notation for the same concept. The comparability, reusability and combinability of scheduling methods is unnecessarily hampered by the arbitrary use of homonyms and synonyms. The acceptance in the community of used variables and notation forms is shown by means of a compliance quotient. This is proven by the evaluation of 240 scientific publications on planning methods.},
  language  = {en}
}