TY  - GEN
A1  - Weber, Edzard
A1  - Tiefenbacher, Anselm
A1  - Gronau, Norbert
T1  - Need for standardization and systematization of test data for job-shop scheduling
T2  - Postprints der Universität Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe
N2  - 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
T3  - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 134 
KW  - job shop scheduling
KW  - JSP
KW  - social network analysis
KW  - method comparision
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472229
SN  - 1867-5808
IS  - 134
ER  - 
TY  - JOUR
A1  - Weber, Edzard
A1  - Tiefenbacher, Anselm
A1  - Gronau, Norbert
T1  - Need for Standardization and Systematization of Test Data for Job-Shop Scheduling
JF  - Data
N2  - 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.
KW  - job shop scheduling
KW  - JSP
KW  - social network analysis
KW  - method comparision
Y1  - 2019
U6  - https://doi.org/10.3390/data4010032
SN  - 2306-5729
VL  - 4
IS  - 1
PB  - MDPI
CY  - Basel
ER  -