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Need for Standardization and Systematization of Test Data for Job-Shop Scheduling

  • 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.

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Author details:Edzard WeberORCiDGND, Anselm Tiefenbacher, Norbert GronauORCiDGND
Title of parent work (English):Data
Place of publishing:Basel
Publication type:Article
Date of first publication:2019/02/18
Completion year:2019
Release date:2021/04/07
Tag:JSP; job shop scheduling; method comparision; social network analysis
Number of pages:21
Funding institution:Germen Research Foundation [GR 1846/17-1]
Organizational units:Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
6 Technik, Medizin, angewandte Wissenschaften / 60 Technik / 600 Technik, Technologie
License (German):License LogoCC BY - Namensnennung, 4.0 International
External remark:Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : [Wirtschafts- und Sozialwissenschaftliche Reihe]; [134]