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

Edzard Weber, Anselm Tiefenbacher and Norbert Gronau
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Edzard Weber: Department of Business Informatics, Processes and Systems, Potsdam University, 14469 Potsdam, Germany
Anselm Tiefenbacher: Department of Business Informatics, Processes and Systems, Potsdam University, 14469 Potsdam, Germany
Norbert Gronau: Department of Business Informatics, Processes and Systems, Potsdam University, 14469 Potsdam, Germany

Data, 2019, vol. 4, issue 1, 1-21

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: job shop scheduling; JSP; social network analysis; method comparision (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
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