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

Department of Business Informatics, Processes and Systems, Potsdam University, 14469 Potsdam, Germany
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Received: 12 December 2018 / Revised: 27 January 2019 / Accepted: 2 February 2019 / Published: 18 February 2019
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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. View Full-Text
Keywords: job shop scheduling; JSP; social network analysis; method comparision job shop scheduling; JSP; social network analysis; method comparision
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Weber, E.; Tiefenbacher, A.; Gronau, N. Need for Standardization and Systematization of Test Data for Job-Shop Scheduling. Data 2019, 4, 32.

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