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Surrogate Measures for the Robust Scheduling of Stochastic Job Shop Scheduling Problems

Surrogate Measures for the Robust Scheduling of Stochastic Job Shop Scheduling Problems

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1899817921

Surrogate Measures for the Robust Scheduling of Stochastic Job Shop Scheduling Problems

About this item

Full title

Surrogate Measures for the Robust Scheduling of Stochastic Job Shop Scheduling Problems

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2017-04, Vol.10 (4), p.543

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study focuses on surrogate measures (SMs) of robustness for the stochastic job shop scheduling problems (SJSSP) with uncertain processing times. The objective is to provide the robust predictive schedule to the decision makers. The mathematical model of SJSSP is formulated by considering the railway execution strategy, which defined that the s...

Alternative Titles

Full title

Surrogate Measures for the Robust Scheduling of Stochastic Job Shop Scheduling Problems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_1899817921

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1899817921

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en10040543

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