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- 01GMVB3AF4JSYND33Q7W4CCM1T classification C3.
- 01GMVB3AF4JSYND33Q7W4CCM1T date "2022".
- 01GMVB3AF4JSYND33Q7W4CCM1T language "eng".
- 01GMVB3AF4JSYND33Q7W4CCM1T type conference.
- 01GMVB3AF4JSYND33Q7W4CCM1T hasPart 01GMXFE3B4X1ZN6R3ZXJ6NEFFF.pdf.
- 01GMVB3AF4JSYND33Q7W4CCM1T subject "Technology and Engineering".
- 01GMVB3AF4JSYND33Q7W4CCM1T doi "10.5281/zenodo.7405344".
- 01GMVB3AF4JSYND33Q7W4CCM1T presentedAt urn:uuid:c985bb9f-e24c-413c-b711-1ea88361a8ed.
- 01GMVB3AF4JSYND33Q7W4CCM1T abstract "In this research we aim to investigate the job shop scheduling problem with uncertain processing times. First we study the literature for the best solution approaches for the deterministic job shop problem. Among all developed algorithms in the literature the famous TSAB algorithm by Nowicki and Smutnicki in 1996 has shown well performance regarding the quality of solutions and CPU time. Then we develop and solve a two stage stochastic programming model, using TSAB and Sample Average Approximation technique, assuming the data are uncertain and associated with a well-known distribution. Furthermore, for more complex uncertainties we study robust and distributionally robust optimization techniques.".
- 01GMVB3AF4JSYND33Q7W4CCM1T author 018A845A-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GMVB3AF4JSYND33Q7W4CCM1T author F58511F2-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GMVB3AF4JSYND33Q7W4CCM1T author F5F7C9AE-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GMVB3AF4JSYND33Q7W4CCM1T author ab388e6b-78b2-11ec-8e78-c067d44f877d.
- 01GMVB3AF4JSYND33Q7W4CCM1T dateCreated "2022-12-21T21:58:11Z".
- 01GMVB3AF4JSYND33Q7W4CCM1T dateModified "2024-07-09T07:42:22Z".
- 01GMVB3AF4JSYND33Q7W4CCM1T name "Job shop scheduling under uncertainty".
- 01GMVB3AF4JSYND33Q7W4CCM1T pagination urn:uuid:ab09aacf-ef21-4f08-b35d-1284d3c60cf0.
- 01GMVB3AF4JSYND33Q7W4CCM1T sameAs LU-01GMVB3AF4JSYND33Q7W4CCM1T.
- 01GMVB3AF4JSYND33Q7W4CCM1T sourceOrganization urn:uuid:33f89640-4862-4d40-add7-99f054b255b1.
- 01GMVB3AF4JSYND33Q7W4CCM1T type C3.