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Malleable scheduling beyond identical machines
Fotakis, Dimitris; Matuschke, Jannik; Papadigenopoulos, … - In: Journal of scheduling : JOS 26 (2023) 5, pp. 425-442
Persistent link: https://www.econbiz.de/10014383451
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Single-machine scheduling with an external resource
Briskorn, Dirk; Davari, Morteza; Matuschke, Jannik - In: European journal of operational research : EJOR 293 (2021) 2, pp. 457-468
Persistent link: https://www.econbiz.de/10012513192
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Convex quadratic and semidefinite programming relaxation in scheduling
Skutella, Martin - 1999
Persistent link: https://www.econbiz.de/10001438137
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A 2.542-approximation for precedence constrained single machine scheduling with release dates and total weighted completion time objective
Skutella, Martin - In: Operations research letters 44 (2016) 5, pp. 676-679
Persistent link: https://www.econbiz.de/10011596631
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On index policies for stochastic minsum scheduling
Eberle, Franziska; Fischer, Felix; Matuschke, Jannik; … - In: Operations research letters 47 (2019) 3, pp. 213-218
Persistent link: https://www.econbiz.de/10012017650
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A PTAS for minimizing the total weighted completion time on identical parallel machines
Skutella, Martin; Woeginger, Gerhard J. - 1999
Persistent link: https://www.econbiz.de/10001408415
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Stochastic machine scheduling with precedence constraints
Skutella, Martin (contributor); Uetz, Marc (contributor) - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001781268
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The power of preemption on unrelated machines and applications to scheduling orders
Correa, José R.; Skutella, Martin; Verschae, José - In: Mathematics of operations research 37 (2012) 2, pp. 379-398
Persistent link: https://www.econbiz.de/10009562356
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A tight bound on the speed-up through storage for quickest multi-commodity flows
Groß, Martin; Skutella, Martin - In: Operations research letters 43 (2015) 1, pp. 93-95
Persistent link: https://www.econbiz.de/10010486289
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Online scheduling with bounded migration
Sanders, Peter; Sivadasan, Naveen; Skutella, Martin - In: Mathematics of operations research 34 (2009) 2, pp. 481-498
Persistent link: https://www.econbiz.de/10003870304