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Optimal Capacity Expansion Under Uncertainty
Davis, Mark H.A; Dempster, M.A.H; Sethi, Suresh; Vermes, D. - 2020
expansion project. Optimization is studied by methods of stochastic control theory. Numerical algorithms are presented which …
Persistent link: https://www.econbiz.de/10014097781
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Guarding Against Disruption Risk by Contracting under Information Asymmetry
Li, Guo - 2020
We consider a decentralized supply chain in which a downstream manufacturer purchases components from an upstream supplier privileged with private information about supply disruption risk. The supplier's initial reliability, asymmetric to the manufacturer, is either low or high. We examine two...
Persistent link: https://www.econbiz.de/10012838902
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Approximating a two-machine flow shop scheduling under discrete scenario uncertainty
Kasperski, Adam; Kurpisz, Adam; Zieliński, Paweł - In: European journal of operational research : EJOR 217 (2012) 1, pp. 36-43
Persistent link: https://www.econbiz.de/10009388680
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Mitigating overtime risk in tactical surgical scheduling
Zhang, Yu; Wang, Yu; Tang, Jiafu; Lim, Andrew - In: Omega : the international journal of management science 93 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012243786
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Surgical scheduling under uncertainty by approximate dynamic programming
Silva, Thiago A. O.; Souza, Maurício C. de - In: Omega : the international journal of management science 95 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012243870
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Minimizing maximum cost for a single machine under uncertainty of processing times
Fridman, Ilia; Pesch, Erwin; Shafransky, Yakov - In: European journal of operational research : EJOR 286 (2020) 2, pp. 444-457
Persistent link: https://www.econbiz.de/10012291534
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Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty
Chassein, André; Goerigk, Marc; Kurtz, Jannis; Poss, … - In: European journal of operational research : EJOR 279 (2019) 2, pp. 308-319
Persistent link: https://www.econbiz.de/10012110700
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Risk-averse single machine scheduling : complexity and approximation
Kasperski, Adam; Zieliński, Paweł - In: Journal of scheduling 22 (2019) 5, pp. 567-580
Persistent link: https://www.econbiz.de/10012117022
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A Pure Proactive Scheduling Algorithm for Multiple Earth Observation Satellites Under Uncertainties of Clouds
Wang, Jianjiang; Demeulemeester, Erik; Qiu, Dishan - 2014
an integer linear programming (ILP) model. Subsequently, a branch and cut (B&C) algorithm based on lazy constraint … and efficiency of our proposed formulation and algorithm …
Persistent link: https://www.econbiz.de/10014142379
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Parallel machine scheduling under uncertainty : models and exact algorithms
Song, Guopeng; Leus, Roel - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3059-3079
Persistent link: https://www.econbiz.de/10014326336