Výsledky vyhledávání - "Stochastic mixed integer programming"

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  1. 1

    Integrated supply, production and distribution scheduling under disruption risks Autor Sawik, Tadeusz

    ISSN: 0305-0483, 1873-5274
    Vydáno: Oxford Elsevier Ltd 01.07.2016
    Vydáno v Omega (Oxford) (01.07.2016)
    “…This paper presents a bi-objective stochastic mixed integer programming approach for a joint selection of suppliers and scheduling of production and distribution in a multi-echelon supply chain…”
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    Journal Article
  2. 2

    On the risk-averse optimization of service level in a supply chain under disruption risks Autor Sawik, Tadeusz

    ISSN: 0020-7543, 1366-588X
    Vydáno: London Taylor & Francis 02.01.2016
    “… The suppliers are located in different geographic regions and the supplies are subject to random local and regional disruptions…”
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    Journal Article
  3. 3

    On the fair optimization of cost and customer service level in a supply chain under disruption risks Autor Sawik, Tadeusz

    ISSN: 0305-0483, 1873-5274
    Vydáno: Oxford Elsevier Ltd 01.06.2015
    Vydáno v Omega (Oxford) (01.06.2015)
    “… The supplies of parts are subject to independent random local and regional disruptions. The fair decision-making aims at achieving the normalized expected cost and customer service level values as much close to each other as possible…”
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    Journal Article
  4. 4

    Optimal crashing of an activity network with disruptions Autor Yang, Haoxiang, Morton, David P.

    ISSN: 0025-5610, 1436-4646
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022
    Vydáno v Mathematical programming (01.07.2022)
    “…In this paper, we consider an optimization problem involving crashing an activity network under a single disruption. A disruption is an event whose magnitude…”
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    Journal Article
  5. 5

    On the robust decision-making in a supply chain under disruption risks Autor Sawik, Tadeusz

    ISSN: 0020-7543, 1366-588X
    Vydáno: London Taylor & Francis 17.11.2014
    “…This paper considers a robust decision-making problem associated with supplies of parts and deliveries of finished products in a customer driven supply chain…”
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    Journal Article
  6. 6

    Resilient 6G Wireless Networks Under Uncertainty: A VaR and CVaR Approach Autor Adasme, Pablo, Firoozabadi, Ali Dehghan, Soto, Ismael, Juan, Enrique San, Kaschel, Hector

    Vydáno: IEEE 22.10.2025
    “… The mixed integer programs (MIPs) obtained maximize the capacity subject to assignment constraints…”
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    Konferenční příspěvek
  7. 7

    Integrated production and maintenance scheduling for a single degrading machine with deterioration-based failures Autor Ghaleb, Mageed, Taghipour, Sharareh, Sharifi, Mani, Zolfagharinia, Hossein

    ISSN: 0360-8352
    Vydáno: Elsevier Ltd 01.05.2020
    Vydáno v Computers & industrial engineering (01.05.2020)
    “…•A stochastic mixed integer programming model is developed.•The model integrates decisions about maintenance and production scheduling…”
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    Journal Article
  8. 8

    Joint supplier selection and scheduling of customer orders under disruption risks: Single vs. dual sourcing Autor Sawik, Tadeusz

    ISSN: 0305-0483, 1873-5274
    Vydáno: Oxford Elsevier Ltd 01.03.2014
    Vydáno v Omega (Oxford) (01.03.2014)
    “…This paper presents a stochastic mixed integer programming approach to integrated supplier selection and customer order scheduling in the presence of supply chain disruption risks, for a single or dual sourcing strategy…”
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    Journal Article
  9. 9

    Designing robust schedule coordination scheme for transit networks with safety control margins Autor Wu, Weitiao, Liu, Ronghui, Jin, Wenzhou

    ISSN: 0191-2615, 1879-2367
    Vydáno: Oxford Elsevier Ltd 01.11.2016
    “… The problem is formulated as a stochastic mixed integer programming model and solved…”
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    Journal Article
  10. 10

    Economic and resilient planning of hydrogen-enriched power distribution network with mobile hydrogen energy resources Autor Wang, Tengbo, Dong, Yuchen, Cao, Xiaoyu, Xu, Zhanbo, Gao, Feng, Guan, Xiaohong

    ISSN: 0360-3199
    Vydáno: Elsevier Ltd 03.07.2025
    “…This paper presents a risk-averse stochastic mixed-integer programming method to support the economic and resilient planning of hydrogen-enriched power distribution network with mobile hydrogen energy resources (MHERs…”
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    Journal Article
  11. 11

    Integrated Optimization for Biofuel Management Associated with a Biomass-Penetrated Heating System under Multiple and Compound Uncertainties Autor Fu, Dianzheng, Yang, Tianji, Huang, Yize, Tong, Yiming

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v Energies (Basel) (01.08.2022)
    “… To handle uncertainties and system dynamic complexities, an inexact two-stage compound-stochastic mixed-integer programming technique is proposed, innovatively based on the integration of different…”
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    Journal Article
  12. 12

    A mathematical programming model for optimizing the staff allocation in radiotherapy under uncertain demand Autor Vieira, Bruno, Demirtas, Derya, van de Kamer, Jeroen B., Hans, Erwin W., van Harten, Wim

    ISSN: 0377-2217, 1872-6860
    Vydáno: Elsevier B.V 16.10.2018
    “…•A hierarchical stochastic mixed integer programming framework is proposed.•Our framework is tested with data from a major cancer institute in Amsterdam…”
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    Journal Article
  13. 13

    A Lagrangian relaxation approach for stochastic network capacity expansion with budget constraints Autor Taghavi, Majid, Huang, Kai

    ISSN: 0254-5330, 1572-9338
    Vydáno: New York Springer US 01.01.2020
    Vydáno v Annals of operations research (01.01.2020)
    “… We use a scenario tree approach to handle the uncertainty and construct a multi-stage stochastic mixed-integer programming model for the network capacity expansion problem…”
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    Journal Article
  14. 14

    Two-Stage Fleet Assignment Model Considering Stochastic Passenger Demands Autor Sherali, Hanif D, Zhu, Xiaomei

    ISSN: 0030-364X, 1526-5463
    Vydáno: Linthicum, MD INFORMS 01.03.2008
    Vydáno v Operations research (01.03.2008)
    “… In this paper, we propose a two-stage stochastic mixed-integer programming approach in which the…”
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    Journal Article
  15. 15

    Discrete optimization Autor Aardal, K. (Karen), Nemhauser, George L., Weismantel, R.

    ISBN: 9780444515070, 0444515070
    Vydáno: Amsterdam ; Tokyo Elsevier 2005
    “…The chapters of this Handbook volume cover nine main topics that are representative of recent theoretical and algorithmic developments in the field. In…”
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    E-kniha Kniha
  16. 16

    Coordinating Pre- and Post-disaster Resource Allocation at Multiple Locations Autor Agwuncha, Chinwendu

    ISBN: 9798641243696
    Vydáno: ProQuest Dissertations & Theses 01.01.2020
    “…) and Potential Affected Locations (PALs). To tackle this resource allocation problem stated above, we develop a two-stage stochastic mixed-integer programming model that optimally allocates pre-disaster preparedness and post-disaster relief…”
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    Dissertation
  17. 17

    Post-Disaster Relief Distribution Under Road Vulnerabilities and Aftershocks Autor Baksı, Bikem Bennu

    ISBN: 9798346363613
    Vydáno: ProQuest Dissertations & Theses 01.01.2017
    “…In this thesis, a two-stage stochastic mixed integer programming approach is proposed to determine the two types of post-disaster decisions, namely relief distribution with direct/ lateral…”
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    Dissertation
  18. 18

    Optimal Demand Response Models with Energy Storage Systems in Smart Grids Autor Alhaider, Mohemmed

    ISBN: 9781369375824, 1369375824
    Vydáno: ProQuest Dissertations & Theses 01.01.2016
    “…This research aims to develop solutions to relieve system stress conditions in electric grids. The approach adopted in this research is based on a new concept…”
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    Dissertation
  19. 19

    Decomposition algorithms for stochastic combinatorial optimization: Computational experiments and extensions Autor Ntaimo, Lewis

    ISBN: 9780496036820, 0496036823
    Vydáno: ProQuest Dissertations & Theses 01.01.2004
    “… SCO deals with a class of combinatorial optimization models and algorithms in which some of the data are subject to significant uncertainty and evolve over time, and often discrete decisions need…”
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    Dissertation