A risk-averse two-stage stochastic programming model for a joint multi-item capacitated line balancing and lot-sizing problem
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Publication:2171582
DOI10.1016/j.ejor.2021.09.043OpenAlexW3205477704WikidataQ114184409 ScholiaQ114184409MaRDI QIDQ2171582
Publication date: 9 September 2022
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2021.09.043
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Cites Work
- Handling CVaR objectives and constraints in two-stage stochastic models
- On the polyhedral structure of a multi-item production planning model with setup times
- The green capacitated multi-item lot sizing problem with parallel machines
- Effective matheuristics for the multi-item capacitated lot-sizing problem with remanufacturing
- New algorithmic framework for conditional value at risk: application to stochastic fixed-charge transportation
- Risk-averse two-stage stochastic programming with an application to disaster management
- Facets and algorithms for capacitated lot sizing
- Conditional value-at-risk in stochastic programs with mixed-integer recourse
- Solving Multi-Item Lot-Sizing Problems Using Strong Cutting Planes
- Multi-item capacitated lot-sizing with demand uncertainty
- Strong Formulations for Multi-Item Capacitated Lot Sizing
- A two-stage heuristic method for balancing mixed-model assembly lines with parallel workstations
- Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity
- Analytics Branching and Selection for the Capacitated Multi-Item Lot Sizing Problem with Nonidentical Machines
- Production Planning by Mixed Integer Programming
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