Multi-period pricing for perishable products : uncertainty and competition by Zhang, Lei, Ph. D. Massachusetts Institute of Technology. Department Electrical Engineering and Computer Science.

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Robust dual sourcing inventory routing optimization for disaster relief by Weibo Zheng, Hong Zhou

“…There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. …”
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Robust dual sourcing inventory routing optimization for disaster relief. by Weibo Zheng, Hong Zhou

“…There are two distinguishing features of our problem: one is routing decisions determine replenishment lead times; the other is that we introduce dual sourcing policy into the inventory routing problem. A robust optimization model is proposed to determine the optimal replenishment quantity, replenishment mode, and transportation routes. …”
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A Risk Assessment Methodology for Toxic Chemicals Evaporation from Circular Pools by R Saravanan, T Karunanithi, L Govindarajan

“…The approach used in this present research work is to develop a correlation by a robust optimization technique known as Genetic Algorithm from the experimental data. …”
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Operations management in a large online retailer : inventory, scheduling and picking by Chen, Chongli Daniel

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New optimization approaches to matrix factorization problems with connections to natural language processing by Berk, Lauren Elizabeth.

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Robust network calibration and therapy design in systems biology by Kim, Bo S. (Bo Sung)

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Modelling and optimization of closed-loop supply chains with carbon policies under uncertainty by Fareeduddin, Mohammed

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Modelling and optimization of closed-loop supply chains with carbon policies under uncertainty by Fareeduddin, Mohammed

“…However, when considering robust optimization to deal with uncertainty, the total cost incurred by the robust models are greater than the values obtained from deterministic model. …”
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Robust Appointment Scheduling in Healthcare by Yuan Gao, Qian Zhang, Chun Kit Lau, Bhagwat Ram

“…We investigate the appointment-scheduling issue using a robust optimization framework to minimize operational costs while ensuring the improvement of healthcare service quality. …”
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A discrete variable based methodology for topology optimization considering spatially uneven manufacturing errors by Meng Xia, Jing Li

“…The omnipresence of manufacturing errors (MEs) in product engineering necessitates the development of robust optimization methodologies. In this research, a novel approach based on the morphological operations and interval field (MOIF) theory is proposed to address MEs in the discrete-variable-based topology optimization procedures. …”
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Feasibility Study of Short Takeoff and Landing Urban Air Mobility Vehicles Using Geometric Programming by Courtin, Christopher, Burton, Michael, Butler, Patrick, Yu, Alison, Vascik, Parker D., Hansman, R. John

“…The tradeoffs between vehicle performance and runway length are investigated using geometric programming, a robust optimization framework. Runway lengths as short as 100-300 ft are shown to be feasible, depending on the level of technology and the desired cruise speed. …”
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Robust threshold design for cooperative sensing in cognitive radio networks by Shimin Gong, Wang, Ping, Huang, Jianwei

“…We formulate the optimal sensing design as a robust optimization problem, and propose an iterative algorithm to determine the optimal decision threshold for each user. …”
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Robust optimisation with applications in supply chain management by Li, D

“…In this study, we propose lot sizing models that use robust optimization to deal with uncertainty in demand and production costs. …”

Energy Sharing of Multiple Virtual Power Plants Based on a Peer Aggregation Model by Sheng Li, Yujie Huang

“…At the VPP autonomous optimization level, each VPP operator formulates an autonomous optimization strategy based on the price incentives and the internal resource parameters and adopts a robust optimization method to improve the strategy’s robustness. …”
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Robustness in Mean-Variance Portfolio Optimization by Shokouh Shahbeyk

“…One of the mostimportant and popular approaches for dealing with uncertainty is robust optimization. Markowitz's portfolio optimization problem is strongly sensitive to the perturbations of input parameters. …”
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An optimal capacity allocation method for integrated energy systems considering uncertainty by Yuliang Zhang, Jianguo Zhang, Yujie Chen

“…Second, a robust chance constrained optimization model combining stochastic programming and robust optimization is established to deal with the uncertainty of the output power of the integrated energy system objectively. …”
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A robust multi objective model for forward â reverse supply chain designing based on social responsibility by Ahmad Makui, Hamid Saffari, Mir Saman Pishvaei, Vahid Mahmoodian

“…Moreover, it is assumed that the demand is uncertain and the problem has been modeled using robust optimization. Proposed model determines the type of technology and capacity of facilities other than optimal location and flows between them. …”
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Study on Robust Design for Aviation Gear Reducer by Han Binghai

“…On the foundation of traditional deterministic optimization model, the multi-objective robust design optimization model of gear drive system is developed based on the basic theory of robust design of 6 sigma, and the Pareto solutions are obtained using NSGA-Ⅱ multi-objective optimization algorithm. Subsequently, robust optimization for a single-stage helical gear system in an aviation gear reducer is carried out. …”
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Position design of the trailing arm bushing on torsion beam suspension accounting for vehicle transient handling performance and uncertainties by Jin Gao, Xiaoping Qi

“…To address the computational burden associated with robust optimization, the RBF approximation model is developed in this paper. …”
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