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In order to explore the effect of altruistic behavior on supply chain policies and performance, based on the wholesale price contract, we establish a game model consisted of an altruistic retailer and a self-interested supplier, and obtain the robust optimal solution when the demand information is missing. We find, the improvement of the selfish supplier gains are at the expense of the altruistic...
In the deregulated electricity market, wind power producers (WPPs) are required to submit their generation profile in the day-ahead (DA) market. The consideration of uncertainties associated with price and wind power become crucial to facilitate decision making and risk hedging for WPPs. In this paper, a bidding strategy based on robust optimization is proposed under two trading floors, namely DA...
Motivated by data-driven decision making and sampling problems, we investigate probabilistic interpretations of Robust Optimization (RO). We establish a connection between RO and Distributionally Robust Stochastic Programming (DRSP), showing that the solution to any RO problem is also a solution to a DRSP problem. Specifically, we consider the case where multiple uncertain parameters belong to the...
A feedback procedure is introduced to the robust berth allocation problem with stochastic vessel delays. This procedure emphasizes the interrelationship between the planning stage and the real-time stage, and employs the cost of schedule changes in the real-time stage to instruct time buffer adjustment for each vessel. Experimental results show that this procedure performs well in different vessel...
Owing to trade imbalance, the challenge faced by liners is how to effectively manage their empty containers. In this paper, we develop a two-stage robust optimization model with a recourse function for solving the dynamic empty container allocation problems under net demand uncertainties. The level of conservatism is taken into account through a budget of uncertainty(Γ), which is determined by the...
The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the deep-drawing process parameters with considerations of the multiple response is introduced. Various deep-drawing parameters are considered. An orthogonal array is used for the experimental design. The process...
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