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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias
Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias
Engineering Management and Systems Engineering Faculty Research & Creative Works
In this study, we investigate truck-to-door assignment problem for loading outgoing trucks in a cross-docking system with flexible handling times. Specifically, a truck's loading time depends on the number of workers assigned to the outbound door, where the truck is being loaded. An optimization problem is formulated to jointly determine the number of workers and the trucks to be loaded at each door. The resulting problem is a nonlinear integer programming model. Due to the complexity of this model, two evolutionary heuristic methods are proposed for solution. First heuristic method is based on truck assignments while the second heuristic is …
Multiobjective System Of Systems Architecting With Performance Improvement Funds, Hadi Farhangi, Dincer Konur, Cihan H. Dagli
Multiobjective System Of Systems Architecting With Performance Improvement Funds, Hadi Farhangi, Dincer Konur, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
A System of Systems architecting problem aims to determine a selection of systems, which are capable of providing a set of desired capabilities. A SoS architect usually has multiple objectives in generating efficient architectures such as minimization of the total cost and maximization the overall performance of the SoS. This study formulates a biobjective SoS architecting problem with these two objectives. Here, we consider that, by allocating funds to the systems, the SoS architect can improve the performance of the capabilities the systems can provide. The resulting architecting problem is a biobjective mixed-integer linear programming model. Specifically, the system selection …
Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke
Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures' contracts. Every agricultural future's contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used …
Using Social Networking Game To Teach Operations Research And Management Science Fundamental Concepts, Ivan G. Guardiola, Susan L. Murray, Elizabeth A. Cudney
Using Social Networking Game To Teach Operations Research And Management Science Fundamental Concepts, Ivan G. Guardiola, Susan L. Murray, Elizabeth A. Cudney
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents our experience using the popular game FarmVille by Zynga® to teach the fundamentals of linear programming and integer programming concepts to undergraduate students in an introductory operations research course. FarmVille is a popular game within the social networking website Facebook®. A month-long contest was introduced amongst the students with the goal to be the best individual farmer by striving to reach high levels of revenue, experience, and aesthetic appeal of their own unique farm. The contest is to demonstrate the concepts of problem formulation, solution methods, multiple and competing objectives, implementation of policy, and reformulation. The students …