1 Layout
نویسندگان
چکیده
With the surge in the availability of real-time manufacturing and transportation resources information, requirements for advanced intelligent real time decision-making techniques are imperative. This research is focused on developing dynamic real time demand responsive decision-making techniques to address the current and future needs in the field of advanced synchronized manufacturing and transportation execution systems. In this report, a model, which considers the batching process at the plants and the truck deliveries to various sites, is developed and solved by a two-phase solution approach, which includes the use of search techniques, within a Metaheuristics framework. To achieve global optimality, we consider the application of a Tabu Search (TS), Guided Local Search (GLS) and a hybrid Guided Tabu Search (GTS) for further solution enhancement in the second stage. Based on an example, the proposed strategy is able to show significant improvement.
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