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- W52699879 abstract "Flexible manufacturing systems (FMSs) have the potential to achieve both flexibility and productivity in manufacturing: versatile machines, automatic tool interchange capabilities, and automated material handling equipment allow FMSs to simultaneously manufacture a large variety of parts in small to medium batch sizes without negatively affecting production rates. However, this potential has not been fully exploited because of a failure to completely deal with the increased complexity of FMSs, which involve more constraints and decision alternatives than conventional manufacturing systems.This research proposes a hybrid modeling (HM) approach to solve complex FMS planning problems. Specifically, an HM is developed to effectively consider due date constraints in solving the part type selection and production ratio problems. Although meeting due dates of customer is an important FMS operation criterion, previous approaches to the problem have not addressed due dates effectively.The HM combines a constraint satisfaction problem (CSP) search, a rule-based simulation model, and heuristic rules. The HM approach is knowledge-based in that knowledge-representation methods are employed to build and solve the HM. The problem-solving process of the HM approach consists of following four stages. (1) Generation. A CSP search finds a candidate solution which satisfies a set of constraints. Being formulated as a CSP, the part type selection and mix ratio problems are concerned with assigning production ratios to orders subject to certain heuristic constraints. (2) Evaluation. A rule-based simulation model evaluates the candidate solution in terms of expected tardiness of orders. (3) Choice. A choice rule selects the best solution based on the evaluation results. (4) Learning. A learning rule refines the heuristic constraints based on the evaluation results so as to prune unnecessary CSP searching space more closely.The performance of the HM is compared with that of previous analytic models. The comparisons are made by conducting simulation experiments in a particular FMS context. The comparison results indicate that the hybrid model significantly improves FMS performance in terms of mean tardiness." @default.
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- W52699879 modified "2023-09-27" @default.
- W52699879 title "A knowledge-based hybrid modeling approach to planning problems in flexible manufacturing systems" @default.
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