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- W2783308906 abstract "Manufacturing systems are becoming more and more flexible to confront uncertainty in demands of multiple product types. In this paper, we study the properties of flexible manufacturing systems from the perspective of demand shortfall and service level as functions of setup time, nonhomogeneous capacities and demand distributions. Closed-form bounds as well as an accurate estimate of the service level are obtained. Sensitivity analyses of service level with respect to reductions in setup time, downtime and cycle time are carried out, and the impact of new product launch and product correlation on system flexibility is investigated. Note to Practitioners: The strategic decision-making issues in flexible production system management are critical. Questions facing plant or enterprise teams are how manufacturers should plan and evaluate their system flexibility profile in order to wisely invest in and upgrade their flexible equipments? Or which factory out of many they should choose from to launch a new product given different flexibilities of the plants? In order to answer these questions, we study production system flexibility measures in terms of matching production capacities and demands. Accurate estimates of demand shortfall and the service level are obtained. The results lead to measurements on how much demand shortfall a manufacturer generates when confronting its demand and production uncertainty. By taking advantage of such metrics, one can compare distinct improvement plans. To further understand such measurement, sensitivity analyses of service level with respect to reductions in setup time, downtime and cycle time are carried out, and the impact of new product launch and product correlation on system flexibility is investigated. The results can be used to guide strategic system flexibility planning." @default.
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- W2783308906 date "2017-08-01" @default.
- W2783308906 modified "2023-09-26" @default.
- W2783308906 title "Optimal planning of plant flexibility: Problem formulation and performance analysis" @default.
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- W2783308906 doi "https://doi.org/10.1109/coase.2017.8256229" @default.
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