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Learning customer preferences and dynamic pricing for perishable products.

, , and . Comput. Ind. Eng., (2022)

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Learning customer preferences and dynamic pricing for perishable products., , and . Comput. Ind. Eng., (2022)Dynamic scheduling and maintenance for a two-class queue with a deteriorating server., , , and . ACC, page 3197-3202. IEEE, (2018)Production-Level Artificial Intelligence Applications in Semiconductor Manufacturing., , , , and . WSC, page 1-8. IEEE, (2021)A Repair-for-Diagnosis Methodology for Logic Circuits., , , and . IEEE Trans. Very Large Scale Integr. Syst., 26 (11): 2254-2267 (2018)An innovative approach for strategic capacity portfolio planning under uncertainties., and . Eur. J. Oper. Res., 207 (2): 1002-1013 (2010)Dynamic dispatching for re-entrant production lines - A deep learning approach., , and . CASE, page 1026-1031. IEEE, (2017)Dynamic dispatching and preventive maintenance for parallel machines with dispatching-dependent deterioration., , , and . Comput. Oper. Res., (2020)An Efficient Procedure to Generate Highly Compact Diagnosis Patterns for Transition Faults., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (3): 737-749 (2022)Data-driven Scheduling for High-mix and Low-volume Production in Semiconductor Assembly and Testing., , and . CASE, page 1303-1308. IEEE, (2021)An efficient diagnosis-aware pattern generation procedure for transition faults., and . ITC, page 1-10. IEEE Computer Society, (2014)