2017
DOI: 10.1007/s00291-016-0471-x
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Capacity reservation and utilization for a manufacturer with uncertain capacity and demand

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Cited by 12 publications
(1 citation statement)
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“…Jayaswal and Jewkes believe that the use of differentiated strategies for promised delivery times and prices in market segments can bring greater profits to companies with advantages in capacity and cost, which is conducive to solving the problem of capacity constraints [22]. Boulaksil et al studied how OEMs allocate their own production capacity when facing random demand and established a model to solve the optimal capacity allocation strategy based on demand distribution [23]. Xie and Zhang establish a production capacity decision model based on the sensitivity of promised delivery time and the randomness of demand under capacity constraints, and finally obtain the company's optimal promised delivery time and optimal production capacity [24].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Jayaswal and Jewkes believe that the use of differentiated strategies for promised delivery times and prices in market segments can bring greater profits to companies with advantages in capacity and cost, which is conducive to solving the problem of capacity constraints [22]. Boulaksil et al studied how OEMs allocate their own production capacity when facing random demand and established a model to solve the optimal capacity allocation strategy based on demand distribution [23]. Xie and Zhang establish a production capacity decision model based on the sensitivity of promised delivery time and the randomness of demand under capacity constraints, and finally obtain the company's optimal promised delivery time and optimal production capacity [24].…”
Section: Literature Reviewmentioning
confidence: 99%