Sentence examples for reduced orders for from inspiring English sources
Hong Kong exports fell for a ninth consecutive month in November as a slump in the United States, Japan and other overseas markets reduced orders for Chinese goods.
The company warned that it expected to have a tough second quarter as major commercial airline customers reduced orders for spare parts.
Mail-Well said yesterday that its first-quarter earnings would miss estimates because the slowing economy had reduced orders for printing.
The strong number suggests that demand for Apple's smartphone is not weakening, despite previous reports that Apple had reduced orders for iPhone parts because sales were slower than expected.
SEOUL — Samsung Electronics reported a record quarterly profit of 8.1 trillion South Korean won, nearly double the figure of last year, as strong sales of high-end televisions and Galaxy smartphones more than offset reduced orders for chips and screens from Apple, its main rival and leading customer.
National Semiconductor said yesterday that its first-quarter sales would rise less than forecast on reduced orders for chips used in personal computers and related peripherals.
Uncertainty about tax increases and deep government spending cuts led many companies to reduce orders for machinery and equipment earlier this year.
As noted above, antibiotic decision-making in nursing homes is heavily influenced by diagnostic test results, and we believe that facilities will see the biggest return on investment through a focus on implementing interventions to reduce orders for urine cultures.
It has most recently been shown to significantly reduce orders for drugs to which patients were allergic, the number of adverse events caused by antibiotics, and the total number of antibiotic doses prescribed, as well as the medical costs associated with antimicrobial agents [ 22].
In this paper, two methods are reviewed and compared for designing reduced order controllers for distributed parameter systems.
Employing a nested application of singular perturbation arguments, we propose a method for deriving non-linear, non-stiff, reduced order models for the dynamics in each time scale.
