Sentence examples for delivery of raw from inspiring English sources

In his public meeting in the factory on Thursday, Mr. Putin pointed to a contract that would resume delivery of raw materials, allowing the 50-year-old factory to lurch back to life.

They rarely take physical delivery of raw materials and have no effect on the actual production and consumption of metal, grain or oil.The worst that can be said about speculators, then, is that they may add a little to the volatility that anyway characterises commodity markets.

For economic reasons, however, most fuel processing plants require continuous year-round delivery of raw material.

Since year-end 2002 Ware has reduced to 45 days from 129 the time between delivery of raw materials to shipment of Combivir, GSK's AIDS/HIV drug.

In other words, transportation is a key part of a supply chain which ensures on-time delivery of raw materials and finished products (Crainic 2003).

For this reason, the timely delivery of raw materials and offsite pre-fabricated components is crucial to the success of industrial modular construction projects.

Strained by rapid economic growth, China's transportation system has bogged down, especially in the last six weeks, causing delays in deliveries of raw materials and raising a serious risk of higher inflation.

By contrast, Chinese factories keep small inventories, because they receive regular deliveries of raw materials from nearby suppliers and ship finished goods easily on smooth highways to efficient ports like Hong Kong's.

To achieve this end, the two-story High Line viaduct would run through the middle of the block between 10th and 11th Avenues, passing either over or through the structures along the way, making deliveries of raw materials, milk and meat directly into warehouses or factories that were built to allow a train to run through them.

Deliveries of raw materials would take place by barge and construction vehicles would not be traveling via any local streets.

However, the use of interferograms for volcano monitoring, especially in a decision-making context, remains challenging due to delays between data acquisition and delivery of 'raw' imagery, the historical lack of freely available imagery, and to a dearth of the experience needed to interpret diverse satellite datasets in many observatories (e.g., Dzurisin, 2000).