The phrase "age of factory" is not commonly used in written English and may not be entirely clear without context.
It could be used to refer to a historical period characterized by the rise of factories and industrialization, but it is not a standard expression.
Example: "The age of factory production transformed economies and societies around the world."
Alternatives: "industrial era" or "factory era".
Production location (C51) Type of organization (C52) Market orientation (C53) Export destination (C54) Major product category (C55) Age of factory (C56) Education level of worker (C57).
In a nut shell, human resource, product style and volume, maintenance, age of factory are having more impact on performance of power looms.
Rejection level (C41) Repair level (inline) (C42) Repair level (final inspection) (C43) Uncontrollable factors (C5) Local and export market demands are different, product category varies, and location of unit and experience (Age of factory) are the important factors to blossom the business.
Production location 2. Export destination 3. Type of organization 4. Major product category 5. Market orientation 6. Age of factory 7. Education level of workers 1. Human Resource, (Karuppusami and Gandhinathan 2006; Lewis et al. 2006; Kim-Soon and Jantan 2010).
This bit of corporate jargon captures the hope that the golden age of factories will return with a bounty of well-paid union jobs and thriving local economies.
In the nineteenth century, an age of factories and suffrage, literacy rates increased, the price of books fell, and magazines were cheaper still.
Similarly, age and years of factory work exposed to solvents were significantly associated with this auditory outcome.
Variables significantly associated with RGD were age, solvent exposure, years of factory work exposed to solvents and past noise exposure.
Finally, the variables significantly associated with HINT composite included age, solvent exposure and years of factory work exposed to solvents.
Variables significantly associated with HINT SRT were age, solvent exposure and years of factory work exposed to solvents.
The bivariate models showed that age, solvent exposure and years of factory work exposed to solvents were significantly associated with HINT SRT and HINT composite.
