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Women in Production & Industrial Engineering

Tags : industrial engineering, production control, manufacturing strategy, manufacturer
Industry : Products/Heavy Machinery
Functional Area : People Management
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About "Women in Production & Industrial Engineering" topic:

Brainstorm on industrial engineering, production control, manufacturing strategy, manufacturer

1 debates , 1 question on topic: "Women in Production & Industrial Engineering"
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By : Isha Verma
Santosh A. Jadhav  |  Answered  |  2 years ago
I believe that manufacturing sector demands more physical efforts, and also in India automation is just entering, so now the scope for women to enter this field is opening, women can work on production line where fully automated lines are making...
anish kumar  |  Answered  |  2 years ago
In any field woman can be a equal player but it depends how mature they are in crisis management
aman katiyar  |  Answered  |  4 years ago
i think the nature of work in mfg. industry is responsible 4 that.In India ladies r not allowed to work in odd hours .for ex. if a powerplant demand some maintenance at 2 AM...u cant call a lady maintenance engineer to solve the problem.but  we...
 
 
Answer: "Why do you think there are relatively few women in Industrial & Production engineering?" deleted from your view.
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Standup operation is best in Apparel industry 
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 Situpup operation is best in Apparel industry
By : M.Satheesh Gandhi
M.Satheesh Gandhi  |  Argues in support of  "Standup operation is best in Apparel industry"  |  3 years ago
Because we can share 2 machine for a operator we can follow unit flow
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Debate: "Industrial Engineer-T.L, BAA" deleted from your view.
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Other knowledge matching "Women in Production & Industrial Engineering" topic
Posted by: Isha Verma
Activity: 0 referals , 16 comments, 685 views  
Industrial production shrinks by 2% as compared to the previous years 8% despite a stimulus package announced by the government to boost sagging demand. The manufacturing sector, which has a weight of about 80 per cent in the Index of Industrial Production (IIP), registered negative growth of 2.5 per cent against a rise of 8.6 per cent in December 2007. The production of consumer durables and consumer non-durables as well as intermediate items declined. Consumer durables production fell as much as 12.8 per cent. For the first nine months of the current fiscal, industrial growth stood at 3.2 per cent against 9 per cent a year ago. The official advance estimates released earlier this week pegged industrial growth at 4.8 per cent for the current fiscal.
Posted by: Vinod Sharma
Activity: 4 referals , 3 comments, 747 views  
In world of financial engineering , I have this information to share with you . Well the financial risks could be averted by adopting these measures . Have a look at these measures and you will know ..... The concept of livelihood insurance, where contracts will protect individuals from long-term economic risks such as the loss of a paycheck or the depreciation of one's home value. The concept of what he terms "macro markets" - where individuals, corporations, and governments alike can trade or hedge risks associated with the fluctuations in GDP or national incomes. The concept of income-linked loans - where lenders will make loans to governments, corporations or individuals whose repayment terms are tied to the incomes of these entities. Such repayment terms could be a certain percentage of one's income, which would cause the outstanding balance to decline if income levels decline. This would reduce the change of bankruptcies but will also alleviate our fears of taking more risks...
Posted by: Anirban Bhattacharjee
Activity: 11 referals , 2 comments, 319 views  
  Neural networks in financial engineering Neural networks have shown considerable successes in modeling financial data series. However, a major weakness of neural modeling is the lack of established procedures for performing tests for misspecified models, and tests of statistical significance for the various parameters that have been estimated.  This is a serious disadvantage in applications where there is a strong culture for testing not only the predictive power of a model or the sensitivity of the dependent variable to changes in the inputs but also the statistical significance of the finding at a specified level of confidence. Rarely is this more important than in the case of financial engineering, where the data generating processes are dominantly stochastic and only partially deterministic. Partly a tutorial, partly a review, this paper describes a collection of typical applications in options pricing, cointegration, the term structure of interest rates and models of...
Posted by: Dheeraj Singh
Activity: 4 referals , 2 comments, 419 views  
Financial engineering has provided innumerable lucrative opportunities for otherwise indigent mathematicians Nevertheless the turbulence in the bond markets in the last couple of months, at a time when the world economy’s prospects seemed set fair, have exposed a guilty secret of the financial engineering profession: its methods don’t work. First area of failure is liquidity. Theoretically, if financial engineers design ever fancier artificial securities and derivatives, but everybody uses the same mathematical models to value them, there is no reason why an active market should not operate in the securities, at whatever price the models direct. In practice this only works in calm markets. In times of market turbulence, when doubts arise about either the mathematical models themselves or the underlying assets from which value is derived, the true value of these artificial assets becomes thoroughly unclear. Buyers assess their value at the lowest possible level, and refuse to...
Posted by: NATTERAJA R. ARIKRISHNAN
Activity: 202 referals , 4 comments, 77 views  
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