Sunday, 1 September 2013

Career Course in Industrial Management

Introduction:
Industrial Management is the branch of management that is concerned with the creation and management of systems that incorporate people, materials and energy in productive ways. Due to rapid industrialization in the country, India has emerged as one of the the fastest developing countries in the world. With the globalization of Indian economy coupled with opening up of industrial sector, a plethora of lucrative career opportunities are up for grabs. Many MNCs, Joint Ventures and even the indigenous companies are attracted towards India’s liberalized, economic policies and thus want to set up production facilities and factories across the country.

Therefore, an immediate need for skilled personnel in the stream of Industrial Management is increasing day by day. What’s more, global career opportunities are also plentiful for those pursuing courses in this particular field. A training program in industrial management is aimed at putting emphasis on the use of computers, mathematics, and statistics in management, and training professionals for positions of manager /management responsibility in industrially oriented industries such as textiles, steel, power, chemicals, aviation, and robotics and the like.

Application:
Industrial Management is a branch of management dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of integrated systems of people, money, knowledge, information, equipment, energy, materials, analysis and synthesis, as well as the mathematical, physical and social sciences together with the principles and methods of engineering design to specify, predict, and evaluate the results to be obtained from such systems or processes. Its underlying concepts overlap considerably with certain business-oriented disciplines such as Operations Management, but the engineering side tends to emphasize extensive mathematical proficiency and usage of quantitative methods.

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