Fuzzy Decision Support System to Enhance Productivity in Indian Coal Mining Industry

Fuzzy Decision Support System to Enhance Productivity in Indian Coal Mining Industry

Gopal Singh (Central Coalfields Limited, Ranchi, India), Kuntal Mukherjee (Birla Institute of Technology Mesra, Ranchi, India), Alok Kumar Singh (Central Coal Field Limited, Ranchi, India) and Amar Nath Jha (Birla Institute of Technology Mesra, Ranchi, India)
Copyright: © 2017 |Pages: 10
DOI: 10.4018/jcit.2017010105
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Coal powers the Indian economy. Over 70% of the entire power generated in the country is coal based. Coal India produces over 84% of the entire country's coal. As coal mining is a capital intensive industry, it is important to maximize productivity. This paper explores how adoption of “Kayakalp” Model of e- governance in CCL, a subsidiary of Coal India, resulted in complete transformation of the company in terms of production and productivity. The fuzzy based decision support system has investigated this fact.
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Production is a process of converting an input into a more valuable output. The analysis of demand is mainly used for planning the production process and determining the level of production. For equilibrium, supply should be equal to demand. Thus, production is an aspect of the supply side of the market (Maheshwari, Y., 2012). The production process is shown in Figure 1.

Figure 1.

Production process (Maheshwari, 2012)


In Figure 1, an input is anything that the firm buys for use in its production process. The goods produced for sale through such a process are known as output. The major production decisions of any firm are related to the budget for the purchase of inputs, the distribution of the budget among the inputs, allocation of inputs to each output and combination of outputs. The overall concept can be well explained in production function. A production function is the technological relationship between the output and its inputs. These inputs are also known as the factors of production. Thus, a production function in case of a mining company can be described as follows:Q = f(Ld, L, K, M, T, S)where:

Q = OutputLd = Land employed in productionL = Labor employed in productionK = Capital employed in productionM = Management employed in production, Motivation level of stakeholdersT = Technology employed in productionS = Statutory clearances like environmental clearance, forestry clearance etc.

This manuscript is organized as follows: at first the problems and the issues of the Indian energy scenario followed by the challenges of Indian coal mining industry has been focused. After that the existing work had been discussed and thereafter the major steps adopted to enhance productivity in Indian coal industry, namely Central Coal Field Limited (CCL) has been presented. Next, a fuzzy based decision support system has been proposed and finally the conclusion part is given.


Indian Energy Scenario: An Overview

India is the 6th largest economy of the world with a GDP of $ 2.1 trillion. The economy grew by 7.3% in 2014-15 and 7.6% in 2015-16 to become the fastest growing economy in the world (Annual Report & Accounts, Central Coalfields Limited, India, 2015-2016, http://www.centralcoalfields.in/ind/). Clearly developed countries in the chart have high per capita energy consumption and their per capita GDP is over 20 times that of India. Electricity consumption per capita in India today is at the level US was in the late nineteenth and early twentieth century. Thus, India is about 100 years behind US in terms of per capita electricity consumption.

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