Tata Steel Operation Strategy

2920 WordsFeb 23, 201112 Pages
Book Reviews BENJAMIN LEV School of Management The University of Michigan-Dearborn 4901 Evergreen Road Dearborn, Michigan 48128-1491 % jr & I ^ X ^ X f.- M 0 The range of books reviewed is wide, covering theory and applications in operations research, statistics, econometrics, mathematics, computers, and information systems (no software is reviewed). In addition, we include books in other Helds that emphasize technical applications. Publishers who wish to have their books and proceedings reviewed should send them to Professor Benjamin Lev, School of Management, The University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn, Michigan 48128-1491, BLev@FOB-Fl.UMD.UMICH.EDU. We list the books and proceedings…show more content…
Tata Steel Tata Steel is the largest steel producer in India. The main project described is the development of a model for adjusting the mix of products to compensate for different levels of power shortages at various times in the day. Prior to describing this project, the presenters show how they used a productmix model to improve profitability, comparing its results to those of their previous strategy of maximizing output. The electricity shortage model built on this one with the added element of incorporating the fixed costs associated with the adjustments necessary to compensate for a lack of power. The value in this tape is at several levels. The users of the model make the point that they were skeptical that anyone in management science could tell metallurgists how to improve their operation of a steel plant. Juiy-August 1996 79 LEV The speakers do a good presentation on the use of sensitivity analysis to determine how much scrap to buy as a function of the price of scrap. Seeing this tape is as valuable for future managers in the developed countries as it is for those in less developed countries: developed countries have no lock on either knowledge or technology, and not using the available tools of management science will hurt firms operating in highwage areas of the world when faced with competition that not only pays lower wages but also uses sophisticated

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