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Case study
Publication date: 15 February 2014

Arnab Laha and Goutam Dutta

In this case we describe the gradual transformation of India's largest private sector steel manufacturer Tata Steel that enabled it to win the coveted Deming Prize for quality…

Abstract

In this case we describe the gradual transformation of India's largest private sector steel manufacturer Tata Steel that enabled it to win the coveted Deming Prize for quality. The case discusses how the company is able to maintain a relentless focus on meeting the customers' needs, sustain a culture for excellence in quality, build processes that empower the workers in taking decisions related to their area of work freely, instill leadership skills at all levels, and embed continuous improvement as part of their organizational culture.

Details

Indian Institute of Management Ahmedabad, vol. no.
Type: Case Study
ISSN: 2633-3260
Published by: Indian Institute of Management Ahmedabad

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Case study
Publication date: 11 February 2016

Karl Schmedders and Markus Schulze

thyssenkrupp Steel Europe, a major European steel company, operates a so-called push-pickling line (PPL) in Bochum, Germany. The PPL produces a particular type of steel strips…

Abstract

thyssenkrupp Steel Europe, a major European steel company, operates a so-called push-pickling line (PPL) in Bochum, Germany. The PPL produces a particular type of steel strips that are sold to B2B customers, mainly in the automotive industry. In spring 2014, a senior vice president of thyssenkrupp Steel's production operations and one of his production managers notice that over the span of ten years the production facility regularly did not meet its planned production volumes. They set out to determine the drivers for the deviations from planned production figures with the ultimate goal to improve the production planning process at the Bochum PPL. Students will step into the shoes of Markus Schulze a production manager at thyssenkrupp Steel as he searches for performance drivers at the Bochum PPL and analyzes recent production data to build a forecasting model for production planning.

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Case study (2)
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