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Operations Management
Indian Railways: Data-Driven Decision Support System to Recommend Special Trains Operations
Special trains are unscheduled trains run to meet the unexpected surge in demand during holidays and festive seasons, which is generally difficult to predict. Special trains were therefore allocated at SCR using rule-based processes, resulting in suboptimal revenues and occupancy rates. This case presents a data-driven approach to schedule special trains based on passenger waitlist data and application of statistical techniques.
Learning Objectives
The central objectives of the case are the following:
- Understand the limitations of legacy systems and how to overcome them using the latest technologies.
- Discuss the practical approach to solving real-world problems using data analytics in the context of the special train scheduling challenge faced by IR.
- Appreciate the power of data-driven decision support systems and get hands-on experience of building and testing analytical data models.
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The Thomas Schmidheiny Chair of Family Business and Wealth Management at the Indian School of Business conducted a comprehensive research study aimed to capture some of the key practices of Indian family business firms. This paper presents notable managerial and academic insights about Indian family businesses as revealed by the research study.

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Promotion of cultivation and consumption of nutri-cereals in scheduled areas of Maharashtra, 2019
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This report highlights that selective targeting of certain crops, primarily of cereals such as wheat and rice, through favourable agriculture investment and government procurement policies has led to decline in production as well as consumption of other nutrition rich food grains such as sorghum and millets.
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