Modeling Strategic Decisions: The Case of Airlines in India

            
 
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This case study was compiled from published sources, and is intended to be used as a basis for class discussion. It is not intended to illustrate either effective or ineffective handling of a management situation. Nor is it a primary information source.



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Case Details:

Price:

Case Code : OPER103 For delivery in electronic format: Rs. 500;
For delivery through courier (within India): Rs. 500 + Rs. 25 for Shipping & Handling Charges

Themes

Operations/ Management Science/ Quantitative Methods/ Business Analytics

Case Length : 15 pages
Period : 2002-2008
Organization : ---
Pub Date : 2012
Teaching Note : Available
Countries : India
Industry : Airlines

Abstract:

The purpose of this case is to teach skills in analytical modeling of strategic decisions based on real life data. Strategic decisions such as utilization, allocation of capacity, and pricing made by airlines in India in recent years provide the context. The relevance and application of the ‘newsvendor’ model as a tool for analyzing these strategic decisions is illustrated. This case is suitable for use in management science/quantitative methods/business analytics or operations management classes for graduate or senior undergraduate students. An important feature of the case is that modeling is being applied to the analysis of strategic decisions. Therefore, it can also be used in a business strategy class to illustrate how these applications can lead to useful insights on strategy.

Operations Management Case Studies | Case Study in Management, Operations, Strategies, Marketing Management, Case Studies

Issues:

Modeling Strategic decisions
Capacity Utilization
Capacity allocation
Pricing
Quantitative methods
Business analytics

Contents:

  Page No.
Introduction 1
Commercial Aviation in India 1
Industry Trends and Developments 2
Exhibit 14

Keywords:

Operations, Management Science, Quantitative Methods, Operational Strategies, Business Analytics, Capacity utilization, Capacity allocation, Pricing, ‘Newsvendor’ model, Sensitivity analysis.

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