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1. Probabilistic calculations of cost, and profit/loss using standard probability functions

2. Decision tree to find the expected monetary value (EMV) of different options.

3. Monte Carlo simulation for risk analysis.

4. Risk analysis in project management.

Learners will be able to understand and apply the following: how to approach uncertainty in business decisions using probabilistic calculations of cost, and profit/loss using standard probability functions; how to address uncertainty in business decisions by looking forward and reasoning backward, using the decision tree technique and the EMV of different decisions; how to analyse the risk inherent in business decisions by incorporating probability distributions for all critical variables in the form of Monte Carlo simulation; and appreciation of strategic considerations in risk analysis as it applies to project management

The case describes the challenge facing Vilas Birari, the owner and chief executive of Harsh Constructions, a construction company headquartered in Nasik, India. Birari had to decide on the bid for a construction project in September of 2021, during the COVID-19 (COVID) pandemic. Due to successive waves of the pandemic, the state and federal governments announced lockdowns intermittently, causing uncertainty in costs related to labor, material and project completion. The dilemma before Birari was how to set a bid price that was not so low as to incur a loss and not so high as to lose the bid to competitors. The uncertainty made Birari’s decision-making complex. The case invites students to help Birari find an optimum bid price by using various quantitative techniques, such as Monte Carlo simulation and decision trees.

This case is intended for students of management at a master’s level, in an elective course on management science, which is often also known as decision science. This compact case can be positioned in the second half of the course, when exploring risk management using computer simulation as a tool. The case serves both as an introduction to using simulation to manage uncertainty as well a contrast with simpler methods that are covered earlier in the course.

Teaching notes are available for educators only.

CSS 7: Management Science.