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• Exercise | September 2013 (Revised September 2020)

  Process Analytics Simulation: Solutions

  Robert S. Huckman, Aizan Radzi, Willy Shih, Roy D. Shapiro and Michael W. Toffel

  A set of exercises and instructions to be used with the Process Simulator software made by Pro Model. These exercises allow students to investigate the impact of variable processing times on the performance of simple in-line processes. Includes color exhibits.

  Keywords: Operations; Business Processes; Performance; Measurement and Metrics;

  Citation:

  Huckman, Robert S., Aizan Radzi, Willy Shih, Roy D. Shapiro, and Michael W. Toffel. "Process Analytics Simulation: Solutions." Harvard Business School Exercise 614-029, September 2013. (Revised September 2020.)  View Details

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• Article | Harvard Business Review | September–October 2020

  Global Supply Chains in a Post-Pandemic World: Companies Need to Make Their Networks More Resilient. Here's How.

  Willy C. Shih

  The COVID-19 pandemic exposed the vulnerabilities in the production strategies and supply chains of firms everywhere. Coupled with a rise in economic nationalism, manufacturers everywhere are going to be under pressure to rethink their sourcing and logistics strategies. They need to analyze their risk exposures, and then think about how to improve their resilience. They should look beyond just relocating supply, towards harnessing process innovations and revisiting some of the trade-offs between product variety and flexibility.

  Keywords: resilience; pandemic; operations management; Health Pandemics; Supply Chain; Supply Chain Management; Manufacturing Industry; United States; Asia; Europe;

  Citation:

  Shih, Willy C. "Global Supply Chains in a Post-Pandemic World: Companies Need to Make Their Networks More Resilient. Here's How." R2005F. Harvard Business Review 98, no. 5 (September–October 2020): 82–89.  View Details

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• Technical Note | HBS Case Collection | August 2020

  Comparing Two Groups: Sampling and t-Testing

  Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel

  This note describes sampling and t-tests, two fundamental statistical concepts.

  Keywords: statistics; econometric analyses; experimental methods; data analysis; Data Analytics; Data and Data Sets; Analysis; Surveys; Mathematical Methods;

  Citation:

  Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.  View Details

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