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• Case | HBS Case Collection | June 2020

  Vanguard Retail Operations (A)

  Willy C. Shih and Toni Moreno

  The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or specialists who focus on a subset of the overall transaction mix. The objective is to introduce the advantages of demand pooling in reducing the variability associated with the forecasting of highly variable workloads, while also demonstrating the benefits to worker learning and efficiency improvements that can come from specialization.
  
  The case is set at the Retail Investor Group Operations of the Vanguard Group, the mutual funds and ETF giant. Karin Risi, the managing director, is faced with a back-office operation that hasn’t kept up with massive transaction growth, one that is struggling under the weight of mounting client phone call and transaction volumes, client complaints, and buckling employee morale. And worse, the press was taking notice. The (A) case details the complexity in the growing backlog and frames the question of whether they should pursue a specialist model. The (B) case, for distribution in class, details the impact of an initial segmentation of workload into eight categories and poses additional questions for class discussion and analysis.

  Keywords: pooling; generalist model; specialist model; Operations; Service Operations; Management; Financial Services Industry; United States;

  Citation:

  Shih, Willy C., and Toni Moreno. "Vanguard Retail Operations (A)." Harvard Business School Case 620-104, June 2020.  View Details

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• Supplement | HBS Case Collection | June 2020

  Vanguard Retail Operations (B)

  Willy C. Shih and Antonio Moreno

  The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or specialists who focus on a subset of the overall transaction mix. The objective is to introduce the advantages of demand pooling in reducing the variability associated with the forecasting of highly variable workloads, while also demonstrating the benefits to worker learning and efficiency improvements that can come from specialization.
  
  The case is set at the Retail Investor Group Operations of the Vanguard Group, the mutual funds and ETF giant. Karin Risi, the managing director, is faced with a back-office operation that hasn’t kept up with massive transaction growth, one that is struggling under the weight of mounting client phone call and transaction volumes, client complaints, and buckling employee morale. And worse, the press was taking notice. The (A) case details the complexity in the growing backlog and frames the question of whether they should pursue a specialist model. The (B) case, for distribution in class, details the impact of an initial segmentation of workload into eight categories and poses additional questions for class discussion and analysis.

  Keywords: pooling; generalist model; specialist model; Service Operations; Management; Financial Services Industry; United States;

  Citation:

  Shih, Willy C., and Antonio Moreno. "Vanguard Retail Operations (B)." Harvard Business School Supplement 620-105, June 2020.  View Details

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• Case | HBS Case Collection | August 2017 (Revised March 2020)

  Flex Hungary: Launching Production (A)

  Willy Shih

  This case examines design choices in the construction of flow lines. Flow lines are a popular way of arranging production because they are simple and inherently efficient. Equipment or workstations are arranged according to the sequence of steps in which a product is made. Each step consists of a set of tasks that individually are minimum rational work elements. These are combined to form the work assignment associated with the step. The work follows the same sequence of operations as it moves down the line, and the sequence is fixed from batch to batch. The case setting is a production site in Hungary that is starting up the production of a personal beverage maker. Should the team implement a conveyor-paced line in preference to a manual pull system? An analysis of process steps and times gives students an opportunity to debate this question.

  Keywords: manufacturing; line-balancing; flow line; conveyor-paced line; consumer goods; consumer products; Production management; Production Planning; Production scheduling; Operations; Production; Management; Supply Chain; Design; Analysis; Goods and Commodities; Consumer Products Industry; Manufacturing Industry; European Union;

  Citation:

  Shih, Willy. "Flex Hungary: Launching Production (A)." Harvard Business School Case 618-002, August 2017. (Revised March 2020.)  View Details

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