How an Indianapolis Fish Market Used Linear and Nonlinear Programming to Maximize Profitability

How an Indianapolis Fish Market Used Linear and Nonlinear Programming to Maximize Profitability

  • Case
  • Teaching Notes
Abstract

Andrew Caplinger, the proprietor of a local chain of restaurants, makes a profit selling fish and side dishes. He believes that, if the business were run differently, sides could add more to the bottom line. But what changes would produce the greatest increase in profitability? This case shows how sales forecasting, linear programming, nonlinear programming, and simulation techniques can be used to maximize profits.

You are not authorized to view Teaching Notes. Please contact your librarian for access or sign in to your existing instructor profile.
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles