Activity 01
Gallery Walk: Industry Location Decision Boards
Post five industry case cards around the room (steel, semiconductors, food processing, pharmaceuticals, software), each listing raw material sources, market locations, labor requirements, and energy costs. Students rotate through and annotate each card with where Weber's model would place the factory, then mark disagreements with actual observed locations. The class debriefs what factors drove the largest prediction errors.
Apply Weber's Least Cost Theory to predict the optimal location for a manufacturing plant.
Facilitation TipDuring the Gallery Walk, have students annotate each Industry Location Decision Board with sticky notes that name the dominant cost factor (transportation, labor, or agglomeration) and one real-world example that supports it.
What to look forPresent students with a scenario: A company produces bicycles. Raw materials (steel tubing, tires) weigh 500 lbs per unit, and the finished bicycle weighs 30 lbs. The market is 1000 miles away. Ask students to identify this as a weight-loss or weight-gain industry and explain which location factor (raw materials, market, or labor) is likely most critical based on this information.