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Save-A-Lot operationalizes their cost leadership strategy using a limited-assortment approach to grocery retailing. Their stores are smaller than conventional grocery stores, and carry a reduced number of SKUs (as you saw in the GMA video). The site requirements you built into your factor weighting grids all play a key role in ensuring each Save-A-Lot location is sustainable over the long term. See Julie, Kristen, Andrew and Eddie's posts for good examples of grids with well considered factor weightings.
Ryan brings up another important point in his grid and question to Eddie: the role of median family income. Save-A-Lot's operationalization of its cost leadership strategy allows it to locate in neighborhoods with median household incomes below $45,000 (approximately). These neighborhoods are often neglected by conventional supermarkets, resulting in Save-A-Lot meeting a real social need. This story from WCPO in Cincinnati illustrates just such a circumstance (note the importance of foot traffic for this location).
This video shed new light on Save-A-lot's site requirements, helping us to understand the role/importance of each factor. A special shout-out to Lauren and Micah who not only created their factor weighting grids, but researched location data to come up with some potential store sites (though they didn't identify this location). :-) Nice work!
As we discussed in class, the factor weighting grid can be used for any number of management decisions. You now have a tool you can put to use in a variety of OM settings and circumstances; anytime you have multiple variables against which you need to exercise managerial discretion and judgement in making your decision.