spreadsheets model-based decision support for inventory target setting at procter & gamble

Project Description:

1. modeling of normal and gamma distributions for demands or forecast errors?
2. recognition of a two-tier distribution network: customers receive replenishments directly from the plants or through a local distribution center
3. pull and push policies
4. integration of forecast bias in the safety stock calculation.
5. automatic pooling of demands across shipping points.
6. replenishment intervals (shipping calendar) to effectively address replenishments across many items.

1. describe the benefits of the developed inventory decision systems in use at p&g.
2. what other inputs might be relevant in building inventory decision models?
3. would it be better for this dss to be available as a web-based dss?
4. what lessons can you learn from studying this case?
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Project Stats:

Price Type: Negotiable

Total Proposals: 4
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