Have you ever bought something where price wasn't the deciding factor? A cup of coffee because it tastes better, perhaps? Or maybe a pricier mechanic's services because you trust him? Purchasing decisions in our lives aren't black and white, and they shouldn't be in corporate purchasing departments either.

A conversation with Gregory L. Schlegel, adjunct professor of supply-chain risk management at Lehigh University.

Each disruption in global supply chains seems to bring a new surprise. On March 31 of this year, it was an explosion and fire at a chemical plant in Marl, Germany. The incident at the factory of Evonik Industries resulted in the deaths of two workers and caused damage that will take all summer to repair.

A year after adulterated heparin caused deaths in the United States and Europe, inspectors in California were still finding contaminated product in hospitals throughout the state, even though the manufacturer had sent out multiple recall notices, and the issue with the product was well known. As the pharmaceutical industry responds to regulatory mandates to address such weakness in the supply chain, it's important to ask, "Could this same thing happen in a 'serialized' world?"

By taking some small first steps with their existing data, manufacturers can make some giant leaps in their forecasting.