You Say You Know How To Balance Competing Objectives. Are You Sure?

You need to source some more cocoa for your chocolate factories to keep production moving (and the oompa loompas working). In years past, you’d just hold an auction and cut a contract with the lowest cost bidder, but you can’t do that now that you’re a socially responsible buyer. You can’t buy from some sellers on the Ivory Coast that you know are using child labor, you can’t buy from further away than necessary as long hauls greatly increase your carbon footprint, and you can’t buy inferior products for your luxury chocolate production lines. You can buy some inferior products for your mass economy goods, provided they are blended with higher quality goods, but only so much. You can ship further if the cost is low enough that you can buy carbon credits. And you can source a portion of your award from a select handful of Ivory Coast suppliers who are making an active effort to approve their socially responsible operations.

It’s a complicated decision as you have to balance cost vs. carbon vs. quality vs. brand value. In fact, the only way to truly make the best decision is to use a (strategic sourcing) decision optimization solution that allows for multi-criteria multi-variate optimization that allows a buyer to determine the cost and benefits of various solutions with respect to each objective. In addition, it’s the only way a buyer can truly examine the effect of different weightings of the various criteria under consideration.

While many of the SSDO (strategic sourcing decision optimization) platforms do not yet support this capability, you can be sure that most of tomorrow’s platforms will. To find out what other capabilities are forthcoming in the world of decision optimization, visit BravoSolution‘s website, fill out a short 8-field registration form, and receive your free, exclusive, copy of The Future of Optimization, a new Sourcing Innovation white-paper with groundbreaking insight on eight directions that strategic sourcing decision optimization is likely to take in the decade ahead.

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