@article{Crawford_2008, title={Lessons Learned Delivering Optimized Supply Chain Planning to the Business World}, volume={29}, url={https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/2107}, DOI={10.1609/aimag.v29i2.2107}, abstractNote={<p style="margin-top: 0in; margin-right: 0in; margin-bottom: 0.0001pt; margin-left: 0in; text-align: justify; line-height: 11pt" class="First-LevelHeading"><span style="font-size: 9pt; font-weight: normal">The late 1990s saw a huge upswing in the demand for supply chain management software.<span>  </span>The rapid commercial adoption of these tools brought into sharp relief the complexity of automating supply chain planning and optimization.<span>  </span>This article summarizes four years of real-world experience in combining AI and OR techniques, balancing representational power against planning complexity, and understanding the practical implications of NP-completeness.</span></p>}, number={2}, journal={AI Magazine}, author={Crawford, James M}, year={2008}, month={Jul.}, pages={51} }