TY - JOUR AU - Crawford, James M PY - 2008/07/10 Y2 - 2024/03/28 TI - Lessons Learned Delivering Optimized Supply Chain Planning to the Business World JF - AI Magazine JA - AIMag VL - 29 IS - 2 SE - Articles DO - 10.1609/aimag.v29i2.2107 UR - https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/2107 SP - 51 AB - <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> ER -