作者： David Z. Zhang , Rio Hondo
DOI:
关键词: Set (abstract data type) 、 Cost of goods sold 、 Operations research 、 Mathematical optimization 、 Supply chain 、 Bill of materials 、 Lead time 、 Supply chain network 、 Engineering 、 Process (computing) 、 Multi-objective optimization
摘要: In this paper, the supply chain is modeled by a network of stages, which may have one or more options for being fulfilled, where each option characterized its time and cost. The objective to determine every stage that minimizes Cost Goods Sold Lead Time simultaneously set products represented Generic Bill Materials. order achieve it, work proposes using new meta-heuristic called Intelligent Water Drop, mimics process takes place between water drops in river changes happen bed. Artificial minimize cost lead concept Pareto Optimal Set that, instead obtaining single solution, determines optimal solutions proposed equations compute velocity artificial drops. A widely used notebook literature solved we provide some performance metrics algorithm. We compare results algorithm with computed other meta-heuristics.